import pandas as pd
import numpy as np
import statsmodels.api as sm
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import netCDF4 as nc
import pandas as pd
import os
import csv
from glob import glob
import xarray as xr
import matplotlib.ticker as ticker
import numpy as np
import pandas as pd
import statsmodels.api as sm
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import numpy as np
import pandas as pd
import statsmodels.api as sm
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
from matplotlib.colors import LinearSegmentedColormap, Normalize
from mpl_toolkits.axes_grid1 import make_axes_locatable
import geopandas as gpd
import matplotlib.colors as mcolors
import matplotlib.lines as mlines
from matplotlib.font_manager import FontProperties
# Step 1: Data Preparation
# Load your dataset into a pandas DataFrame
os.chdir('/Users/chenchenren/postdoc/paper/2N and water-US/Figure 3 Yiled under warming scenario/')
# Load data from an Excel file
excel_file = "scenario_management.xlsx"
sheet_name = "soybean"
data = pd.read_excel(excel_file, sheet_name=sheet_name)
data1=data[data['sample'] == 1].copy()
data1=data1.sort_values(by=['geoid', 'scenario'])
print(data1)
data2015=data1[data1['scenario'] == 2015].copy()
print(data2015)
data1['tmp'] = data1.groupby(['geoid','scenario'])['tmp'].transform('mean')
data1['pre'] = data1.groupby(['geoid','scenario'])['pre'].transform('mean')
data1['tmp2015'] = data1.groupby(['geoid','scenario'])['tmp2015'].transform('mean')
data1['pre2015'] = data1.groupby(['geoid','scenario'])['pre2015'].transform('mean')
data1=data1.drop_duplicates(subset=['geoid','scenario'])
data1=data1.drop(['model','lnyield'], axis=1)
print(data1)
geoid year tmp pre har irrigation1 lnyield_obs \ 26081 1001 2015 25.44350 5.702415 779.625 0.377088 7.509678 26084 1001 2015 24.71859 5.866428 779.625 0.377088 7.509678 26086 1001 2015 25.15585 5.960842 779.625 0.377088 7.509678 26087 1001 2015 24.83175 7.541522 779.625 0.377088 7.509678 26089 1001 2015 25.34826 6.200767 779.625 0.377088 7.509678 ... ... ... ... ... ... ... ... 43802 55141 2015 15.16129 7.028600 6700.507 0.000000 7.921128 43804 55141 2015 16.77098 5.360460 6700.507 0.000000 7.921128 43805 55141 2015 16.46397 6.299626 6700.507 0.000000 7.921128 43807 55141 2015 16.07257 6.365017 6700.507 0.000000 7.921128 43809 55141 2015 18.05135 5.488240 6700.507 0.000000 7.921128 lnfer lnyield group sample scenario pre2015 model tmp2015 26081 2.457656 NaN 1 1 1.5 4.174539 gfdl 26.21985 26084 2.457656 NaN 1 1 1.5 6.327019 ipsl 24.13167 26086 2.457656 NaN 1 1 1.5 4.268701 mpi 24.93584 26087 2.457656 NaN 1 1 1.5 8.572182 mri 25.04051 26089 2.457656 NaN 1 1 1.5 9.683448 ukesm1 24.72551 ... ... ... ... ... ... ... ... ... 43802 2.556201 NaN 2 1 2015.0 7.028600 gfdl 15.16129 43804 2.556201 NaN 2 1 2015.0 5.360460 ipsl 16.77098 43805 2.556201 NaN 2 1 2015.0 6.299626 mpi 16.46397 43807 2.556201 NaN 2 1 2015.0 6.365017 mri 16.07257 43809 2.556201 NaN 2 1 2015.0 5.488240 ukesm1 18.05135 [26595 rows x 15 columns] geoid year tmp pre har irrigation1 lnyield_obs \ 17218 1001 2015 24.93584 4.268701 779.625 0.377088 7.509678 26082 1001 2015 26.21985 4.174539 779.625 0.377088 7.509678 26083 1001 2015 24.13167 6.327019 779.625 0.377088 7.509678 26088 1001 2015 25.04051 8.572182 779.625 0.377088 7.509678 26090 1001 2015 24.72551 9.683448 779.625 0.377088 7.509678 ... ... ... ... ... ... ... ... 43802 55141 2015 15.16129 7.028600 6700.507 0.000000 7.921128 43804 55141 2015 16.77098 5.360460 6700.507 0.000000 7.921128 43805 55141 2015 16.46397 6.299626 6700.507 0.000000 7.921128 43807 55141 2015 16.07257 6.365017 6700.507 0.000000 7.921128 43809 55141 2015 18.05135 5.488240 6700.507 0.000000 7.921128 lnfer lnyield group sample scenario pre2015 model tmp2015 17218 2.457656 NaN 1 1 2015.0 4.268701 mpi 24.93584 26082 2.457656 NaN 1 1 2015.0 4.174539 gfdl 26.21985 26083 2.457656 NaN 1 1 2015.0 6.327019 ipsl 24.13167 26088 2.457656 NaN 1 1 2015.0 8.572182 mri 25.04051 26090 2.457656 NaN 1 1 2015.0 9.683448 ukesm1 24.72551 ... ... ... ... ... ... ... ... ... 43802 2.556201 NaN 2 1 2015.0 7.028600 gfdl 15.16129 43804 2.556201 NaN 2 1 2015.0 5.360460 ipsl 16.77098 43805 2.556201 NaN 2 1 2015.0 6.299626 mpi 16.46397 43807 2.556201 NaN 2 1 2015.0 6.365017 mri 16.07257 43809 2.556201 NaN 2 1 2015.0 5.488240 ukesm1 18.05135 [8865 rows x 15 columns] geoid year tmp pre har irrigation1 lnyield_obs \ 26081 1001 2015 25.099590 6.254395 779.625 0.377088 7.509678 17216 1001 2015 26.784940 6.208599 779.625 0.377088 7.509678 17218 1001 2015 25.010676 6.605178 779.625 0.377088 7.509678 17222 1003 2015 26.261318 9.274925 6358.433 0.738441 7.927428 17221 1003 2015 27.808318 8.926058 6358.433 0.738441 7.927428 ... ... ... ... ... ... ... ... 26072 55139 2015 20.012748 5.680057 14541.420 0.000000 8.028848 26071 55139 2015 17.287318 5.693542 14541.420 0.000000 8.028848 26077 55141 2015 17.398562 5.719637 6700.507 0.000000 7.921128 26076 55141 2015 19.304302 6.116161 6700.507 0.000000 7.921128 43802 55141 2015 16.504032 6.108389 6700.507 0.000000 7.921128 lnfer group sample scenario pre2015 tmp2015 26081 2.457656 1 1 1.5 6.605178 25.010676 17216 2.457656 1 1 3.0 6.605178 25.010676 17218 2.457656 1 1 2015.0 6.605178 25.010676 17222 1.292553 1 1 1.5 9.548671 26.127096 17221 1.292553 1 1 3.0 9.548671 26.127096 ... ... ... ... ... ... ... 26072 1.255133 2 1 3.0 5.693542 17.287318 26071 1.255133 2 1 2015.0 5.693542 17.287318 26077 2.556201 2 1 1.5 6.108389 16.504032 26076 2.556201 2 1 3.0 6.108389 16.504032 43802 2.556201 2 1 2015.0 6.108389 16.504032 [5319 rows x 13 columns]
import pandas as pd
import statsmodels.api as sm
# Load data from an Excel file
excel_file = "scenario_management.xlsx"
sheet_name = "soybean"
data = pd.read_excel(excel_file, sheet_name=sheet_name)
# Create interaction terms
data['tmp_tmp_interaction'] = data['tmp'] ** 2
data['pre_pre_interaction'] = data['pre'] ** 2
data['irrigation12'] = data['irrigation1'] ** 2
data['lnfer_irrigation1_tmp_interaction'] = data['lnfer'] * data['irrigation1'] * data['tmp']
data['lnfer_irrigation12_tmp_tmp_interaction'] = data['lnfer'] * data['irrigation12'] * data['tmp'] ** 2
data['lnfer_irrigation1_pre_interaction'] = data['lnfer'] * data['irrigation1'] * data['pre']
data['lnfer_irrigation12_pre_pre_interaction'] = data['lnfer'] * data['irrigation12'] * data['pre'] ** 2
data['lnfer_tmp_interaction'] = data['lnfer'] * data['tmp']
data['lnfer_tmp_tmp_interaction'] = data['lnfer'] * data['tmp'] ** 2
data['lnfer_pre_interaction'] = data['lnfer'] * data['pre']
data['lnfer_pre_pre_interaction'] = data['lnfer'] * data['pre'] ** 2
# Define predictor variables and response variable
predictor_variables1 = ['lnfer', 'tmp', 'irrigation1', 'irrigation12', 'tmp_tmp_interaction',
'pre', 'pre_pre_interaction', 'lnfer_irrigation1_pre_interaction', 'lnfer_irrigation12_pre_pre_interaction',
'lnfer_irrigation1_tmp_interaction', 'lnfer_irrigation12_tmp_tmp_interaction']
predictor_variables2 = ['lnfer', 'tmp', 'tmp_tmp_interaction', 'irrigation1', 'irrigation12', 'pre', 'pre_pre_interaction',
'lnfer_tmp_interaction', 'lnfer_tmp_tmp_interaction',
'lnfer_pre_interaction', 'lnfer_pre_pre_interaction']
response_variable = 'lnyield'
# Function to perform regression analysis
def perform_regression(group_data, predictor_variables):
X = sm.add_constant(group_data[predictor_variables])
y = group_data[response_variable]
return sm.OLS(y, X).fit()
# Create a list to store data rows
data_rows = []
sample_data = data[data['sample'] == 0].copy()
print(sample_data)
project_data = data1
print(project_data)
# Iterate through 'results' and extract values
for group in sample_data['group'].unique():
group_data = sample_data[sample_data['group'] == group].copy()
predictor_variables = predictor_variables1 if group == 1 else predictor_variables2
reg = perform_regression(group_data, predictor_variables)
for group_proj in project_data['group'].unique():
if group == group_proj:
# Calculate y_temp_base based on regression parameters
tmp_values = project_data[project_data['group'] == group_proj]['tmp'].values
pre_values = project_data[project_data['group'] == group_proj]['pre'].values
lnfer_values = project_data[project_data['group'] == group_proj]['lnfer'].values
irrigation1_values = project_data[project_data['group'] == group_proj]['irrigation1'].values
if group_proj == 1:
print(reg.params['tmp_tmp_interaction'])
print(reg.params['const'])
y_temp_base = (
reg.params['tmp_tmp_interaction'] * tmp_values**2 +
reg.params['tmp'] * tmp_values +
reg.params['pre_pre_interaction'] * pre_values**2 +
reg.params['pre'] * pre_values +
reg.params['lnfer'] * lnfer_values +
reg.params['irrigation1'] * irrigation1_values +
reg.params['irrigation12'] * irrigation1_values**2 +
reg.params['lnfer_irrigation1_tmp_interaction'] * irrigation1_values * tmp_values * lnfer_values +
reg.params['lnfer_irrigation12_tmp_tmp_interaction'] * irrigation1_values**2 * lnfer_values * tmp_values**2 +
reg.params['lnfer_irrigation1_pre_interaction'] * irrigation1_values * pre_values * lnfer_values +
reg.params['lnfer_irrigation12_pre_pre_interaction'] * irrigation1_values**2 * lnfer_values * pre_values**2 +
reg.params['const']
)
print(len(y_temp_base))
else:
print(reg.params['tmp_tmp_interaction'])
print(reg.params['const'])
y_temp_base = (
reg.params['tmp_tmp_interaction'] * tmp_values**2 +
reg.params['tmp'] * tmp_values +
reg.params['pre_pre_interaction'] * pre_values**2 +
reg.params['pre'] * pre_values +
reg.params['lnfer'] * lnfer_values +
reg.params['lnfer_tmp_interaction'] * tmp_values * lnfer_values +
reg.params['lnfer_tmp_tmp_interaction'] * lnfer_values * tmp_values**2 +
reg.params['lnfer_pre_interaction'] * pre_values * lnfer_values +
reg.params['lnfer_pre_pre_interaction'] * lnfer_values * pre_values**2 +
reg.params['const']
)
print(len(y_temp_base))
# Extract 'geoid', 'scenario', and 'model' from the original data
geoid_values = project_data[project_data['group'] == group_proj]['geoid'].values
scenario_values = project_data[project_data['group'] == group_proj]['scenario'].values
lnyield_obs_values= project_data[project_data['group'] == group_proj]['lnyield_obs'].values
har_values= project_data[project_data['group'] == group_proj]['har'].values
for tmp, pre, lnfer, irrigation1,y_temp_base_val, geoid, scenario, lnyield_obs,har in zip(
tmp_values, pre_values, lnfer_values, irrigation1_values,
y_temp_base, geoid_values, scenario_values, lnyield_obs_values,har_values
):
data_rows.append([tmp, pre, lnfer, irrigation1, y_temp_base_val, geoid, scenario,
lnyield_obs,har])
# Create a DataFrame from the data
results_base = pd.DataFrame(data_rows, columns=['tmp','pre','lnfer','irrigation1',
'y_temp_base', 'geoid', 'scenario',
'lnyield_obs','har'])
results_base_t = results_base[(results_base['scenario'] == 1.5)|(results_base['scenario'] == 3)]
# Rename the 'y_temp_base' column to 'y_temp_base2015'
results_base_t.rename(columns={'y_temp_base': 'y_temp_base_t'}, inplace=True)
results_base_t = results_base_t[['geoid', 'scenario','y_temp_base_t','lnyield_obs',
'har','tmp','pre','lnfer','irrigation1']]
print(results_base_t)
geoid year tmp pre har irrigation1 lnyield_obs \ 0 1001 2009 24.14066 8.808839 1900.0 0.718851 7.609614 1 1001 2010 25.67548 5.438990 1900.0 0.830087 7.035731 2 1001 2011 24.54482 5.270162 1500.0 0.595086 7.466514 3 1001 2013 24.03659 7.514143 2400.0 0.001241 7.926855 4 1003 2008 24.72723 8.675528 19000.0 0.001980 7.934111 ... ... ... ... ... ... ... ... 17211 55141 2016 17.48690 7.304833 18200.0 0.000000 8.134343 17212 55141 2017 16.59024 6.467205 19597.5 0.000000 7.978877 17213 55141 2018 17.26666 8.373576 23000.0 0.000000 7.838077 17214 55141 2019 16.23859 8.735889 10100.0 0.000000 7.912185 17215 55141 2020 16.20263 6.832954 18500.0 0.000000 8.173033 lnfer lnyield group ... pre_pre_interaction irrigation12 \ 0 2.022537 7.900063 1 ... 77.595645 0.516747 1 1.910005 7.661077 1 ... 29.582612 0.689044 2 2.025641 7.785866 1 ... 27.774608 0.354128 3 2.906756 8.084917 1 ... 56.462345 0.000002 4 1.240602 7.807824 1 ... 75.264786 0.000004 ... ... ... ... ... ... ... 17211 2.860158 8.062482 2 ... 53.360585 0.000000 17212 2.633171 7.905756 2 ... 41.824741 0.000000 17213 2.639034 8.039181 2 ... 70.116775 0.000000 17214 2.671287 7.918515 2 ... 76.315757 0.000000 17215 2.625827 7.873821 2 ... 46.689260 0.000000 lnfer_irrigation1_tmp_interaction \ 0 35.098172 1 40.707692 2 29.587092 3 0.086679 4 0.060734 ... ... 17211 0.000000 17212 0.000000 17213 0.000000 17214 0.000000 17215 0.000000 lnfer_irrigation12_tmp_tmp_interaction \ 0 609.077444 1 867.597822 2 432.157531 3 0.002585 4 0.002973 ... ... 17211 0.000000 17212 0.000000 17213 0.000000 17214 0.000000 17215 0.000000 lnfer_irrigation1_pre_interaction \ 0 12.807195 1 8.623353 2 6.352818 3 0.027097 4 0.021308 ... ... 17211 0.000000 17212 0.000000 17213 0.000000 17214 0.000000 17215 0.000000 lnfer_irrigation12_pre_pre_interaction lnfer_tmp_interaction \ 0 81.098269 48.825378 1 38.932997 49.040295 2 19.923715 49.718994 3 0.000253 69.868502 4 0.000366 30.676651 ... ... ... 17211 0.000000 50.015297 17212 0.000000 43.684939 17213 0.000000 45.567303 17214 0.000000 43.377934 17215 0.000000 42.545303 lnfer_tmp_tmp_interaction lnfer_pre_interaction \ 0 1178.676851 17.816203 1 1259.133118 10.388498 2 1220.343752 10.675456 3 1679.400541 21.841780 4 758.548605 10.762877 ... ... ... 17211 874.612496 20.892977 17212 724.743620 17.029257 17213 786.795125 22.098152 17214 704.396491 23.336067 17215 689.345808 17.942155 lnfer_pre_pre_interaction 0 156.940062 1 56.502937 2 56.261384 3 164.122260 4 93.373644 ... ... 17211 152.619705 17212 110.131694 17213 185.040553 17214 203.861289 17215 122.597920 [17216 rows x 26 columns] geoid year tmp pre har irrigation1 lnyield_obs \ 26081 1001 2015 25.099590 6.254395 779.625 0.377088 7.509678 17216 1001 2015 26.784940 6.208599 779.625 0.377088 7.509678 17218 1001 2015 25.010676 6.605178 779.625 0.377088 7.509678 17222 1003 2015 26.261318 9.274925 6358.433 0.738441 7.927428 17221 1003 2015 27.808318 8.926058 6358.433 0.738441 7.927428 ... ... ... ... ... ... ... ... 26072 55139 2015 20.012748 5.680057 14541.420 0.000000 8.028848 26071 55139 2015 17.287318 5.693542 14541.420 0.000000 8.028848 26077 55141 2015 17.398562 5.719637 6700.507 0.000000 7.921128 26076 55141 2015 19.304302 6.116161 6700.507 0.000000 7.921128 43802 55141 2015 16.504032 6.108389 6700.507 0.000000 7.921128 lnfer group sample scenario pre2015 tmp2015 26081 2.457656 1 1 1.5 6.605178 25.010676 17216 2.457656 1 1 3.0 6.605178 25.010676 17218 2.457656 1 1 2015.0 6.605178 25.010676 17222 1.292553 1 1 1.5 9.548671 26.127096 17221 1.292553 1 1 3.0 9.548671 26.127096 ... ... ... ... ... ... ... 26072 1.255133 2 1 3.0 5.693542 17.287318 26071 1.255133 2 1 2015.0 5.693542 17.287318 26077 2.556201 2 1 1.5 6.108389 16.504032 26076 2.556201 2 1 3.0 6.108389 16.504032 43802 2.556201 2 1 2015.0 6.108389 16.504032 [5319 rows x 13 columns] -0.013398123665888008 0.9408977132139006 3816 -0.00627099550076526 4.94855569752093 1503 geoid scenario y_temp_base_t lnyield_obs har tmp \ 0 1001 1.5 7.846458 7.509678 779.625 25.099590 1 1001 3.0 7.622792 7.509678 779.625 26.784940 3 1003 1.5 7.590898 7.927428 6358.433 26.261318 4 1003 3.0 7.351790 7.927428 6358.433 27.808318 6 1005 1.5 7.807509 8.161582 526.500 25.408514 ... ... ... ... ... ... ... 5311 55137 3.0 8.006494 7.941248 5335.875 19.677776 5313 55139 1.5 7.878360 8.028848 14541.420 18.099080 5314 55139 3.0 7.962289 8.028848 14541.420 20.012748 5316 55141 1.5 7.946194 7.921128 6700.507 17.398562 5317 55141 3.0 8.128488 7.921128 6700.507 19.304302 pre lnfer irrigation1 0 6.254395 2.457656 0.377088 1 6.208599 2.457656 0.377088 3 9.274925 1.292553 0.738441 4 8.926058 1.292553 0.738441 6 6.727813 2.114730 0.028216 ... ... ... ... 5311 5.922441 1.553310 0.000000 5313 5.372444 1.255133 0.000000 5314 5.680057 1.255133 0.000000 5316 5.719637 2.556201 0.000000 5317 6.116161 2.556201 0.000000 [3546 rows x 9 columns]
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3163514716.py:119: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy results_base_t.rename(columns={'y_temp_base': 'y_temp_base_t'}, inplace=True)
results_base_test = results_base_t[(results_base['scenario'] == 1.5)]
print(results_base_test)
results_base_test = results_base_t[(results_base['scenario'] == 3)]
print(results_base_test)
geoid scenario y_temp_base_t lnyield_obs har tmp \ 0 1001 1.5 7.846458 7.509678 779.625 25.099590 3 1003 1.5 7.590898 7.927428 6358.433 26.261318 6 1005 1.5 7.807509 8.161582 526.500 25.408514 9 1009 1.5 8.252038 7.840701 1107.736 23.976584 12 1011 1.5 8.183765 7.984614 870.750 25.246212 ... ... ... ... ... ... ... 5304 55133 1.5 7.939076 7.974899 7837.872 18.514920 5307 55135 1.5 7.859488 7.957613 9909.051 17.319042 5310 55137 1.5 7.893858 7.941248 5335.875 17.765668 5313 55139 1.5 7.878360 8.028848 14541.420 18.099080 5316 55141 1.5 7.946194 7.921128 6700.507 17.398562 pre lnfer irrigation1 0 6.254395 2.457656 0.377088 3 9.274925 1.292553 0.738441 6 6.727813 2.114730 0.028216 9 6.790346 4.361742 0.056342 12 6.448847 4.858469 0.030586 ... ... ... ... 5304 5.639188 1.516143 0.000000 5307 5.592127 1.466300 0.000000 5310 5.555818 1.553310 0.000000 5313 5.372444 1.255133 0.000000 5316 5.719637 2.556201 0.000000 [1773 rows x 9 columns] geoid scenario y_temp_base_t lnyield_obs har tmp \ 1 1001 3.0 7.622792 7.509678 779.625 26.784940 4 1003 3.0 7.351790 7.927428 6358.433 27.808318 7 1005 3.0 7.574791 8.161582 526.500 27.067738 10 1009 3.0 8.067909 7.840701 1107.736 25.706190 13 1011 3.0 7.957275 7.984614 870.750 26.923034 ... ... ... ... ... ... ... 5305 55133 3.0 8.016329 7.974899 7837.872 20.450390 5308 55135 3.0 7.978732 7.957613 9909.051 19.245958 5311 55137 3.0 8.006494 7.941248 5335.875 19.677776 5314 55139 3.0 7.962289 8.028848 14541.420 20.012748 5317 55141 3.0 8.128488 7.921128 6700.507 19.304302 pre lnfer irrigation1 1 6.208599 2.457656 0.377088 4 8.926058 1.292553 0.738441 7 6.742623 2.114730 0.028216 10 6.658286 4.361742 0.056342 13 6.491163 4.858469 0.030586 ... ... ... ... 5305 5.862562 1.516143 0.000000 5308 5.878897 1.466300 0.000000 5311 5.922441 1.553310 0.000000 5314 5.680057 1.255133 0.000000 5317 6.116161 2.556201 0.000000 [1773 rows x 9 columns]
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3619970064.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index. results_base_test = results_base_t[(results_base['scenario'] == 1.5)] /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3619970064.py:4: UserWarning: Boolean Series key will be reindexed to match DataFrame index. results_base_test = results_base_t[(results_base['scenario'] == 3)]
# Load data from an Excel file
excel_file = "scenario_management.xlsx"
sheet_name = "soybean"
data = pd.read_excel(excel_file, sheet_name=sheet_name)
# Create interaction terms
data['tmp_tmp_interaction'] = data['tmp'] ** 2
data['pre_pre_interaction'] = data['pre'] ** 2
data['irrigation12'] = data['irrigation1'] ** 2
data['lnfer_irrigation1_tmp_interaction'] = data['lnfer'] * data['irrigation1'] * data['tmp']
data['lnfer_irrigation12_tmp_tmp_interaction'] = data['lnfer'] * data['irrigation12'] * data['tmp'] ** 2
data['lnfer_irrigation1_pre_interaction'] = data['lnfer'] * data['irrigation1'] * data['pre']
data['lnfer_irrigation12_pre_pre_interaction'] = data['lnfer'] * data['irrigation12'] * data['pre'] ** 2
data['lnfer_tmp_interaction'] = data['lnfer'] * data['tmp']
data['lnfer_tmp_tmp_interaction'] = data['lnfer'] * data['tmp'] ** 2
data['lnfer_pre_interaction'] = data['lnfer'] * data['pre']
data['lnfer_pre_pre_interaction'] = data['lnfer'] * data['pre'] ** 2
# Define predictor variables and response variable
predictor_variables1 = ['lnfer', 'tmp', 'irrigation1', 'irrigation12', 'tmp_tmp_interaction',
'pre', 'pre_pre_interaction', 'lnfer_irrigation1_pre_interaction', 'lnfer_irrigation12_pre_pre_interaction',
'lnfer_irrigation1_tmp_interaction', 'lnfer_irrigation12_tmp_tmp_interaction']
predictor_variables2 = ['lnfer', 'tmp', 'tmp_tmp_interaction', 'irrigation1', 'irrigation12', 'pre', 'pre_pre_interaction',
'lnfer_tmp_interaction', 'lnfer_tmp_tmp_interaction',
'lnfer_pre_interaction', 'lnfer_pre_pre_interaction']
response_variable = 'lnyield'
# Function to perform regression analysis
def perform_regression(group_data, predictor_variables):
X = sm.add_constant(group_data[predictor_variables])
y = group_data[response_variable]
return sm.OLS(y, X).fit()
# Create a list to store data rows
data_rows = []
sample_data = data[data['sample'] == 0].copy()
project_data = data1
# Iterate through 'results' and extract values
for group in sample_data['group'].unique():
group_data = sample_data[sample_data['group'] == group].copy()
predictor_variables = predictor_variables1 if group == 1 else predictor_variables2
reg = perform_regression(group_data, predictor_variables)
for group_proj in project_data['group'].unique():
if group == group_proj:
# Calculate y_temp_base based on regression parameters
tmp_values = project_data[project_data['group'] == group_proj]['tmp'].values
pre_values = project_data[project_data['group'] == group_proj]['pre'].values
lnfer_values = project_data[project_data['group'] == group_proj]['lnfer'].values
irrigation1_values = project_data[project_data['group'] == group_proj]['irrigation1'].values
if group_proj == 1:
print(reg.params['tmp_tmp_interaction'])
print(reg.params['const'])
y_temp_base = (
reg.params['tmp_tmp_interaction'] * tmp_values**2 +
reg.params['tmp'] * tmp_values +
reg.params['pre_pre_interaction'] * pre_values**2 +
reg.params['pre'] * pre_values +
reg.params['lnfer'] * lnfer_values +
reg.params['irrigation1'] * irrigation1_values +
reg.params['irrigation12'] * irrigation1_values**2 +
reg.params['lnfer_irrigation1_tmp_interaction'] * irrigation1_values * tmp_values * lnfer_values +
reg.params['lnfer_irrigation12_tmp_tmp_interaction'] * irrigation1_values**2 * lnfer_values * tmp_values**2 +
reg.params['lnfer_irrigation1_pre_interaction'] * irrigation1_values * pre_values * lnfer_values +
reg.params['lnfer_irrigation12_pre_pre_interaction'] * irrigation1_values**2 * lnfer_values * pre_values**2 +
reg.params['const']
)
print(len(y_temp_base))
else:
print(reg.params['tmp_tmp_interaction'])
y_temp_base = (
reg.params['tmp_tmp_interaction'] * tmp_values**2 +
reg.params['tmp'] * tmp_values +
reg.params['pre_pre_interaction'] * pre_values**2 +
reg.params['pre'] * pre_values +
reg.params['lnfer'] * lnfer_values +
reg.params['lnfer_tmp_interaction'] * tmp_values * lnfer_values +
reg.params['lnfer_tmp_tmp_interaction'] * lnfer_values * tmp_values**2 +
reg.params['lnfer_pre_interaction'] * pre_values * lnfer_values +
reg.params['lnfer_pre_pre_interaction'] * lnfer_values * pre_values**2 +
reg.params['const']
)
print(len(y_temp_base))
# Extract 'geoid', 'scenario', and 'model' from the original data
geoid_values = project_data[project_data['group'] == group_proj]['geoid'].values
scenario_values = project_data[project_data['group'] == group_proj]['scenario'].values
print(scenario_values)
for tmp, pre, lnfer, irrigation1,y_temp_base_val, geoid, scenario in zip(
tmp_values, pre_values, lnfer_values, irrigation1_values,
y_temp_base, geoid_values, scenario_values
):
data_rows.append([tmp, pre, lnfer, irrigation1, y_temp_base_val, geoid, scenario])
# Create a DataFrame from the data
results_base = pd.DataFrame(data_rows, columns=['tmp','pre','lnfer','irrigation1',
'y_temp_base', 'geoid', 'scenario'])
results_base = results_base.sort_values(by=['geoid', 'scenario'])
print(results_base)
results_base = results_base[results_base['scenario'] == 2015]
# Rename the 'y_temp_base' column to 'y_temp_base2015'
results_base.rename(columns={'y_temp_base': 'y_temp_base2015'}, inplace=True)
# Keep only the desired columns in results_2015
results_base2015 = results_base[['geoid', 'y_temp_base2015']]
print(results_base2015)
-0.013398123665888008 0.9408977132139006 3816 [1.500e+00 3.000e+00 2.015e+03 ... 1.500e+00 3.000e+00 2.015e+03] -0.00627099550076526 1503 [1.500e+00 3.000e+00 2.015e+03 ... 1.500e+00 3.000e+00 2.015e+03] tmp pre lnfer irrigation1 y_temp_base geoid scenario 0 25.099590 6.254395 2.457656 0.377088 7.846458 1001 1.5 1 26.784940 6.208599 2.457656 0.377088 7.622792 1001 3.0 2 25.010676 6.605178 2.457656 0.377088 7.871762 1001 2015.0 3 26.261318 9.274925 1.292553 0.738441 7.590898 1003 1.5 4 27.808318 8.926058 1.292553 0.738441 7.351790 1003 3.0 ... ... ... ... ... ... ... ... 5314 20.012748 5.680057 1.255133 0.000000 7.962289 55139 3.0 5315 17.287318 5.693542 1.255133 0.000000 7.849514 55139 2015.0 5316 17.398562 5.719637 2.556201 0.000000 7.946194 55141 1.5 5317 19.304302 6.116161 2.556201 0.000000 8.128488 55141 3.0 5318 16.504032 6.108389 2.556201 0.000000 7.871178 55141 2015.0 [5319 rows x 7 columns] geoid y_temp_base2015 2 1001 7.871762 5 1003 7.599898 8 1005 7.821125 11 1009 8.285447 14 1011 8.201724 ... ... ... 5306 55133 7.901357 5309 55135 7.816405 5312 55137 7.854962 5315 55139 7.849514 5318 55141 7.871178 [1773 rows x 2 columns]
data = results_base_t.merge(results_base2015, left_on=['geoid'], right_on=['geoid'], how='left')
data.rename(columns={'scenario_x': 'scenario'}, inplace=True)
data = data.sort_values(by=['geoid', 'scenario'])
print(data)
data['yield_warming']=np.exp(data['y_temp_base_t']-data['y_temp_base2015']+data['lnyield_obs'])
data['gap_yield_warming']=(data['yield_warming']-np.exp(data['lnyield_obs']))/1000 #tonne/ha
data['gap_production_warming']=data['gap_yield_warming']*data['har']/10000 #10000 tonne
print(data)
data = data[['geoid', 'scenario', 'tmp', 'pre', 'lnfer','irrigation1', 'y_temp_base_t','y_temp_base2015',
'lnyield_obs','har','gap_yield_warming','gap_production_warming']]
data = data.drop_duplicates(subset=['geoid','scenario'])
data['group'] = np.where(data['irrigation1'] > 0, 1, 2)
yield_loss = data[data['gap_yield_warming'] < 0]
yield_loss['id'] = range(1, len(yield_loss) + 1)
print(yield_loss)
output_csv_file = "soybean_yield_loss.csv"
yield_loss.to_csv(output_csv_file, index=False)
print(f"Data saved to '{output_csv_file}'")
yield_gain = data[data['gap_yield_warming'] >= 0]
output_csv_file = "soybean_yield_gain.csv"
# Save the 'output_df' DataFrame to a CSV file
yield_gain.to_csv(output_csv_file, index=False)
print(f"Data saved to '{output_csv_file}'")
print(yield_gain)
geoid scenario y_temp_base_t lnyield_obs har tmp \ 0 1001 1.5 7.846458 7.509678 779.625 25.099590 1 1001 3.0 7.622792 7.509678 779.625 26.784940 2 1003 1.5 7.590898 7.927428 6358.433 26.261318 3 1003 3.0 7.351790 7.927428 6358.433 27.808318 4 1005 1.5 7.807509 8.161582 526.500 25.408514 ... ... ... ... ... ... ... 3541 55137 3.0 8.006494 7.941248 5335.875 19.677776 3542 55139 1.5 7.878360 8.028848 14541.420 18.099080 3543 55139 3.0 7.962289 8.028848 14541.420 20.012748 3544 55141 1.5 7.946194 7.921128 6700.507 17.398562 3545 55141 3.0 8.128488 7.921128 6700.507 19.304302 pre lnfer irrigation1 y_temp_base2015 0 6.254395 2.457656 0.377088 7.871762 1 6.208599 2.457656 0.377088 7.871762 2 9.274925 1.292553 0.738441 7.599898 3 8.926058 1.292553 0.738441 7.599898 4 6.727813 2.114730 0.028216 7.821125 ... ... ... ... ... 3541 5.922441 1.553310 0.000000 7.854962 3542 5.372444 1.255133 0.000000 7.849514 3543 5.680057 1.255133 0.000000 7.849514 3544 5.719637 2.556201 0.000000 7.871178 3545 6.116161 2.556201 0.000000 7.871178 [3546 rows x 10 columns] geoid scenario y_temp_base_t lnyield_obs har tmp \ 0 1001 1.5 7.846458 7.509678 779.625 25.099590 1 1001 3.0 7.622792 7.509678 779.625 26.784940 2 1003 1.5 7.590898 7.927428 6358.433 26.261318 3 1003 3.0 7.351790 7.927428 6358.433 27.808318 4 1005 1.5 7.807509 8.161582 526.500 25.408514 ... ... ... ... ... ... ... 3541 55137 3.0 8.006494 7.941248 5335.875 19.677776 3542 55139 1.5 7.878360 8.028848 14541.420 18.099080 3543 55139 3.0 7.962289 8.028848 14541.420 20.012748 3544 55141 1.5 7.946194 7.921128 6700.507 17.398562 3545 55141 3.0 8.128488 7.921128 6700.507 19.304302 pre lnfer irrigation1 y_temp_base2015 yield_warming \ 0 6.254395 2.457656 0.377088 7.871762 1780.009827 1 6.208599 2.457656 0.377088 7.871762 1423.263948 2 9.274925 1.292553 0.738441 7.599898 2747.448365 3 8.926058 1.292553 0.738441 7.599898 2163.149263 4 6.727813 2.114730 0.028216 7.821125 3456.341787 ... ... ... ... ... ... 3541 5.922441 1.553310 0.000000 7.854962 3270.766621 3542 5.372444 1.255133 0.000000 7.849514 3157.999025 3543 5.680057 1.255133 0.000000 7.849514 3434.487053 3544 5.719637 2.556201 0.000000 7.871178 2969.485302 3545 6.116161 2.556201 0.000000 7.871178 3563.285992 gap_yield_warming gap_production_warming 0 -0.045616 -0.003556 1 -0.402362 -0.031369 2 -0.024839 -0.015794 3 -0.609138 -0.387316 4 -0.047383 -0.002495 ... ... ... 3541 0.459900 0.245397 3542 0.089794 0.130573 3543 0.366282 0.532626 3544 0.214609 0.143799 3545 0.808409 0.541675 [3546 rows x 13 columns] geoid scenario tmp pre lnfer irrigation1 \ 0 1001 1.5 25.099590 6.254395 2.457656 0.377088 1 1001 3.0 26.784940 6.208599 2.457656 0.377088 2 1003 1.5 26.261318 9.274925 1.292553 0.738441 3 1003 3.0 27.808318 8.926058 1.292553 0.738441 4 1005 1.5 25.408514 6.727813 2.114730 0.028216 ... ... ... ... ... ... ... 2538 51800 1.5 23.349492 7.419639 1.187985 0.008524 2539 51800 3.0 25.061998 7.586472 1.187985 0.008524 2540 51810 1.5 23.207888 7.236578 2.482080 0.010662 2541 51810 3.0 24.859328 7.207139 2.482080 0.010662 2543 54037 3.0 23.294406 5.721528 0.935788 0.000171 y_temp_base_t y_temp_base2015 lnyield_obs har \ 0 7.846458 7.871762 7.509678 779.625 1 7.622792 7.871762 7.509678 779.625 2 7.590898 7.599898 7.927428 6358.433 3 7.351790 7.599898 7.927428 6358.433 4 7.807509 7.821125 8.161582 526.500 ... ... ... ... ... 2538 7.896463 7.928655 7.798817 7968.552 2539 7.753334 7.928655 7.798817 7968.552 2540 8.075677 8.111622 7.872881 4972.955 2541 7.939772 8.111622 7.872881 4972.955 2543 7.775021 7.820683 7.900531 3976.619 gap_yield_warming gap_production_warming group id 0 -0.045616 -0.003556 1 1 1 -0.402362 -0.031369 1 2 2 -0.024839 -0.015794 1 3 3 -0.609138 -0.387316 1 4 4 -0.047383 -0.002495 1 5 ... ... ... ... ... 2538 -0.077225 -0.061537 1 1994 2539 -0.392016 -0.312380 1 1995 2540 -0.092685 -0.046092 1 1996 2541 -0.414491 -0.206125 1 1997 2543 -0.120458 -0.047901 1 1998 [1998 rows x 14 columns] Data saved to 'soybean_yield_loss.csv' Data saved to 'soybean_yield_gain.csv' geoid scenario tmp pre lnfer irrigation1 \ 50 1069 1.5 25.677906 7.390798 2.593498 0.121473 2552 12059 1.5 25.725970 8.270085 4.063033 0.000000 182 12079 1.5 26.184586 8.465425 2.237931 0.250696 186 13001 1.5 25.463322 7.289039 2.390463 0.156666 188 13005 1.5 25.477230 7.421095 2.430111 0.463811 ... ... ... ... ... ... ... 3541 55137 3.0 19.677776 5.922441 1.553310 0.000000 3542 55139 1.5 18.099080 5.372444 1.255133 0.000000 3543 55139 3.0 20.012748 5.680057 1.255133 0.000000 3544 55141 1.5 17.398562 5.719637 2.556201 0.000000 3545 55141 3.0 19.304302 6.116161 2.556201 0.000000 y_temp_base_t y_temp_base2015 lnyield_obs har \ 50 7.856622 7.855991 7.600072 1158.260 2552 8.488000 8.480298 7.819335 1620.000 182 7.744525 7.743934 7.504254 810.000 186 7.850894 7.826060 7.739274 1883.279 188 7.833117 7.813368 7.649385 484.704 ... ... ... ... ... 3541 8.006494 7.854962 7.941248 5335.875 3542 7.878360 7.849514 8.028848 14541.420 3543 7.962289 7.849514 8.028848 14541.420 3544 7.946194 7.871178 7.921128 6700.507 3545 8.128488 7.871178 7.921128 6700.507 gap_yield_warming gap_production_warming group 50 0.001261 0.000146 1 2552 0.019239 0.003117 2 182 0.001073 0.000087 1 186 0.057755 0.010877 1 188 0.041872 0.002030 1 ... ... ... ... 3541 0.459900 0.245397 2 3542 0.089794 0.130573 2 3543 0.366282 0.532626 2 3544 0.214609 0.143799 2 3545 0.808409 0.541675 2 [1548 rows x 13 columns]
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3169964443.py:18: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy yield_loss['id'] = range(1, len(yield_loss) + 1)
import pandas as pd
import statsmodels.api as sm
import cmath
# Load data from an Excel file
excel_file = "scenario_management.xlsx"
sheet_name = "soybean"
data = pd.read_excel(excel_file, sheet_name=sheet_name)
# Create interaction terms
data['tmp_tmp_interaction'] = data['tmp'] ** 2
data['pre_pre_interaction'] = data['pre'] ** 2
data['irrigation12'] = data['irrigation1'] ** 2
data['lnfer_irrigation1_tmp_interaction'] = data['lnfer'] * data['irrigation1'] * data['tmp']
data['lnfer_irrigation12_tmp_tmp_interaction'] = data['lnfer'] * data['irrigation12'] * data['tmp'] ** 2
data['lnfer_irrigation1_pre_interaction'] = data['lnfer'] * data['irrigation1'] * data['pre']
data['lnfer_irrigation12_pre_pre_interaction'] = data['lnfer'] * data['irrigation12'] * data['pre'] ** 2
data['lnfer_tmp_interaction'] = data['lnfer'] * data['tmp']
data['lnfer_tmp_tmp_interaction'] = data['lnfer'] * data['tmp'] ** 2
data['lnfer_pre_interaction'] = data['lnfer'] * data['pre']
data['lnfer_pre_pre_interaction'] = data['lnfer'] * data['pre'] ** 2
# Define predictor variables and response variable
predictor_variables1 = ['lnfer', 'tmp', 'irrigation1', 'irrigation12', 'tmp_tmp_interaction',
'pre', 'pre_pre_interaction', 'lnfer_irrigation1_pre_interaction', 'lnfer_irrigation12_pre_pre_interaction',
'lnfer_irrigation1_tmp_interaction', 'lnfer_irrigation12_tmp_tmp_interaction']
predictor_variables2 = ['lnfer', 'tmp', 'tmp_tmp_interaction', 'irrigation1', 'irrigation12', 'pre', 'pre_pre_interaction',
'lnfer_tmp_interaction', 'lnfer_tmp_tmp_interaction',
'lnfer_pre_interaction', 'lnfer_pre_pre_interaction']
response_variable = 'lnyield'
# Function to perform regression analysis
def perform_regression(group_data, predictor_variables):
X = sm.add_constant(group_data[predictor_variables])
y = group_data[response_variable]
return sm.OLS(y, X).fit()
# Create a list to store data rows
data_rows = []
sample_data = data[data['sample'] == 0].copy()
print(sample_data)
project_data = yield_loss.copy()
print(project_data)
# Iterate through 'results' and extract values
for group in sample_data['group'].unique():
group_data = sample_data[sample_data['group'] == group].copy()
predictor_variables = predictor_variables1 if group == 1 else predictor_variables2
reg = perform_regression(group_data, predictor_variables)
for group_proj in project_data['group'].unique():
if group == group_proj:
# Calculate y_temp_base based on regression parameters
tmp_values = project_data[project_data['group'] == group_proj]['tmp'].values
pre_values = project_data[project_data['group'] == group_proj]['pre'].values
lnfer_values = project_data[project_data['group'] == group_proj]['lnfer'].values
irrigation1_values = project_data[project_data['group'] == group_proj]['irrigation1'].values
y_temp_base2015_values = project_data[project_data['group'] == group_proj]['y_temp_base2015'].values
if group_proj == 1:
print(reg.params['tmp_tmp_interaction'])
print(reg.params['const'])
lnfer_need = (
(y_temp_base2015_values-
reg.params['tmp_tmp_interaction'] * tmp_values**2 -
reg.params['tmp'] * tmp_values -
reg.params['pre_pre_interaction'] * pre_values**2 -
reg.params['pre'] * pre_values -
reg.params['irrigation1'] * irrigation1_values -
reg.params['irrigation12'] * irrigation1_values**2 -
reg.params['const'])/
(reg.params['lnfer']+
reg.params['lnfer_irrigation1_tmp_interaction'] * irrigation1_values * tmp_values +
reg.params['lnfer_irrigation12_tmp_tmp_interaction'] * irrigation1_values**2 * tmp_values**2 +
reg.params['lnfer_irrigation1_pre_interaction'] * irrigation1_values * pre_values +
reg.params['lnfer_irrigation12_pre_pre_interaction'] * irrigation1_values**2 * pre_values**2
)
)
print(len(lnfer_need))
else:
print(reg.params['tmp_tmp_interaction'])
print(reg.params['const'])
lnfer_need = (
(y_temp_base2015_values-
reg.params['tmp_tmp_interaction'] * tmp_values**2 -
reg.params['tmp'] * tmp_values -
reg.params['pre_pre_interaction'] * pre_values**2 -
reg.params['pre'] * pre_values -
reg.params['const'])/
(reg.params['lnfer']+
reg.params['lnfer_tmp_interaction'] * tmp_values +
reg.params['lnfer_tmp_tmp_interaction'] * tmp_values**2 +
reg.params['lnfer_pre_interaction'] * pre_values +
reg.params['lnfer_pre_pre_interaction'] * pre_values**2
)
)
print(len(lnfer_need))
# Extract 'geoid', 'scenario', and 'model' from the original data
geoid_values = project_data[project_data['group'] == group_proj]['geoid'].values
scenario_values = project_data[project_data['group'] == group_proj]['scenario'].values
lnyield_obs_values= project_data[project_data['group'] == group_proj]['lnyield_obs'].values
har_values= project_data[project_data['group'] == group_proj]['har'].values
y_temp_base_t_values= project_data[project_data['group'] == group_proj]['y_temp_base_t'].values
for tmp, pre, lnfer, irrigation1,y_temp_base2015, y_temp_base_t, geoid, scenario, lnyield_obs,har,lnfer_need in zip(
tmp_values, pre_values, lnfer_values, irrigation1_values,
y_temp_base2015_values,y_temp_base_t_values, geoid_values, scenario_values, lnyield_obs_values,
har_values,lnfer_need
):
data_rows.append([tmp, pre, lnfer, irrigation1, y_temp_base2015, y_temp_base_t, geoid, scenario,
lnyield_obs,har,lnfer_need])
# Create a DataFrame from the data
results_lnfer = pd.DataFrame(data_rows, columns=['tmp','pre','lnfer','irrigation1',
'y_temp_base2015', 'y_temp_base_t', 'geoid', 'scenario',
'lnyield_obs','har','lnfer_need'])
print(results_lnfer)
geoid year tmp pre har irrigation1 lnyield_obs \ 0 1001 2009 24.14066 8.808839 1900.0 0.718851 7.609614 1 1001 2010 25.67548 5.438990 1900.0 0.830087 7.035731 2 1001 2011 24.54482 5.270162 1500.0 0.595086 7.466514 3 1001 2013 24.03659 7.514143 2400.0 0.001241 7.926855 4 1003 2008 24.72723 8.675528 19000.0 0.001980 7.934111 ... ... ... ... ... ... ... ... 17211 55141 2016 17.48690 7.304833 18200.0 0.000000 8.134343 17212 55141 2017 16.59024 6.467205 19597.5 0.000000 7.978877 17213 55141 2018 17.26666 8.373576 23000.0 0.000000 7.838077 17214 55141 2019 16.23859 8.735889 10100.0 0.000000 7.912185 17215 55141 2020 16.20263 6.832954 18500.0 0.000000 8.173033 lnfer lnyield group ... pre_pre_interaction irrigation12 \ 0 2.022537 7.900063 1 ... 77.595645 0.516747 1 1.910005 7.661077 1 ... 29.582612 0.689044 2 2.025641 7.785866 1 ... 27.774608 0.354128 3 2.906756 8.084917 1 ... 56.462345 0.000002 4 1.240602 7.807824 1 ... 75.264786 0.000004 ... ... ... ... ... ... ... 17211 2.860158 8.062482 2 ... 53.360585 0.000000 17212 2.633171 7.905756 2 ... 41.824741 0.000000 17213 2.639034 8.039181 2 ... 70.116775 0.000000 17214 2.671287 7.918515 2 ... 76.315757 0.000000 17215 2.625827 7.873821 2 ... 46.689260 0.000000 lnfer_irrigation1_tmp_interaction \ 0 35.098172 1 40.707692 2 29.587092 3 0.086679 4 0.060734 ... ... 17211 0.000000 17212 0.000000 17213 0.000000 17214 0.000000 17215 0.000000 lnfer_irrigation12_tmp_tmp_interaction \ 0 609.077444 1 867.597822 2 432.157531 3 0.002585 4 0.002973 ... ... 17211 0.000000 17212 0.000000 17213 0.000000 17214 0.000000 17215 0.000000 lnfer_irrigation1_pre_interaction \ 0 12.807195 1 8.623353 2 6.352818 3 0.027097 4 0.021308 ... ... 17211 0.000000 17212 0.000000 17213 0.000000 17214 0.000000 17215 0.000000 lnfer_irrigation12_pre_pre_interaction lnfer_tmp_interaction \ 0 81.098269 48.825378 1 38.932997 49.040295 2 19.923715 49.718994 3 0.000253 69.868502 4 0.000366 30.676651 ... ... ... 17211 0.000000 50.015297 17212 0.000000 43.684939 17213 0.000000 45.567303 17214 0.000000 43.377934 17215 0.000000 42.545303 lnfer_tmp_tmp_interaction lnfer_pre_interaction \ 0 1178.676851 17.816203 1 1259.133118 10.388498 2 1220.343752 10.675456 3 1679.400541 21.841780 4 758.548605 10.762877 ... ... ... 17211 874.612496 20.892977 17212 724.743620 17.029257 17213 786.795125 22.098152 17214 704.396491 23.336067 17215 689.345808 17.942155 lnfer_pre_pre_interaction 0 156.940062 1 56.502937 2 56.261384 3 164.122260 4 93.373644 ... ... 17211 152.619705 17212 110.131694 17213 185.040553 17214 203.861289 17215 122.597920 [17216 rows x 26 columns] geoid scenario tmp pre lnfer irrigation1 \ 0 1001 1.5 25.099590 6.254395 2.457656 0.377088 1 1001 3.0 26.784940 6.208599 2.457656 0.377088 2 1003 1.5 26.261318 9.274925 1.292553 0.738441 3 1003 3.0 27.808318 8.926058 1.292553 0.738441 4 1005 1.5 25.408514 6.727813 2.114730 0.028216 ... ... ... ... ... ... ... 2538 51800 1.5 23.349492 7.419639 1.187985 0.008524 2539 51800 3.0 25.061998 7.586472 1.187985 0.008524 2540 51810 1.5 23.207888 7.236578 2.482080 0.010662 2541 51810 3.0 24.859328 7.207139 2.482080 0.010662 2543 54037 3.0 23.294406 5.721528 0.935788 0.000171 y_temp_base_t y_temp_base2015 lnyield_obs har \ 0 7.846458 7.871762 7.509678 779.625 1 7.622792 7.871762 7.509678 779.625 2 7.590898 7.599898 7.927428 6358.433 3 7.351790 7.599898 7.927428 6358.433 4 7.807509 7.821125 8.161582 526.500 ... ... ... ... ... 2538 7.896463 7.928655 7.798817 7968.552 2539 7.753334 7.928655 7.798817 7968.552 2540 8.075677 8.111622 7.872881 4972.955 2541 7.939772 8.111622 7.872881 4972.955 2543 7.775021 7.820683 7.900531 3976.619 gap_yield_warming gap_production_warming group id 0 -0.045616 -0.003556 1 1 1 -0.402362 -0.031369 1 2 2 -0.024839 -0.015794 1 3 3 -0.609138 -0.387316 1 4 4 -0.047383 -0.002495 1 5 ... ... ... ... ... 2538 -0.077225 -0.061537 1 1994 2539 -0.392016 -0.312380 1 1995 2540 -0.092685 -0.046092 1 1996 2541 -0.414491 -0.206125 1 1997 2543 -0.120458 -0.047901 1 1998 [1998 rows x 14 columns] -0.013398123665888008 0.9408977132139006 1454 -0.00627099550076526 4.94855569752093 544 tmp pre lnfer irrigation1 y_temp_base2015 \ 0 25.099590 6.254395 2.457656 0.377088 7.871762 1 26.784940 6.208599 2.457656 0.377088 7.871762 2 26.261318 9.274925 1.292553 0.738441 7.599898 3 27.808318 8.926058 1.292553 0.738441 7.599898 4 25.408514 6.727813 2.114730 0.028216 7.821125 ... ... ... ... ... ... 1993 22.617856 6.753251 3.697080 0.000000 8.499517 1994 24.369986 6.937165 3.697080 0.000000 8.499517 1995 20.956338 7.018248 3.798184 0.000000 8.457635 1996 22.735782 6.657891 1.348576 0.000000 8.031712 1997 24.547064 6.747815 1.348576 0.000000 8.031712 y_temp_base_t geoid scenario lnyield_obs har lnfer_need 0 7.846458 1001 1.5 7.509678 779.625 2.667937 1 7.622792 1001 3.0 7.509678 779.625 4.505245 2 7.590898 1003 1.5 7.927428 6358.433 1.404700 3 7.351790 1003 3.0 7.927428 6358.433 4.202620 4 7.807509 1005 1.5 8.161582 526.500 2.215152 ... ... ... ... ... ... ... 1993 8.465001 51103 1.5 8.077533 2916.000 3.877447 1994 8.441412 51103 3.0 8.077533 2916.000 3.975355 1995 8.455265 51141 1.5 7.902284 243.000 3.812177 1996 8.009433 51159 1.5 7.841456 5668.211 1.464794 1997 7.935400 51159 3.0 7.841456 5668.211 1.812194 [1998 rows x 11 columns]
results_lnfer['gap_fer']=(np.exp(results_lnfer['lnfer_need'])-np.exp(results_lnfer['lnfer'])) #kg/ha
print(np.min(results_lnfer['lnfer_need']),np.max(results_lnfer['lnfer_need']),
np.mean(results_lnfer['lnfer_need']))
print(np.min(results_lnfer['gap_fer']),np.max(results_lnfer['gap_fer']),
np.mean(results_lnfer['gap_fer']),np.sum(np.isnan(results_lnfer['gap_fer'])))
-0.4063629468457881 8.448517994776964 2.8843655717223564 0.0016115767952669113 4302.983035950181 51.56176822502462 0
# Function to perform regression analysis
def perform_regression(group_data, predictor_variables, response_variable):
X = sm.add_constant(group_data[predictor_variables])
y = group_data[response_variable]
return sm.OLS(y, X).fit()
# Function to solve quadratic equation
def quadratic_solver(a, b, c):
# Calculate the discriminant
discriminant = b**2 - 4*a*c
# Print values for debugging
print("a:", a)
print("b:", b)
print("c:", c)
print("discriminant:", discriminant)
# Check if the discriminant is negative
if discriminant < 0:
return np.array([9999])
# Calculate the solutions using the quadratic formula
solution1 = (-b + np.sqrt(discriminant)) / (2*a)
solution2 = (-b - np.sqrt(discriminant)) / (2*a)
# Check conditions and return the appropriate solution
if solution1.real > 0 and solution2.real > 0:
# Return the smaller solution as a length-1 array
return np.array([min(solution1.real, solution2.real)])
elif solution1.real > 0 and solution2.real < 0:
# Return the larger solution if one is greater than 0
return np.array([max(solution1.real, solution2.real)])
elif solution2.real > 0 and solution1.real < 0:
# Return the larger solution if one is greater than 0
return np.array([max(solution1.real, solution2.real)])
else:
# Return 9999 if all solutions are less than 0
return np.array([9999]) # cannot offset the yield loss
# Load data from an Excel file
excel_file = "scenario_management.xlsx"
sheet_name = "soybean"
data = pd.read_excel(excel_file, sheet_name=sheet_name)
# Create interaction terms
data['tmp_tmp_interaction'] = data['tmp'] ** 2
data['pre_pre_interaction'] = data['pre'] ** 2
data['irrigation12'] = data['irrigation1'] ** 2
data['lnfer_irrigation1_tmp_interaction'] = data['lnfer'] * data['irrigation1'] * data['tmp']
data['lnfer_irrigation12_tmp_tmp_interaction'] = data['lnfer'] * data['irrigation12'] * data['tmp'] ** 2
data['lnfer_irrigation1_pre_interaction'] = data['lnfer'] * data['irrigation1'] * data['pre']
data['lnfer_irrigation12_pre_pre_interaction'] = data['lnfer'] * data['irrigation12'] * data['pre'] ** 2
data['lnfer_tmp_interaction'] = data['lnfer'] * data['tmp']
data['lnfer_tmp_tmp_interaction'] = data['lnfer'] * data['tmp'] ** 2
data['lnfer_pre_interaction'] = data['lnfer'] * data['pre']
data['lnfer_pre_pre_interaction'] = data['lnfer'] * data['pre'] ** 2
# Define predictor variables and response variable
predictor_variables1 = ['lnfer', 'tmp', 'irrigation1', 'irrigation12', 'tmp_tmp_interaction',
'pre', 'pre_pre_interaction', 'lnfer_irrigation1_pre_interaction', 'lnfer_irrigation12_pre_pre_interaction',
'lnfer_irrigation1_tmp_interaction', 'lnfer_irrigation12_tmp_tmp_interaction']
response_variable = 'lnyield'
# Perform regression on group1_data
group1_data = data[(data['group'] == 1) & (data['sample'] == 0)].copy()
reg = perform_regression(group1_data, predictor_variables1, response_variable)
# Create a list to store data rows
data_rows = []
data= yield_loss.copy()
for id_ in data['id'].unique():
subset_data = data[data['id'] == id_]
print(reg.params['tmp_tmp_interaction'])
tmp_values = subset_data['tmp']
pre_values = subset_data['pre']
lnfer_values = subset_data['lnfer']
irrigation1_values = subset_data['irrigation1']
y_values=subset_data['y_temp_base2015']
c_result = (
-y_values +
reg.params['tmp_tmp_interaction'] * tmp_values**2 +
reg.params['tmp'] * tmp_values +
reg.params['pre_pre_interaction'] * pre_values**2 +
reg.params['pre'] * pre_values +
reg.params['lnfer'] * lnfer_values +
reg.params['const']
)
b_result = (
reg.params['irrigation1'] +
reg.params['lnfer_irrigation1_tmp_interaction'] * tmp_values * lnfer_values +
reg.params['lnfer_irrigation1_pre_interaction'] * pre_values * lnfer_values
)
a_result = (
reg.params['irrigation12'] +
reg.params['lnfer_irrigation12_tmp_tmp_interaction'] * lnfer_values * tmp_values**2 +
reg.params['lnfer_irrigation12_pre_pre_interaction'] * lnfer_values * pre_values**2
)
irri_need = []
for a, b, c in zip(a_result, b_result, c_result):
irri_need.append(quadratic_solver(a, b, c))
# Extract relevant values from the original row
geoid_values = subset_data['geoid']
scenario_values = subset_data['scenario']
lnyield_obs_values = subset_data['lnyield_obs']
y_temp_base_t_values = subset_data['y_temp_base_t']
data_rows.extend(zip(
tmp_values, pre_values, lnfer_values, irrigation1_values,
subset_data['y_temp_base2015'], y_temp_base_t_values, geoid_values, scenario_values,
lnyield_obs_values, subset_data['har'], irri_need
))
# Create a DataFrame from the data_rows list
results_irri = pd.DataFrame(data_rows, columns=['tmp', 'pre', 'lnfer', 'irrigation1',
'y_temp_base2015', 'y_temp_base_t', 'geoid', 'scenario',
'lnyield_obs', 'har', 'irri_need'])
results_irri.loc[results_irri['irri_need'] == 9999, 'irri_need'] = np.nan
# Print the resulting DataFrame
print(results_irri)
results_irri.loc[results_irri['irri_need'] == 9999, 'irri_need'] = np.nan
# Convert "irri_need" column to string type
results_irri['irri_need'] = results_irri['irri_need'].astype(str)
# Remove square brackets from the "irri_need" column
results_irri['irri_need'] = results_irri['irri_need'].str.strip('[]')
# Extract the first element from each array and convert to float with three digits after the decimal point
results_irri['irri_need'] = results_irri['irri_need'].str.extract(r'(\d+\.\d{3})', expand=False).astype(float)
print('results_irri')
print(results_irri)
print(np.min(results_irri['irri_need']),np.max(results_irri['irri_need']),
np.mean(results_irri['irri_need']))
print(np.nanpercentile(results_irri['irri_need'], 5),np.nanpercentile(results_irri['irri_need'], 95))
# adjust the irrigation intensity to not exceed the current maximum level
irri_max=np.nanpercentile(group1_data['irrigation1'], 95)
print(irri_max)
results_irri.loc[results_irri['irri_need'] >irri_max, 'irri_need'] = irri_max
print(np.min(results_irri['irri_need']),np.max(results_irri['irri_need']),
np.mean(results_irri['irri_need']))
-0.013398123665888008 a: 0.007539267124127302 b: -0.052007415160134046 c: -0.006764521565875703 discriminant: 0.002908769371846768 -0.013398123665888008 a: 0.007934525784724731 b: -0.04395375764594628 c: -0.2335237581010362 discriminant: 0.009343533931192551 -0.013398123665888008 a: 0.007796933202187457 b: -0.04877367411196573 c: 0.02276476238537406 discriminant: 0.0016688899596505116 -0.013398123665888008 a: 0.006974433691485055 b: -0.03940416676675143 c: -0.2228130269666998 discriminant: 0.007768667087295235 -0.013398123665888008 a: 0.006983143748826531 b: -0.048678867603898335 c: -0.0122480149654689 discriminant: 0.0027117507477644547 -0.013398123665888008 a: 0.007542864087127869 b: -0.04360707645012027 c: -0.2451092452446021 discriminant: 0.00929688001004074 -0.013398123665888008 a: 0.02444839175536971 b: -0.1816254507933956 c: -0.023253859216437522 discriminant: 0.03526188221569488 -0.013398123665888008 a: 0.024416137142115497 b: -0.16182879051244314 c: -0.2084982706359616 discriminant: 0.04655144691768641 -0.013398123665888008 a: 0.0261832568386221 b: -0.1769512105226534 c: -0.012570887342643222 discriminant: 0.03262831799335964 -0.013398123665888008 a: 0.027704835431358828 b: -0.167011965230436 c: -0.23936654999469054 discriminant: 0.05441944003163246 -0.013398123665888008 a: 0.012491511910259332 b: -0.09927792763479812 c: 0.06999662930259076 discriminant: 0.006358652001014933 -0.013398123665888008 a: 0.012225025163258733 b: -0.08378268546735301 c: -0.09365335512376471 discriminant: 0.011599196876167926 -0.013398123665888008 a: 0.010157291578837602 b: -0.08441307348573457 c: 0.002936437318463936 discriminant: 0.007006261975121552 -0.013398123665888008 a: 0.009599204716148422 b: -0.06700122926196558 c: -0.1567092622975571 discriminant: 0.010506301881457875 -0.013398123665888008 a: 0.012519163786472436 b: -0.08908170810357166 c: -0.02403700138992737 discriminant: 0.00913924334799461 -0.013398123665888008 a: 0.01298304656331054 b: -0.07888722639657303 c: -0.23398418793873954 discriminant: 0.01837450491689241 -0.013398123665888008 a: 0.013252346557443243 b: -0.09129059019971902 c: -0.010198229164232853 discriminant: 0.00887457372763959 -0.013398123665888008 a: 0.013409315678981381 b: -0.08144525370882533 c: -0.25063897295130777 discriminant: 0.02007691779073397 -0.013398123665888008 a: 0.0073122635334594115 b: -0.059774488693495054 c: -0.05258682959076433 discriminant: 0.005111104523995929 -0.013398123665888008 a: 0.007244322590742581 b: -0.04793087112798197 c: -0.22705885652550906 discriminant: 0.008876918822110912 -0.013398123665888008 a: 0.01023722778904099 b: -0.0700814107821868 c: -0.019395220471831176 discriminant: 0.005705617297176835 -0.013398123665888008 a: 0.00968609255702496 b: -0.05804189718439026 c: -0.27068790645614327 discriminant: 0.013856494292769403 -0.013398123665888008 a: 0.01617705057344911 b: -0.11014341104464687 c: -0.0017845296920872 discriminant: 0.012247044704864901 -0.013398123665888008 a: 0.016231463885176885 b: -0.10007091937267887 c: -0.24339453766037533 discriminant: 0.025816787495628025 -0.013398123665888008 a: 0.02011548843033615 b: -0.1375823049150076 c: -0.018587792810478843 discriminant: 0.020424500750624817 -0.013398123665888008 a: 0.020502718038870382 b: -0.12549426844519435 c: -0.2540524326902992 discriminant: 0.03658387299074771 -0.013398123665888008 a: 0.025075984591963408 b: -0.18628993074415956 c: -0.011493566351765794 discriminant: 0.03585678826763812 -0.013398123665888008 a: 0.024965070550009853 b: -0.16574010496093444 c: -0.19923443410644948 discriminant: 0.047365389206296765 -0.013398123665888008 a: 0.001143709427882618 b: -0.007160159032831376 c: -0.031302345418551925 discriminant: 0.00019447102765558116 -0.013398123665888008 a: 0.0012618770453877645 b: -0.0007359091286875397 c: -0.28619059553599635 discriminant: 0.001445090934696597 -0.013398123665888008 a: 0.014571693327218565 b: -0.1176765682918901 c: -0.013101367086764015 discriminant: 0.014611411138378435 -0.013398123665888008 a: 0.014086144413241646 b: -0.09760559235794375 c: -0.16830937170123172 discriminant: 0.019010172123087154 -0.013398123665888008 a: 0.00807035914252269 b: -0.057739225696069124 c: -0.01482589708403459 discriminant: 0.003812419440294565 -0.013398123665888008 a: 0.008460324583731926 b: -0.0495552341698095 c: -0.2266317139706696 discriminant: 0.010125232678262088 -0.013398123665888008 a: 0.01674727207294953 b: -0.11081369351473164 c: -0.007946849234692688 discriminant: 0.012812026855401313 -0.013398123665888008 a: 0.015599869117267053 b: -0.09478039993567766 c: -0.2590902194914798 discriminant: 0.025150418266491316 -0.013398123665888008 a: 0.014219237703329703 b: -0.11168909922598086 c: -0.01148231843717229 discriminant: 0.01312753414688491 -0.013398123665888008 a: 0.013808744944678951 b: -0.09364290215878174 c: -0.1815957207081632 discriminant: 0.01879942908593589 -0.013398123665888008 a: 0.01502998337638237 b: -0.10959277604654022 c: -0.04575133993630354 discriminant: 0.014761144076346563 -0.013398123665888008 a: 0.013864847376215506 b: -0.08763305094927687 c: -0.2685516893153167 discriminant: 0.022573264358605398 -0.013398123665888008 a: 0.03817405808585386 b: -0.28103958718045124 c: -0.022098614465343114 discriminant: 0.08235762473142605 -0.013398123665888008 a: 0.03721847921697738 b: -0.24486737596051023 c: -0.21117394319870042 discriminant: 0.09139832387421784 -0.013398123665888008 a: 0.014454514251702797 b: -0.09872757511470187 c: 0.0034983567946814675 discriminant: 0.009544865895444043 -0.013398123665888008 a: 0.014484477833476938 b: -0.08876441829931483 c: -0.2391776157211526 discriminant: 0.02173657344872334 -0.013398123665888008 a: 0.0353384751371999 b: -0.2367576775088962 c: -0.02964037650695861 discriminant: 0.0602439806924001 -0.013398123665888008 a: 0.03416495453651339 b: -0.19888474096938075 c: -0.29076008943727316 discriminant: 0.07929036113708568 -0.013398123665888008 a: 0.034480578277953894 b: -0.22970343420229983 c: 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0.0009039812857845491 -0.013398123665888008 a: 0.002706547030196089 b: -0.022743810273786275 c: -0.17740646476314492 discriminant: 0.002437916667139094 -0.013398123665888008 a: -0.0004163319964114575 b: -0.007158573301065577 c: -0.030390832605024287 discriminant: 6.344676625042025e-07 -0.013398123665888008 a: -5.228898664039975e-05 b: -0.003822393803740526 c: -0.16239793905529576 discriminant: -1.9355800271889284e-05 -0.013398123665888008 a: 0.004318088151548824 b: -0.03930698876755698 c: -0.029373345938329076 discriminant: 0.0020523861542434247 -0.013398123665888008 a: 0.005025785302261114 b: -0.037574184319230375 c: -0.1772571849608765 discriminant: 0.00497524554684171 -0.013398123665888008 a: 0.0008976312650327868 b: -0.01464023200945963 c: -0.03206711927370176 discriminant: 0.00032947418864924706 -0.013398123665888008 a: 0.0015712275636166912 b: -0.014187956547250247 c: -0.17520044008320956 discriminant: 0.001302417153452715 -0.013398123665888008 a: 0.011570416388521994 b: -0.09421815475294626 c: -0.03494204238543219 discriminant: 0.010494236604509469 -0.013398123665888008 a: 0.011964189772709629 b: -0.08677762981568563 c: -0.1709260365075057 discriminant: 0.01571032318791974 -0.013398123665888008 a: -0.004217379958058443 b: 0.02386717075656483 c: -0.04566612465607378 discriminant: -0.0002007237556238728 tmp pre lnfer irrigation1 y_temp_base2015 \ 0 25.099590 6.254395 2.457656 0.377088 7.871762 1 26.784940 6.208599 2.457656 0.377088 7.871762 2 26.261318 9.274925 1.292553 0.738441 7.599898 3 27.808318 8.926058 1.292553 0.738441 7.599898 4 25.408514 6.727813 2.114730 0.028216 7.821125 ... ... ... ... ... ... 1993 23.349492 7.419639 1.187985 0.008524 7.928655 1994 25.061998 7.586472 1.187985 0.008524 7.928655 1995 23.207888 7.236578 2.482080 0.010662 8.111622 1996 24.859328 7.207139 2.482080 0.010662 8.111622 1997 23.294406 5.721528 0.935788 0.000171 7.820683 y_temp_base_t geoid scenario lnyield_obs har \ 0 7.846458 1001 1.5 7.509678 779.625 1 7.622792 1001 3.0 7.509678 779.625 2 7.590898 1003 1.5 7.927428 6358.433 3 7.351790 1003 3.0 7.927428 6358.433 4 7.807509 1005 1.5 8.161582 526.500 ... ... ... ... ... ... 1993 7.896463 51800 1.5 7.798817 7968.552 1994 7.753334 51800 3.0 7.798817 7968.552 1995 8.075677 51810 1.5 7.872881 4972.955 1996 7.939772 51810 3.0 7.872881 4972.955 1997 7.775021 54037 3.0 7.900531 3976.619 irri_need 0 [7.025909919398073] 1 [8.861003068216714] 2 [0.507996174152075] 3 [9.143696454977805] 4 [7.214038856954462] ... ... 1993 [18.265660500440294] 1994 [15.99926541089394] 1995 [8.498377649446617] 1996 [8.864723058641308] 1997 NaN [1998 rows x 11 columns] results_irri tmp pre lnfer irrigation1 y_temp_base2015 \ 0 25.099590 6.254395 2.457656 0.377088 7.871762 1 26.784940 6.208599 2.457656 0.377088 7.871762 2 26.261318 9.274925 1.292553 0.738441 7.599898 3 27.808318 8.926058 1.292553 0.738441 7.599898 4 25.408514 6.727813 2.114730 0.028216 7.821125 ... ... ... ... ... ... 1993 23.349492 7.419639 1.187985 0.008524 7.928655 1994 25.061998 7.586472 1.187985 0.008524 7.928655 1995 23.207888 7.236578 2.482080 0.010662 8.111622 1996 24.859328 7.207139 2.482080 0.010662 8.111622 1997 23.294406 5.721528 0.935788 0.000171 7.820683 y_temp_base_t geoid scenario lnyield_obs har irri_need 0 7.846458 1001 1.5 7.509678 779.625 7.025 1 7.622792 1001 3.0 7.509678 779.625 8.861 2 7.590898 1003 1.5 7.927428 6358.433 0.507 3 7.351790 1003 3.0 7.927428 6358.433 9.143 4 7.807509 1005 1.5 8.161582 526.500 7.214 ... ... ... ... ... ... ... 1993 7.896463 51800 1.5 7.798817 7968.552 18.265 1994 7.753334 51800 3.0 7.798817 7968.552 15.999 1995 8.075677 51810 1.5 7.872881 4972.955 8.498 1996 7.939772 51810 3.0 7.872881 4972.955 8.864 1997 7.775021 54037 3.0 7.900531 3976.619 NaN [1998 rows x 11 columns] 0.0 11193.128 19.681586551264978 0.2274 19.034250000000004 0.8374538099999997 0.0 0.8374538099999997 0.7816953786551261
ds1=results_irri[results_irri['scenario']==1.5]
print(np.sum(~np.isnan(ds1['scenario'])))
print(np.sum(np.isnan(ds1['irri_need'])))
ds2=results_irri[results_irri['scenario']==3]
print(np.sum(~np.isnan(ds2['scenario'])))
print(np.sum(np.isnan(ds2['irri_need'])))
ds1=results_irri[(results_irri['scenario']==1.5)&(np.isnan(results_irri['irri_need']))]
ds1['production']=(np.exp(ds1['lnyield_obs']))*ds1['har']/10000000 #10 4 tonnes
print(np.sum(ds1['production']))
ds2=results_irri[(results_irri['scenario']==3)&(np.isnan(results_irri['irri_need']))]
ds2['production']=(np.exp(ds2['lnyield_obs']))*ds2['har']/10000000 #10 4 tonnes
print(np.sum(ds2['production']))
852 183 1146 313 1174.758696805632 2400.8085365818906
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3908623574.py:9: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy ds1['production']=(np.exp(ds1['lnyield_obs']))*ds1['har']/10000000 #10 4 tonnes /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3908623574.py:12: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy ds2['production']=(np.exp(ds2['lnyield_obs']))*ds2['har']/10000000 #10 4 tonnes
results_irri['irri_need_1']=results_irri['irri_need']
results_irri.loc[np.isnan(results_irri['irri_need_1']), 'irri_need_1'] =irri_max
results_irri.loc[(results_irri['irri_need_1']<results_irri['irrigation1']), 'irri_need_1'] = results_irri['irrigation1']
print(reg.params['tmp_tmp_interaction'])
results_irri['y_temp_irri'] = (reg.params['tmp_tmp_interaction'] * results_irri['tmp']**2 +
reg.params['tmp'] * results_irri['tmp'] +
reg.params['pre_pre_interaction'] * results_irri['pre']**2 +
reg.params['pre'] * results_irri['pre'] +
reg.params['lnfer'] * results_irri['lnfer'] +
reg.params['irrigation1'] * results_irri['irri_need_1'] +
reg.params['irrigation12'] * results_irri['irri_need_1']**2 +
reg.params['lnfer_irrigation1_tmp_interaction'] * results_irri['irri_need_1'] * results_irri['tmp'] * results_irri['lnfer'] +
reg.params['lnfer_irrigation12_tmp_tmp_interaction'] * results_irri['irri_need_1']**2 * results_irri['lnfer'] * results_irri['tmp']**2 +
reg.params['lnfer_irrigation1_pre_interaction'] * results_irri['irri_need_1'] * results_irri['pre'] * results_irri['lnfer'] +
reg.params['lnfer_irrigation12_pre_pre_interaction'] * results_irri['irri_need_1']**2 * results_irri['lnfer'] * results_irri['pre']**2 +
reg.params['const'])
# For the county that with solution less the current irrigation, we expext maintaining current level irrigation can offeset the yield loss
results_irri.loc[(results_irri['irri_need_1']<results_irri['irrigation1']), 'y_temp_irri'] = results_irri['y_temp_base2015']
# For the county that without solution due to far over the current level yield, we set their irrigation need to the minimum level
# that means just transforming to irrigated cropland can offset yield loss
results_irri.loc[(results_irri['y_temp_base2015']<results_irri['y_temp_irri']), 'irri_need_1'] = 0.00002
results_irri1=results_irri[['geoid', 'scenario','irri_need','irri_need_1','y_temp_irri']]
print(results_irri1)
print(np.min(results_irri1['irri_need_1']),np.max(results_irri1['irri_need_1']),
np.mean(results_irri1['irri_need_1']))
-0.013398123665888008 geoid scenario irri_need irri_need_1 y_temp_irri 0 1001 1.5 0.837454 0.837454 7.826731 1 1001 3.0 0.837454 0.837454 7.606994 2 1003 1.5 0.507000 0.738441 7.590898 3 1003 3.0 0.837454 0.837454 7.348977 4 1005 1.5 0.837454 0.837454 7.773008 ... ... ... ... ... ... 1993 51800 1.5 0.837454 0.837454 7.884957 1994 51800 3.0 0.837454 0.837454 7.742675 1995 51810 1.5 0.837454 0.837454 8.005891 1996 51810 3.0 0.837454 0.837454 7.876415 1997 54037 3.0 NaN 0.837454 7.792047 [1998 rows x 5 columns] 0.007 4.094071 0.8281153848898896
excel_file = "/Users/chenchenren/postdoc/paper/2N and water-US/Figure 6 sustain and unsustain/mean_sus_unsus15.csv"
mean_sus_unsus15 = pd.read_csv(excel_file)
mean_sus_unsus15['scenario']=1.5
print(mean_sus_unsus15)
excel_file = "/Users/chenchenren/postdoc/paper/2N and water-US/Figure 6 sustain and unsustain/mean_sus_unsus3.csv"
mean_sus_unsus3 = pd.read_csv(excel_file)
mean_sus_unsus3['scenario']=3
print(mean_sus_unsus3)
sus_irri=pd.concat([mean_sus_unsus15, mean_sus_unsus3])
sus_irri.rename(columns={ 'GEOID':'geoid'}, inplace=True)
print(sus_irri)
ds=yield_loss.merge(sus_irri, left_on=['geoid', 'scenario'],
right_on=['geoid', 'scenario'], how='left')
ds = ds.sort_values(by='sus_unsus')
ds['sus_unsus'] = ds['sus_unsus'].fillna(1) # unsustainbale irrigation is 1
print(ds)
GEOID sus_unsus scenario 0 1001 0 1.5 1 1003 0 1.5 2 1005 0 1.5 3 1007 0 1.5 4 1009 0 1.5 ... ... ... ... 1992 56037 1 1.5 1993 56039 0 1.5 1994 56041 1 1.5 1995 56043 1 1.5 1996 56045 1 1.5 [1997 rows x 3 columns] GEOID sus_unsus scenario 0 1001 0.0 3 1 28031 0.0 3 2 28037 0.0 3 3 28041 0.0 3 4 28045 0.0 3 ... ... ... ... 1992 29121 1.0 3 1993 29115 1.0 3 1994 29107 1.0 3 1995 29145 1.0 3 1996 56045 1.0 3 [1997 rows x 3 columns] geoid sus_unsus scenario 0 1001 0.0 1.5 1 1003 0.0 1.5 2 1005 0.0 1.5 3 1007 0.0 1.5 4 1009 0.0 1.5 ... ... ... ... 1992 29121 1.0 3.0 1993 29115 1.0 3.0 1994 29107 1.0 3.0 1995 29145 1.0 3.0 1996 56045 1.0 3.0 [3994 rows x 3 columns] geoid scenario tmp pre lnfer irrigation1 \ 0 1001 1.5 25.099590 6.254395 2.457656 0.377088 1122 28155 1.5 24.597372 6.798732 2.709249 0.000000 1123 28155 3.0 26.340148 6.540652 2.709249 0.000000 1136 29009 1.5 23.353156 6.747682 4.209049 0.000000 1137 29009 3.0 25.124780 6.431704 4.209049 0.000000 ... ... ... ... ... ... ... 1993 51800 1.5 23.349492 7.419639 1.187985 0.008524 1994 51800 3.0 25.061998 7.586472 1.187985 0.008524 1995 51810 1.5 23.207888 7.236578 2.482080 0.010662 1996 51810 3.0 24.859328 7.207139 2.482080 0.010662 1997 54037 3.0 23.294406 5.721528 0.935788 0.000171 y_temp_base_t y_temp_base2015 lnyield_obs har \ 0 7.846458 7.871762 7.509678 779.625 1122 8.217792 8.257644 7.753458 1499.437 1123 8.080269 8.257644 7.753458 1499.437 1136 8.562132 8.606349 7.585869 1176.583 1137 8.478483 8.606349 7.585869 1176.583 ... ... ... ... ... 1993 7.896463 7.928655 7.798817 7968.552 1994 7.753334 7.928655 7.798817 7968.552 1995 8.075677 8.111622 7.872881 4972.955 1996 7.939772 8.111622 7.872881 4972.955 1997 7.775021 7.820683 7.900531 3976.619 gap_yield_warming gap_production_warming group id sus_unsus 0 -0.045616 -0.003556 1 1 0.0 1122 -0.091012 -0.013647 2 1123 0.0 1123 -0.378641 -0.056775 2 1124 0.0 1136 -0.085216 -0.010026 2 1137 0.0 1137 -0.236475 -0.027823 2 1138 0.0 ... ... ... ... ... ... 1993 -0.077225 -0.061537 1 1994 1.0 1994 -0.392016 -0.312380 1 1995 1.0 1995 -0.092685 -0.046092 1 1996 1.0 1996 -0.414491 -0.206125 1 1997 1.0 1997 -0.120458 -0.047901 1 1998 1.0 [1998 rows x 15 columns]
# Load data from an Excel file
excel_file = "scenario_management.xlsx"
sheet_name = "soybean"
data = pd.read_excel(excel_file, sheet_name=sheet_name)
# Create interaction terms
data['tmp_tmp_interaction'] = data['tmp'] ** 2
data['pre_pre_interaction'] = data['pre'] ** 2
data['irrigation12'] = data['irrigation1'] ** 2
data['lnfer_irrigation1_tmp_interaction'] = data['lnfer'] * data['irrigation1'] * data['tmp']
data['lnfer_irrigation12_tmp_tmp_interaction'] = data['lnfer'] * data['irrigation12'] * data['tmp'] ** 2
data['lnfer_irrigation1_pre_interaction'] = data['lnfer'] * data['irrigation1'] * data['pre']
data['lnfer_irrigation12_pre_pre_interaction'] = data['lnfer'] * data['irrigation12'] * data['pre'] ** 2
data['lnfer_tmp_interaction'] = data['lnfer'] * data['tmp']
data['lnfer_tmp_tmp_interaction'] = data['lnfer'] * data['tmp'] ** 2
data['lnfer_pre_interaction'] = data['lnfer'] * data['pre']
data['lnfer_pre_pre_interaction'] = data['lnfer'] * data['pre'] ** 2
# Define predictor variables and response variable
predictor_variables1 = ['lnfer', 'tmp', 'irrigation1', 'irrigation12', 'tmp_tmp_interaction',
'pre', 'pre_pre_interaction', 'lnfer_irrigation1_pre_interaction', 'lnfer_irrigation12_pre_pre_interaction',
'lnfer_irrigation1_tmp_interaction', 'lnfer_irrigation12_tmp_tmp_interaction']
predictor_variables2 = ['lnfer', 'tmp', 'tmp_tmp_interaction', 'irrigation1', 'irrigation12', 'pre', 'pre_pre_interaction',
'lnfer_tmp_interaction', 'lnfer_tmp_tmp_interaction',
'lnfer_pre_interaction', 'lnfer_pre_pre_interaction']
response_variable = 'lnyield'
# Function to perform regression analysis
def perform_regression(group_data, predictor_variables):
X = sm.add_constant(group_data[predictor_variables])
y = group_data[response_variable]
return sm.OLS(y, X).fit()
# Perform regression for group 1 data
group1_data = data[(data['group'] == 1) & (data['sample'] == 0)].copy()
reg = perform_regression(group1_data, predictor_variables1)
print(np.percentile(group1_data['lnfer'], 5))
print(np.percentile(group1_data['lnfer'], 95))
print(np.percentile(group1_data['irrigation1'], 5))
print(np.percentile(group1_data['irrigation1'], 95))
0.08624334000000018 4.112335099999999 2.388000000000001e-05 0.8374538099999997
# for unsustainable irrigation we first select the minimum irrigation requirement
results_df1=ds[ds['sus_unsus']==1]
print(results_df1)
#for irrigated croplands, setting the minium irrigation intensity
results_df1_1=results_df1[results_df1['group']==1]
irrigation1_values=2.388000000000001e-05
results_df1_1['irrigation1_values']=2.388000000000001e-05
results_df1_1['lnfer_values'] = (
(results_df1_1['y_temp_base2015']-reg.params['tmp_tmp_interaction'] * results_df1_1['tmp']**2 -
reg.params['tmp'] * results_df1_1['tmp'] -reg.params['pre_pre_interaction'] * results_df1_1['pre']**2
-reg.params['pre'] * results_df1_1['pre'] -reg.params['irrigation1'] * irrigation1_values -
reg.params['irrigation12'] * irrigation1_values**2 -reg.params['const'])
/ (reg.params['lnfer']+reg.params['lnfer_irrigation1_tmp_interaction'] * irrigation1_values
* results_df1_1['tmp'] +reg.params['lnfer_irrigation12_tmp_tmp_interaction'] *
irrigation1_values**2 * results_df1_1['tmp']**2 +
reg.params['lnfer_irrigation1_pre_interaction'] * irrigation1_values * results_df1_1['pre'] +
reg.params['lnfer_irrigation12_pre_pre_interaction'] * irrigation1_values**2 * results_df1_1['pre']**2)
)
print(results_df1_1)
results_df1_1['gap_irrigation']=((results_df1_1['irrigation1_values'])-(results_df1_1['irrigation1']))
results_df1_1['gap_fer']=(np.exp(results_df1_1['lnfer_values'])-np.exp(results_df1_1['lnfer'])) #kg/ha
#for rainfed croplands, no addtional irrigation
results_df1_2=results_df1[results_df1['group']==2]
results_lnfer1=results_lnfer[['geoid','scenario','lnfer_need']]
print(results_lnfer1)
results_df1_2 = results_df1_2.merge(results_lnfer1, left_on=['geoid', 'scenario'],
right_on=['geoid', 'scenario'], how='left')
results_df1_2['irrigation1_values']=0
results_df1_2['gap_irrigation']=0
results_df1_2.rename(columns={'lnfer_need': 'lnfer_values'}, inplace=True)
results_df1_2['gap_fer']=(np.exp(results_df1_2['lnfer_values'])-np.exp(results_df1_2['lnfer'])) #kg/ha
results_df1 = pd.concat([results_df1_1, results_df1_2])
results_df1['mana_group']=1
print(results_df1)
geoid scenario tmp pre lnfer irrigation1 \ 1558 40017 3.0 27.447118 5.058816 1.371145 0.000000 1551 40011 1.5 25.475696 4.985124 1.356024 0.000000 1552 40011 3.0 27.391148 4.573153 1.356024 0.000000 1550 40003 3.0 27.424982 4.487021 1.373776 0.000000 1549 40003 1.5 25.412738 4.966147 1.373776 0.000000 ... ... ... ... ... ... ... 1993 51800 1.5 23.349492 7.419639 1.187985 0.008524 1994 51800 3.0 25.061998 7.586472 1.187985 0.008524 1995 51810 1.5 23.207888 7.236578 2.482080 0.010662 1996 51810 3.0 24.859328 7.207139 2.482080 0.010662 1997 54037 3.0 23.294406 5.721528 0.935788 0.000171 y_temp_base_t y_temp_base2015 lnyield_obs har \ 1558 7.613589 7.929552 7.234388 1045.652 1551 7.785913 7.896766 8.022673 1057.050 1552 7.581114 7.896766 8.022673 1057.050 1550 7.573723 7.892049 7.510295 5361.924 1549 7.792547 7.892049 7.510295 5361.924 ... ... ... ... ... 1993 7.896463 7.928655 7.798817 7968.552 1994 7.753334 7.928655 7.798817 7968.552 1995 8.075677 8.111622 7.872881 4972.955 1996 7.939772 8.111622 7.872881 4972.955 1997 7.775021 7.820683 7.900531 3976.619 gap_yield_warming gap_production_warming group id sus_unsus 1558 -0.375566 -0.039271 2 1559 1.0 1551 -0.319964 -0.033822 2 1552 1.0 1552 -0.825409 -0.087250 2 1553 1.0 1550 -0.498036 -0.267043 2 1551 1.0 1549 -0.173015 -0.092769 2 1550 1.0 ... ... ... ... ... ... 1993 -0.077225 -0.061537 1 1994 1.0 1994 -0.392016 -0.312380 1 1995 1.0 1995 -0.092685 -0.046092 1 1996 1.0 1996 -0.414491 -0.206125 1 1997 1.0 1997 -0.120458 -0.047901 1 1998 1.0 [1411 rows x 15 columns] geoid scenario tmp pre lnfer irrigation1 \ 1544 39017 3.0 22.760628 5.757780 2.038479 0.001818 205 13043 3.0 27.027358 6.635976 2.035268 0.126456 1525 37177 3.0 25.319158 7.937325 1.236794 0.000507 349 17065 3.0 24.492824 5.942823 0.295453 0.000797 350 17067 1.5 21.297634 6.267068 -0.046396 0.001389 ... ... ... ... ... ... ... 1993 51800 1.5 23.349492 7.419639 1.187985 0.008524 1994 51800 3.0 25.061998 7.586472 1.187985 0.008524 1995 51810 1.5 23.207888 7.236578 2.482080 0.010662 1996 51810 3.0 24.859328 7.207139 2.482080 0.010662 1997 54037 3.0 23.294406 5.721528 0.935788 0.000171 y_temp_base_t y_temp_base2015 lnyield_obs har \ 1544 7.958094 7.979504 7.994525 14757.740 205 7.561807 7.761395 7.499042 1336.500 1525 7.738559 7.905103 7.918210 12818.760 349 7.610054 7.711970 7.946740 37450.040 350 7.748190 7.763110 8.213926 58447.890 ... ... ... ... ... 1993 7.896463 7.928655 7.798817 7968.552 1994 7.753334 7.928655 7.798817 7968.552 1995 8.075677 8.111622 7.872881 4972.955 1996 7.939772 8.111622 7.872881 4972.955 1997 7.775021 7.820683 7.900531 3976.619 gap_yield_warming gap_production_warming group id sus_unsus \ 1544 -0.062799 -0.092677 1 1545 1.0 205 -0.326819 -0.043679 1 206 1.0 1525 -0.421407 -0.540191 1 1526 1.0 349 -0.273858 -1.025599 1 350 1.0 350 -0.054676 -0.319568 1 351 1.0 ... ... ... ... ... ... 1993 -0.077225 -0.061537 1 1994 1.0 1994 -0.392016 -0.312380 1 1995 1.0 1995 -0.092685 -0.046092 1 1996 1.0 1996 -0.414491 -0.206125 1 1997 1.0 1997 -0.120458 -0.047901 1 1998 1.0 irrigation1_values lnfer_values 1544 0.000024 2.194328 205 0.000024 3.458172 1525 0.000024 2.451664 349 0.000024 1.039221 350 0.000024 0.063104 ... ... ... 1993 0.000024 1.421919 1994 0.000024 2.466086 1995 0.000024 2.737001 1996 0.000024 3.729010 1997 0.000024 1.268919 [994 rows x 17 columns] geoid scenario lnfer_need 0 1001 1.5 2.667937 1 1001 3.0 4.505245 2 1003 1.5 1.404700 3 1003 3.0 4.202620 4 1005 1.5 2.215152 ... ... ... ... 1993 51103 1.5 3.877447 1994 51103 3.0 3.975355 1995 51141 1.5 3.812177 1996 51159 1.5 1.464794 1997 51159 3.0 1.812194 [1998 rows x 3 columns] geoid scenario tmp pre lnfer irrigation1 \ 1544 39017 3.0 22.760628 5.757780 2.038479 0.001818 205 13043 3.0 27.027358 6.635976 2.035268 0.126456 1525 37177 3.0 25.319158 7.937325 1.236794 0.000507 349 17065 3.0 24.492824 5.942823 0.295453 0.000797 350 17067 1.5 21.297634 6.267068 -0.046396 0.001389 ... ... ... ... ... ... ... 412 51103 1.5 22.617856 6.753251 3.697080 0.000000 413 51103 3.0 24.369986 6.937165 3.697080 0.000000 414 51141 1.5 20.956338 7.018248 3.798184 0.000000 415 51159 1.5 22.735782 6.657891 1.348576 0.000000 416 51159 3.0 24.547064 6.747815 1.348576 0.000000 y_temp_base_t y_temp_base2015 lnyield_obs har \ 1544 7.958094 7.979504 7.994525 14757.740 205 7.561807 7.761395 7.499042 1336.500 1525 7.738559 7.905103 7.918210 12818.760 349 7.610054 7.711970 7.946740 37450.040 350 7.748190 7.763110 8.213926 58447.890 ... ... ... ... ... 412 8.465001 8.499517 8.077533 2916.000 413 8.441412 8.499517 8.077533 2916.000 414 8.455265 8.457635 7.902284 243.000 415 8.009433 8.031712 7.841456 5668.211 416 7.935400 8.031712 7.841456 5668.211 gap_yield_warming gap_production_warming group id sus_unsus \ 1544 -0.062799 -0.092677 1 1545 1.0 205 -0.326819 -0.043679 1 206 1.0 1525 -0.421407 -0.540191 1 1526 1.0 349 -0.273858 -1.025599 1 350 1.0 350 -0.054676 -0.319568 1 351 1.0 ... ... ... ... ... ... 412 -0.109290 -0.031869 2 1941 1.0 413 -0.181838 -0.053024 2 1942 1.0 414 -0.006400 -0.000156 2 1966 1.0 415 -0.056049 -0.031770 2 1976 1.0 416 -0.233580 -0.132398 2 1977 1.0 irrigation1_values lnfer_values gap_irrigation gap_fer mana_group 1544 0.000024 2.194328 -0.001794 1.295049 1 205 0.000024 3.458172 -0.126432 24.104553 1 1525 0.000024 2.451664 -0.000484 8.163098 1 349 0.000024 1.039221 -0.000773 1.483279 1 350 0.000024 0.063104 -0.001366 0.110474 1 ... ... ... ... ... ... 412 0.000000 3.877447 0.000000 7.971392 1 413 0.000000 3.975355 0.000000 12.939640 1 414 0.000000 3.812177 0.000000 0.628742 1 415 0.000000 1.464794 0.000000 0.474716 1 416 0.000000 1.812194 0.000000 2.271934 1 [1411 rows x 20 columns]
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/1835122829.py:8: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy results_df1_1['irrigation1_values']=2.388000000000001e-05 /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/1835122829.py:9: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy results_df1_1['lnfer_values'] = ( /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/1835122829.py:21: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy results_df1_1['gap_irrigation']=((results_df1_1['irrigation1_values'])-(results_df1_1['irrigation1'])) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/1835122829.py:22: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy results_df1_1['gap_fer']=(np.exp(results_df1_1['lnfer_values'])-np.exp(results_df1_1['lnfer'])) #kg/ha
print(np.min(results_df1['gap_irrigation']),np.max(results_df1['gap_irrigation']),
np.mean(results_df1['gap_irrigation']),np.sum(np.isnan(results_df1['gap_irrigation'])))
print(np.min(results_df1['gap_fer']),np.max(results_df1['gap_fer']),
np.mean(results_df1['gap_fer']),np.sum(np.isnan(results_df1['gap_fer'])))
-4.09404712 2.387998780000001e-05 -0.131691245861224 0 -276.9264724031997 3502.810511239282 31.829417581299115 0
# for sustainable irrigation we first select the minimum N requirement
results_df0 = ds[ds['sus_unsus'] == 0]
print(results_df0)
# Define ranges and step sizes for variables
lnfer_range = np.linspace(0.086, 4.112, 100) # Determined by the 5th and 95th percentiles of current input.
irrigation1_range = np.linspace(2.388000000000001e-05, 0.837, 100) # Determined by the 5th and 95th percentiles of current input.
# Create a list to store data rows
data_rows = []
data = results_df0.copy()
for scenario in data['scenario'].unique():
for lnfer_value in lnfer_range:
for irrigation1_value in irrigation1_range:
print(reg.params['tmp_tmp_interaction'])
# Calculate y_temp based on the equation for this group
tmp_values = data['tmp'].values
pre_values = data['pre'].values
lnfer = data['lnfer'].values
irrigation1 = data['irrigation1'].values
lnfer_values = lnfer_value * np.ones(len(tmp_values))
irrigation1_values = irrigation1_value * np.ones(len(tmp_values))
y_temp = (
reg.params['tmp_tmp_interaction'] * tmp_values**2 +
reg.params['tmp'] * tmp_values +
reg.params['pre_pre_interaction'] * pre_values**2 +
reg.params['pre'] * pre_values +
reg.params['lnfer'] * lnfer_values +
reg.params['irrigation1'] * irrigation1_values +
reg.params['irrigation12'] * irrigation1_values**2 +
reg.params['lnfer_irrigation1_tmp_interaction'] * irrigation1_values * tmp_values * lnfer_values +
reg.params['lnfer_irrigation12_tmp_tmp_interaction'] * irrigation1_values**2 * lnfer_values * tmp_values**2 +
reg.params['lnfer_irrigation1_pre_interaction'] * irrigation1_values * pre_values * lnfer_values +
reg.params['lnfer_irrigation12_pre_pre_interaction'] * irrigation1_values**2 * lnfer_values * pre_values**2 +
reg.params['const']
)
# Append data to the list
data_rows.extend(zip(lnfer_values, irrigation1_values, tmp_values, pre_values,
data['lnfer'].values, data['irrigation1'].values,
y_temp, data['geoid'].values, data['y_temp_base2015'].values,
data['y_temp_base_t'].values,data['lnyield_obs'].values, data['scenario'].values,
data['har'].values))
# Create a DataFrame from the data
results_df = pd.DataFrame(data_rows, columns=['lnfer_values', 'irrigation1_values', 'tmp', 'pre', 'lnfer',
'irrigation1', 'y_temp','geoid','y_temp_base2015', 'y_temp_base_t',
'lnyield_obs','scenario', 'har'])
# Drop duplicate rows based on specific columns
results_df = results_df.drop_duplicates(subset=['lnfer_values', 'irrigation1_values','geoid', 'scenario'])
# Print the updated DataFrame
print(results_df)
# Drop duplicate rows based on specific columns
df = results_df.drop_duplicates(subset=['lnfer_values', 'irrigation1_values', 'geoid', 'scenario'])
# Print the updated DataFrame
df['dif_lny_less'] = (df['y_temp'] - df['y_temp_base2015'])
df['gap_irrigation'] = (df['irrigation1_values'] - df['irrigation1'])
df['gap_fer'] = (np.exp(df['lnfer_values']) - np.exp(df['lnfer'])) # kg/ha
print(df)
geoid scenario tmp pre lnfer irrigation1 \ 0 1001 1.5 25.099590 6.254395 2.457656 0.377088 1122 28155 1.5 24.597372 6.798732 2.709249 0.000000 1123 28155 3.0 26.340148 6.540652 2.709249 0.000000 1136 29009 1.5 23.353156 6.747682 4.209049 0.000000 1137 29009 3.0 25.124780 6.431704 4.209049 0.000000 ... ... ... ... ... ... ... 320 17027 3.0 24.524190 5.967095 0.424643 0.008192 390 17123 1.5 20.623212 5.795630 0.151525 0.002031 391 17123 3.0 22.540752 5.574082 0.151525 0.002031 334 17049 1.5 22.205882 5.712175 0.019746 0.000821 319 17027 1.5 22.761176 5.630632 0.424643 0.008192 y_temp_base_t y_temp_base2015 lnyield_obs har \ 0 7.846458 7.871762 7.509678 779.625 1122 8.217792 8.257644 7.753458 1499.437 1123 8.080269 8.257644 7.753458 1499.437 1136 8.562132 8.606349 7.585869 1176.583 1137 8.478483 8.606349 7.585869 1176.583 ... ... ... ... ... 320 7.626825 7.752478 8.027052 41975.030 390 7.742939 7.753060 8.232135 29476.430 391 7.695141 7.753060 8.232135 29476.430 334 7.700286 7.719907 8.142404 39724.610 319 7.727484 7.752478 8.027052 41975.030 gap_yield_warming gap_production_warming group id sus_unsus 0 -0.045616 -0.003556 1 1 0.0 1122 -0.091012 -0.013647 2 1123 0.0 1123 -0.378641 -0.056775 2 1124 0.0 1136 -0.085216 -0.010026 2 1137 0.0 1137 -0.236475 -0.027823 2 1138 0.0 ... ... ... ... ... ... 320 -0.361641 -1.517989 1 321 0.0 390 -0.037861 -0.111601 1 391 0.0 391 -0.211579 -0.623660 1 392 0.0 334 -0.066785 -0.265300 1 335 0.0 319 -0.075598 -0.317324 1 320 0.0 [587 rows x 15 columns] -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 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-0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 -0.013398123665888008 lnfer_values irrigation1_values tmp pre lnfer \ 0 0.086 0.000024 25.099590 6.254395 2.457656 1 0.086 0.000024 24.597372 6.798732 2.709249 2 0.086 0.000024 26.340148 6.540652 2.709249 3 0.086 0.000024 23.353156 6.747682 4.209049 4 0.086 0.000024 25.124780 6.431704 4.209049 ... ... ... ... ... ... 5869995 4.112 0.837000 24.524190 5.967095 0.424643 5869996 4.112 0.837000 20.623212 5.795630 0.151525 5869997 4.112 0.837000 22.540752 5.574082 0.151525 5869998 4.112 0.837000 22.205882 5.712175 0.019746 5869999 4.112 0.837000 22.761176 5.630632 0.424643 irrigation1 y_temp geoid y_temp_base2015 y_temp_base_t \ 0 0.377088 7.539891 1001 7.871762 7.846458 1 0.000000 7.621532 28155 8.257644 8.217792 2 0.000000 7.399058 28155 8.257644 8.080269 3 0.000000 7.718807 29009 8.606349 8.562132 4 0.000000 7.547638 29009 8.606349 8.478483 ... ... ... ... ... ... 5869995 0.008192 8.045621 17027 7.752478 7.626825 5869996 0.002031 8.184346 17123 7.753060 7.742939 5869997 0.002031 8.157101 17123 7.753060 7.695141 5869998 0.000821 8.172492 17049 7.719907 7.700286 5869999 0.008192 8.150574 17027 7.752478 7.727484 lnyield_obs scenario har 0 7.509678 1.5 779.625 1 7.753458 1.5 1499.437 2 7.753458 3.0 1499.437 3 7.585869 1.5 1176.583 4 7.585869 3.0 1176.583 ... ... ... ... 5869995 8.027052 3.0 41975.030 5869996 8.232135 1.5 29476.430 5869997 8.232135 3.0 29476.430 5869998 8.142404 1.5 39724.610 5869999 8.027052 1.5 41975.030 [5870000 rows x 13 columns] lnfer_values irrigation1_values tmp pre lnfer \ 0 0.086 0.000024 25.099590 6.254395 2.457656 1 0.086 0.000024 24.597372 6.798732 2.709249 2 0.086 0.000024 26.340148 6.540652 2.709249 3 0.086 0.000024 23.353156 6.747682 4.209049 4 0.086 0.000024 25.124780 6.431704 4.209049 ... ... ... ... ... ... 5869995 4.112 0.837000 24.524190 5.967095 0.424643 5869996 4.112 0.837000 20.623212 5.795630 0.151525 5869997 4.112 0.837000 22.540752 5.574082 0.151525 5869998 4.112 0.837000 22.205882 5.712175 0.019746 5869999 4.112 0.837000 22.761176 5.630632 0.424643 irrigation1 y_temp geoid y_temp_base2015 y_temp_base_t \ 0 0.377088 7.539891 1001 7.871762 7.846458 1 0.000000 7.621532 28155 8.257644 8.217792 2 0.000000 7.399058 28155 8.257644 8.080269 3 0.000000 7.718807 29009 8.606349 8.562132 4 0.000000 7.547638 29009 8.606349 8.478483 ... ... ... ... ... ... 5869995 0.008192 8.045621 17027 7.752478 7.626825 5869996 0.002031 8.184346 17123 7.753060 7.742939 5869997 0.002031 8.157101 17123 7.753060 7.695141 5869998 0.000821 8.172492 17049 7.719907 7.700286 5869999 0.008192 8.150574 17027 7.752478 7.727484 lnyield_obs scenario har dif_lny_less gap_irrigation \ 0 7.509678 1.5 779.625 -0.331871 -0.377064 1 7.753458 1.5 1499.437 -0.636111 0.000024 2 7.753458 3.0 1499.437 -0.858585 0.000024 3 7.585869 1.5 1176.583 -0.887541 0.000024 4 7.585869 3.0 1176.583 -1.058711 0.000024 ... ... ... ... ... ... 5869995 8.027052 3.0 41975.030 0.293143 0.828808 5869996 8.232135 1.5 29476.430 0.431286 0.834969 5869997 8.232135 3.0 29476.430 0.404042 0.834969 5869998 8.142404 1.5 39724.610 0.452584 0.836179 5869999 8.027052 1.5 41975.030 0.398097 0.828808 gap_fer 0 -10.587601 1 -13.928186 2 -13.928186 3 -66.202708 4 -66.202708 ... ... 5869995 59.539689 5869996 59.905126 5869997 59.905126 5869998 60.048790 5869999 59.539689 [5870000 rows x 16 columns]
df1=df[df['dif_lny_less']>=0]
print(df1)
df1= df1.sort_values(by=['scenario', 'geoid','gap_fer', 'gap_irrigation'])
df1['min_gap_fer'] = df1.loc[df1.groupby(['scenario', 'geoid'])['gap_fer'].idxmin(), 'gap_fer']
# Filter rows where 'gap_fer' == 'min_gap_fer'
df2 = df1[df1['gap_fer'] == df1['min_gap_fer']]
print(df2)
#Then select min N requirement
df2['min_gap_irrigation'] = df2.loc[df2.groupby(['scenario', 'geoid'])['gap_irrigation'].idxmin(), 'gap_irrigation']
results_df2= df2[df2['gap_irrigation'] == df2['min_gap_irrigation']]
results_df2['mana_group']=2
print(results_df2)
lnfer_values irrigation1_values tmp pre lnfer \ 396 0.086 0.000024 21.719492 5.769740 -0.140132 495 0.086 0.000024 20.601038 5.724906 -0.238950 499 0.086 0.000024 20.747524 5.986479 -0.266186 505 0.086 0.000024 22.257840 5.857302 -0.085569 507 0.086 0.000024 22.378038 5.774409 -0.195562 ... ... ... ... ... ... 5869995 4.112 0.837000 24.524190 5.967095 0.424643 5869996 4.112 0.837000 20.623212 5.795630 0.151525 5869997 4.112 0.837000 22.540752 5.574082 0.151525 5869998 4.112 0.837000 22.205882 5.712175 0.019746 5869999 4.112 0.837000 22.761176 5.630632 0.424643 irrigation1 y_temp geoid y_temp_base2015 y_temp_base_t \ 396 0.001343 7.726423 17149 7.725731 7.695517 495 0.000014 7.728309 17105 7.691298 7.683764 499 0.000087 7.748505 17095 7.701831 7.700232 505 0.000008 7.718389 17079 7.711927 7.694869 507 0.010316 7.707990 17073 7.704149 7.670138 ... ... ... ... ... ... 5869995 0.008192 8.045621 17027 7.752478 7.626825 5869996 0.002031 8.184346 17123 7.753060 7.742939 5869997 0.002031 8.157101 17123 7.753060 7.695141 5869998 0.000821 8.172492 17049 7.719907 7.700286 5869999 0.008192 8.150574 17027 7.752478 7.727484 lnyield_obs scenario har dif_lny_less gap_irrigation \ 396 8.133454 1.5 42870.55 0.000692 -0.001319 495 8.202496 1.5 109809.70 0.037010 0.000010 499 8.278972 1.5 49034.61 0.046674 -0.000063 505 8.088742 1.5 47020.59 0.006462 0.000016 507 8.238276 3.0 65284.08 0.003841 -0.010292 ... ... ... ... ... ... 5869995 8.027052 3.0 41975.03 0.293143 0.828808 5869996 8.232135 1.5 29476.43 0.431286 0.834969 5869997 8.232135 3.0 29476.43 0.404042 0.834969 5869998 8.142404 1.5 39724.61 0.452584 0.836179 5869999 8.027052 1.5 41975.03 0.398097 0.828808 gap_fer 396 0.220563 495 0.302352 499 0.323509 505 0.171816 507 0.267434 ... ... 5869995 59.539689 5869996 59.905126 5869997 59.905126 5869998 60.048790 5869999 59.539689 [1328664 rows x 16 columns] lnfer_values irrigation1_values tmp pre lnfer \ 3522000 2.526000 0.000024 25.099590 6.254395 2.457656 1526713 1.143333 0.000024 26.261318 9.274925 1.292553 3111615 2.241333 0.000024 25.408514 6.727813 2.114730 3874719 2.770000 0.000024 23.114532 6.486805 2.773365 3757321 2.688667 0.000024 25.540484 7.249442 2.577108 ... ... ... ... ... ... 5048441 3.583333 0.000024 22.923516 6.107724 3.349302 5400645 3.827333 0.000024 24.528476 6.405407 2.662537 4989747 3.542667 0.000024 22.539126 6.282785 3.286767 5048449 3.583333 0.000024 24.569916 6.204955 2.479970 3874569 2.770000 0.000024 24.838466 7.128091 1.451035 irrigation1 y_temp geoid y_temp_base2015 y_temp_base_t \ 3522000 0.377088 7.874365 1001 7.871762 7.846458 1526713 0.738441 7.602207 1003 7.599898 7.590898 3111615 0.028216 7.826231 1005 7.821125 7.807509 3874719 0.182637 8.087544 1019 8.085071 8.072930 3757321 0.045782 7.893573 1031 7.888481 7.874131 ... ... ... ... ... ... 5048441 0.007355 8.186462 51139 8.184910 8.153659 5400645 0.004153 8.120382 51145 8.118854 7.960425 4989747 0.000534 8.209979 51163 8.209051 8.174846 5048449 0.013820 8.070864 51179 8.069013 7.918880 3874569 0.047134 7.979385 51183 7.975989 7.797517 lnyield_obs scenario har dif_lny_less gap_irrigation \ 3522000 7.509678 1.5 779.6250 0.002603 -0.377064 1526713 7.927428 1.5 6358.4330 0.002309 -0.738418 3111615 8.161582 1.5 526.5000 0.005106 -0.028192 3874719 7.779649 1.5 5017.9500 0.002473 -0.182613 3757321 7.785782 1.5 1655.9780 0.005092 -0.045758 ... ... ... ... ... ... 5048441 7.900331 3.0 308.1206 0.001552 -0.007331 5400645 7.903108 3.0 833.2875 0.001528 -0.004129 4989747 8.017239 3.0 255.5550 0.000928 -0.000511 5048449 7.831026 3.0 586.0350 0.001851 -0.013796 3874569 7.653934 3.0 10258.0700 0.003396 -0.047110 gap_fer min_gap_fer 3522000 0.825985 0.825985 1526713 -0.504865 -0.504865 3111615 1.118516 1.118516 3874719 -0.053791 -0.053791 3757321 1.553020 1.553020 ... ... ... 5048441 7.510473 7.510473 5400645 31.607264 31.607264 4989747 7.802733 7.802733 5048449 24.052413 24.052413 3874569 11.691105 11.691105 [392 rows x 17 columns] lnfer_values irrigation1_values tmp pre lnfer \ 3522000 2.526000 0.000024 25.099590 6.254395 2.457656 1526713 1.143333 0.000024 26.261318 9.274925 1.292553 3111615 2.241333 0.000024 25.408514 6.727813 2.114730 3874719 2.770000 0.000024 23.114532 6.486805 2.773365 3757321 2.688667 0.000024 25.540484 7.249442 2.577108 ... ... ... ... ... ... 5048441 3.583333 0.000024 22.923516 6.107724 3.349302 5400645 3.827333 0.000024 24.528476 6.405407 2.662537 4989747 3.542667 0.000024 22.539126 6.282785 3.286767 5048449 3.583333 0.000024 24.569916 6.204955 2.479970 3874569 2.770000 0.000024 24.838466 7.128091 1.451035 irrigation1 y_temp geoid y_temp_base2015 y_temp_base_t \ 3522000 0.377088 7.874365 1001 7.871762 7.846458 1526713 0.738441 7.602207 1003 7.599898 7.590898 3111615 0.028216 7.826231 1005 7.821125 7.807509 3874719 0.182637 8.087544 1019 8.085071 8.072930 3757321 0.045782 7.893573 1031 7.888481 7.874131 ... ... ... ... ... ... 5048441 0.007355 8.186462 51139 8.184910 8.153659 5400645 0.004153 8.120382 51145 8.118854 7.960425 4989747 0.000534 8.209979 51163 8.209051 8.174846 5048449 0.013820 8.070864 51179 8.069013 7.918880 3874569 0.047134 7.979385 51183 7.975989 7.797517 lnyield_obs scenario har dif_lny_less gap_irrigation \ 3522000 7.509678 1.5 779.6250 0.002603 -0.377064 1526713 7.927428 1.5 6358.4330 0.002309 -0.738418 3111615 8.161582 1.5 526.5000 0.005106 -0.028192 3874719 7.779649 1.5 5017.9500 0.002473 -0.182613 3757321 7.785782 1.5 1655.9780 0.005092 -0.045758 ... ... ... ... ... ... 5048441 7.900331 3.0 308.1206 0.001552 -0.007331 5400645 7.903108 3.0 833.2875 0.001528 -0.004129 4989747 8.017239 3.0 255.5550 0.000928 -0.000511 5048449 7.831026 3.0 586.0350 0.001851 -0.013796 3874569 7.653934 3.0 10258.0700 0.003396 -0.047110 gap_fer min_gap_fer min_gap_irrigation mana_group 3522000 0.825985 0.825985 -0.377064 2 1526713 -0.504865 -0.504865 -0.738418 2 3111615 1.118516 1.118516 -0.028192 2 3874719 -0.053791 -0.053791 -0.182613 2 3757321 1.553020 1.553020 -0.045758 2 ... ... ... ... ... 5048441 7.510473 7.510473 -0.007331 2 5400645 31.607264 31.607264 -0.004129 2 4989747 7.802733 7.802733 -0.000511 2 5048449 24.052413 24.052413 -0.013796 2 3874569 11.691105 11.691105 -0.047110 2 [392 rows x 19 columns]
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/545454127.py:10: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy df2['min_gap_irrigation'] = df2.loc[df2.groupby(['scenario', 'geoid'])['gap_irrigation'].idxmin(), 'gap_irrigation']
print(np.min(results_df2['gap_irrigation']),np.max(results_df2['gap_irrigation']),
np.mean(results_df2['gap_irrigation']),np.sum(np.isnan(results_df2['gap_irrigation'])))
print(np.min(results_df2['gap_fer']),np.max(results_df2['gap_fer']),
np.mean(results_df2['gap_fer']),np.sum(np.isnan(results_df2['gap_fer'])))
-3.7462991199999998 0.8369975599999999 -0.04949858193797928 0 -59.33647186383185 54.39053625288224 10.072200823313318 0
ds3=results_df0.merge(results_df2, left_on=['geoid', 'scenario'],
right_on=['geoid', 'scenario'], how='left')
ds3 = ds3[ds3['min_gap_fer'].isna()]
print(ds3)
ds3=ds3[['geoid', 'scenario']]
results_df3=ds3.merge(results_lnfer, left_on=['geoid', 'scenario'],
right_on=['geoid', 'scenario'], how='left')
results_df3['gap_fer']=(np.exp(results_df3['lnfer_need'])-np.exp(results_df3['lnfer']))
results_df3['gap_irrigation']=0
results_df3['irrigation1_values']=results_df3['irrigation1']
results_df3['lnfer_values']=results_df3['lnfer_need']
results_df3['y_temp']=results_df3['y_temp_base2015']
results_df3 = results_df3.drop(columns=['lnfer_need'])
results_df3['mana_group']=3
print(results_df3)
geoid scenario tmp_x pre_x lnfer_x irrigation1_x \ 1 28155 1.5 24.597372 6.798732 2.709249 0.000000 2 28155 3.0 26.340148 6.540652 2.709249 0.000000 3 29009 1.5 23.353156 6.747682 4.209049 0.000000 4 29009 3.0 25.124780 6.431704 4.209049 0.000000 7 29023 3.0 25.334522 5.720488 2.080452 0.000000 .. ... ... ... ... ... ... 530 1043 3.0 25.723312 6.718675 4.369129 0.149384 540 1075 3.0 26.457528 6.493699 2.301965 0.027715 550 1085 3.0 27.248052 6.264505 3.149844 0.318468 552 1087 3.0 26.679214 6.355030 4.096728 0.210819 559 1091 3.0 27.222396 6.256731 2.847938 0.009984 y_temp_base_t_x y_temp_base2015_x lnyield_obs_x har_x ... \ 1 8.217792 8.257644 7.753458 1499.4370 ... 2 8.080269 8.257644 7.753458 1499.4370 ... 3 8.562132 8.606349 7.585869 1176.5830 ... 4 8.478483 8.606349 7.585869 1176.5830 ... 7 7.985208 8.093990 8.002616 43566.9400 ... .. ... ... ... ... ... 530 8.054614 8.278050 7.978103 2906.2460 ... 540 7.681917 7.966898 7.625159 564.0975 ... 550 7.639415 7.910322 7.784370 1699.6330 ... 552 7.862778 8.090918 7.847030 598.4888 ... 559 7.623575 7.908306 7.563227 1578.0490 ... y_temp_base2015_y y_temp_base_t_y lnyield_obs_y har_y dif_lny_less \ 1 NaN NaN NaN NaN NaN 2 NaN NaN NaN NaN NaN 3 NaN NaN NaN NaN NaN 4 NaN NaN NaN NaN NaN 7 NaN NaN NaN NaN NaN .. ... ... ... ... ... 530 NaN NaN NaN NaN NaN 540 NaN NaN NaN NaN NaN 550 NaN NaN NaN NaN NaN 552 NaN NaN NaN NaN NaN 559 NaN NaN NaN NaN NaN gap_irrigation gap_fer min_gap_fer min_gap_irrigation mana_group 1 NaN NaN NaN NaN NaN 2 NaN NaN NaN NaN NaN 3 NaN NaN NaN NaN NaN 4 NaN NaN NaN NaN NaN 7 NaN NaN NaN NaN NaN .. ... ... ... ... ... 530 NaN NaN NaN NaN NaN 540 NaN NaN NaN NaN NaN 550 NaN NaN NaN NaN NaN 552 NaN NaN NaN NaN NaN 559 NaN NaN NaN NaN NaN [195 rows x 32 columns] geoid scenario tmp pre lnfer irrigation1 \ 0 28155 1.5 24.597372 6.798732 2.709249 0.000000 1 28155 3.0 26.340148 6.540652 2.709249 0.000000 2 29009 1.5 23.353156 6.747682 4.209049 0.000000 3 29009 3.0 25.124780 6.431704 4.209049 0.000000 4 29023 3.0 25.334522 5.720488 2.080452 0.000000 .. ... ... ... ... ... ... 190 1043 3.0 25.723312 6.718675 4.369129 0.149384 191 1075 3.0 26.457528 6.493699 2.301965 0.027715 192 1085 3.0 27.248052 6.264505 3.149844 0.318468 193 1087 3.0 26.679214 6.355030 4.096728 0.210819 194 1091 3.0 27.222396 6.256731 2.847938 0.009984 y_temp_base2015 y_temp_base_t lnyield_obs har gap_fer \ 0 8.257644 8.217792 7.753458 1499.4370 3.162361 1 8.257644 8.080269 7.753458 1499.4370 20.099739 2 8.606349 8.562132 7.585869 1176.5830 16.730996 3 8.606349 8.478483 7.585869 1176.5830 57.701358 4 8.093990 7.985208 8.002616 43566.9400 5.863311 .. ... ... ... ... ... 190 8.278050 8.054614 7.978103 2906.2460 364.946897 191 7.966898 7.681917 7.625159 564.0975 71.562105 192 7.910322 7.639415 7.784370 1699.6330 184.540509 193 8.090918 7.862778 7.847030 598.4888 298.745838 194 7.908306 7.623575 7.563227 1578.0490 121.360035 gap_irrigation irrigation1_values lnfer_values y_temp mana_group 0 0 0.000000 2.900342 8.257644 3 1 0 0.000000 3.558706 8.257644 3 2 0 0.000000 4.431097 8.606349 3 3 0 0.000000 4.828265 8.606349 3 4 0 0.000000 2.629829 8.093990 3 .. ... ... ... ... ... 190 0 0.149384 6.095648 8.278050 3 191 0 0.027715 4.401289 7.966898 3 192 0 0.318468 5.336927 7.910322 3 193 0 0.210819 5.883013 8.090918 3 194 0 0.009984 4.931680 7.908306 3 [195 rows x 16 columns]
print(np.min(results_df3['gap_irrigation']),np.max(results_df3['gap_irrigation']),
np.mean(results_df3['gap_irrigation']),np.sum(np.isnan(results_df3['gap_irrigation'])))
print(np.min(results_df3['gap_fer']),np.max(results_df3['gap_fer']),
np.mean(results_df3['gap_fer']),np.sum(np.isnan(results_df3['gap_fer'])))
0 0 0.0 0 0.6536715793407293 4302.983035950181 215.2738204700021 0
results_df13=pd.concat([results_df1, results_df3])
print(np.min(results_df13['gap_irrigation']),np.max(results_df13['gap_irrigation']),
np.mean(results_df13['gap_irrigation']),np.sum(np.isnan(results_df13['gap_irrigation'])))
print(np.min(results_df13['gap_fer']),np.max(results_df13['gap_fer']),
np.mean(results_df13['gap_fer']),np.sum(np.isnan(results_df13['gap_fer'])))
-4.09404712 2.387998780000001e-05 -0.11570133742851003 0 -276.9264724031997 4302.983035950181 54.10317758335209 0
results1=pd.concat([results_df1, results_df2])
results1 = results1.drop(['id','dif_lny_less','min_gap_fer','min_gap_irrigation'], axis=1)
results1['y_temp'] = results1['y_temp'].fillna(results1['y_temp_base2015'])
print(results1)
results=pd.concat([results1, results_df3])
print(results)
geoid scenario tmp pre lnfer irrigation1 \ 1544 39017 3.0 22.760628 5.757780 2.038479 0.001818 205 13043 3.0 27.027358 6.635976 2.035268 0.126456 1525 37177 3.0 25.319158 7.937325 1.236794 0.000507 349 17065 3.0 24.492824 5.942823 0.295453 0.000797 350 17067 1.5 21.297634 6.267068 -0.046396 0.001389 ... ... ... ... ... ... ... 5048441 51139 3.0 22.923516 6.107724 3.349302 0.007355 5400645 51145 3.0 24.528476 6.405407 2.662537 0.004153 4989747 51163 3.0 22.539126 6.282785 3.286767 0.000534 5048449 51179 3.0 24.569916 6.204955 2.479970 0.013820 3874569 51183 3.0 24.838466 7.128091 1.451035 0.047134 y_temp_base_t y_temp_base2015 lnyield_obs har \ 1544 7.958094 7.979504 7.994525 14757.7400 205 7.561807 7.761395 7.499042 1336.5000 1525 7.738559 7.905103 7.918210 12818.7600 349 7.610054 7.711970 7.946740 37450.0400 350 7.748190 7.763110 8.213926 58447.8900 ... ... ... ... ... 5048441 8.153659 8.184910 7.900331 308.1206 5400645 7.960425 8.118854 7.903108 833.2875 4989747 8.174846 8.209051 8.017239 255.5550 5048449 7.918880 8.069013 7.831026 586.0350 3874569 7.797517 7.975989 7.653934 10258.0700 gap_yield_warming gap_production_warming group sus_unsus \ 1544 -0.062799 -0.092677 1.0 1.0 205 -0.326819 -0.043679 1.0 1.0 1525 -0.421407 -0.540191 1.0 1.0 349 -0.273858 -1.025599 1.0 1.0 350 -0.054676 -0.319568 1.0 1.0 ... ... ... ... ... 5048441 NaN NaN NaN NaN 5400645 NaN NaN NaN NaN 4989747 NaN NaN NaN NaN 5048449 NaN NaN NaN NaN 3874569 NaN NaN NaN NaN irrigation1_values lnfer_values gap_irrigation gap_fer \ 1544 0.000024 2.194328 -0.001794 1.295049 205 0.000024 3.458172 -0.126432 24.104553 1525 0.000024 2.451664 -0.000484 8.163098 349 0.000024 1.039221 -0.000773 1.483279 350 0.000024 0.063104 -0.001366 0.110474 ... ... ... ... ... 5048441 0.000024 3.583333 -0.007331 7.510473 5400645 0.000024 3.827333 -0.004129 31.607264 4989747 0.000024 3.542667 -0.000511 7.802733 5048449 0.000024 3.583333 -0.013796 24.052413 3874569 0.000024 2.770000 -0.047110 11.691105 mana_group y_temp 1544 1 7.979504 205 1 7.761395 1525 1 7.905103 349 1 7.711970 350 1 7.763110 ... ... ... 5048441 2 8.186462 5400645 2 8.120382 4989747 2 8.209979 5048449 2 8.070864 3874569 2 7.979385 [1803 rows x 20 columns] geoid scenario tmp pre lnfer irrigation1 \ 1544 39017 3.0 22.760628 5.757780 2.038479 0.001818 205 13043 3.0 27.027358 6.635976 2.035268 0.126456 1525 37177 3.0 25.319158 7.937325 1.236794 0.000507 349 17065 3.0 24.492824 5.942823 0.295453 0.000797 350 17067 1.5 21.297634 6.267068 -0.046396 0.001389 ... ... ... ... ... ... ... 190 1043 3.0 25.723312 6.718675 4.369129 0.149384 191 1075 3.0 26.457528 6.493699 2.301965 0.027715 192 1085 3.0 27.248052 6.264505 3.149844 0.318468 193 1087 3.0 26.679214 6.355030 4.096728 0.210819 194 1091 3.0 27.222396 6.256731 2.847938 0.009984 y_temp_base_t y_temp_base2015 lnyield_obs har \ 1544 7.958094 7.979504 7.994525 14757.7400 205 7.561807 7.761395 7.499042 1336.5000 1525 7.738559 7.905103 7.918210 12818.7600 349 7.610054 7.711970 7.946740 37450.0400 350 7.748190 7.763110 8.213926 58447.8900 ... ... ... ... ... 190 8.054614 8.278050 7.978103 2906.2460 191 7.681917 7.966898 7.625159 564.0975 192 7.639415 7.910322 7.784370 1699.6330 193 7.862778 8.090918 7.847030 598.4888 194 7.623575 7.908306 7.563227 1578.0490 gap_yield_warming gap_production_warming group sus_unsus \ 1544 -0.062799 -0.092677 1.0 1.0 205 -0.326819 -0.043679 1.0 1.0 1525 -0.421407 -0.540191 1.0 1.0 349 -0.273858 -1.025599 1.0 1.0 350 -0.054676 -0.319568 1.0 1.0 ... ... ... ... ... 190 NaN NaN NaN NaN 191 NaN NaN NaN NaN 192 NaN NaN NaN NaN 193 NaN NaN NaN NaN 194 NaN NaN NaN NaN irrigation1_values lnfer_values gap_irrigation gap_fer \ 1544 0.000024 2.194328 -0.001794 1.295049 205 0.000024 3.458172 -0.126432 24.104553 1525 0.000024 2.451664 -0.000484 8.163098 349 0.000024 1.039221 -0.000773 1.483279 350 0.000024 0.063104 -0.001366 0.110474 ... ... ... ... ... 190 0.149384 6.095648 0.000000 364.946897 191 0.027715 4.401289 0.000000 71.562105 192 0.318468 5.336927 0.000000 184.540509 193 0.210819 5.883013 0.000000 298.745838 194 0.009984 4.931680 0.000000 121.360035 mana_group y_temp 1544 1 7.979504 205 1 7.761395 1525 1 7.905103 349 1 7.711970 350 1 7.763110 ... ... ... 190 3 8.278050 191 3 7.966898 192 3 7.910322 193 3 8.090918 194 3 7.908306 [1998 rows x 20 columns]
results_lnfer1=results_lnfer[['geoid','scenario','lnfer_need']]
print(results_lnfer1)
results_ok = results.merge(results_lnfer1, left_on=['geoid', 'scenario'],
right_on=['geoid', 'scenario'], how='left')
results_ok = results_ok.merge(results_irri1, left_on=['geoid', 'scenario'],
right_on=['geoid', 'scenario'], how='left')
print(results_ok)
geoid scenario lnfer_need 0 1001 1.5 2.667937 1 1001 3.0 4.505245 2 1003 1.5 1.404700 3 1003 3.0 4.202620 4 1005 1.5 2.215152 ... ... ... ... 1993 51103 1.5 3.877447 1994 51103 3.0 3.975355 1995 51141 1.5 3.812177 1996 51159 1.5 1.464794 1997 51159 3.0 1.812194 [1998 rows x 3 columns] geoid scenario tmp pre lnfer irrigation1 \ 0 39017 3.0 22.760628 5.757780 2.038479 0.001818 1 13043 3.0 27.027358 6.635976 2.035268 0.126456 2 37177 3.0 25.319158 7.937325 1.236794 0.000507 3 17065 3.0 24.492824 5.942823 0.295453 0.000797 4 17067 1.5 21.297634 6.267068 -0.046396 0.001389 ... ... ... ... ... ... ... 1993 1043 3.0 25.723312 6.718675 4.369129 0.149384 1994 1075 3.0 26.457528 6.493699 2.301965 0.027715 1995 1085 3.0 27.248052 6.264505 3.149844 0.318468 1996 1087 3.0 26.679214 6.355030 4.096728 0.210819 1997 1091 3.0 27.222396 6.256731 2.847938 0.009984 y_temp_base_t y_temp_base2015 lnyield_obs har ... \ 0 7.958094 7.979504 7.994525 14757.7400 ... 1 7.561807 7.761395 7.499042 1336.5000 ... 2 7.738559 7.905103 7.918210 12818.7600 ... 3 7.610054 7.711970 7.946740 37450.0400 ... 4 7.748190 7.763110 8.213926 58447.8900 ... ... ... ... ... ... ... 1993 8.054614 8.278050 7.978103 2906.2460 ... 1994 7.681917 7.966898 7.625159 564.0975 ... 1995 7.639415 7.910322 7.784370 1699.6330 ... 1996 7.862778 8.090918 7.847030 598.4888 ... 1997 7.623575 7.908306 7.563227 1578.0490 ... irrigation1_values lnfer_values gap_irrigation gap_fer \ 0 0.000024 2.194328 -0.001794 1.295049 1 0.000024 3.458172 -0.126432 24.104553 2 0.000024 2.451664 -0.000484 8.163098 3 0.000024 1.039221 -0.000773 1.483279 4 0.000024 0.063104 -0.001366 0.110474 ... ... ... ... ... 1993 0.149384 6.095648 0.000000 364.946897 1994 0.027715 4.401289 0.000000 71.562105 1995 0.318468 5.336927 0.000000 184.540509 1996 0.210819 5.883013 0.000000 298.745838 1997 0.009984 4.931680 0.000000 121.360035 mana_group y_temp lnfer_need irri_need irri_need_1 y_temp_irri 0 1 7.979504 2.194755 0.837454 0.837454 7.938183 1 1 7.761395 3.559168 0.837454 0.837454 7.540154 2 1 7.905103 2.452045 0.837454 0.837454 7.721508 3 1 7.711970 1.039118 NaN 0.837454 7.647000 4 1 7.763110 0.062503 0.235000 0.235000 7.763084 ... ... ... ... ... ... ... 1993 3 8.278050 6.095648 0.837454 0.837454 7.957525 1994 3 7.966898 4.401289 0.837454 0.837454 7.649035 1995 3 7.910322 5.336927 0.837454 0.837454 7.608856 1996 3 8.090918 5.883013 0.837454 0.837454 7.798237 1997 3 7.908306 4.931680 0.837454 0.837454 7.580939 [1998 rows x 24 columns]
#if under management strategy, gap_irrigaton>0, ['gap_fer']>['gap_fer1']
# that means more N and irrigation are needed under integrated strategy
# replace them into 'N only'
results_ok['gap_fer1']=(np.exp(results_ok['lnfer_need'])-np.exp(results_ok['lnfer']))
condition = (results_ok['gap_fer'] > results_ok['gap_fer1']) & (results_ok['gap_irrigation'] > 0)
# Assign values to 'gap_fer' based on the condition
results_ok['gap_fer1']=(np.exp(results_ok['lnfer_need'])-np.exp(results_ok['lnfer']))
condition = (results_ok['gap_fer'] > results_ok['gap_fer1']) & (results_ok['gap_irrigation'] > 0)
# Assign values to 'gap_fer' based on the condition
results_ok['gap_fer'] = np.where(condition, results_ok['gap_fer1'], results_ok['gap_fer'])
results_ok['gap_irrigation'] = np.where(condition, 0, results_ok['gap_irrigation'])
results_ok['y_temp'] = np.where(condition, results_ok['y_temp_base2015'], results_ok['y_temp'])
results_ok['lnfer_values'] = np.where(condition, results_ok['lnfer_need'], results_ok['lnfer_values'])
print(np.min(results_ok['mana_group']),np.max(results_ok['mana_group']),
np.mean(results_ok['mana_group']),np.sum(np.isnan(results_ok['mana_group'])))
results_ok['mana_group'] = np.where(condition, 1, results_ok['mana_group'])
print(np.min(results_ok['mana_group']),np.max(results_ok['mana_group']),
np.mean(results_ok['mana_group']),np.sum(np.isnan(results_ok['mana_group'])))
print(results_ok)
1 3 1.3913913913913913 0 1 3 1.354854854854855 0 geoid scenario tmp pre lnfer irrigation1 \ 0 39017 3.0 22.760628 5.757780 2.038479 0.001818 1 13043 3.0 27.027358 6.635976 2.035268 0.126456 2 37177 3.0 25.319158 7.937325 1.236794 0.000507 3 17065 3.0 24.492824 5.942823 0.295453 0.000797 4 17067 1.5 21.297634 6.267068 -0.046396 0.001389 ... ... ... ... ... ... ... 1993 1043 3.0 25.723312 6.718675 4.369129 0.149384 1994 1075 3.0 26.457528 6.493699 2.301965 0.027715 1995 1085 3.0 27.248052 6.264505 3.149844 0.318468 1996 1087 3.0 26.679214 6.355030 4.096728 0.210819 1997 1091 3.0 27.222396 6.256731 2.847938 0.009984 y_temp_base_t y_temp_base2015 lnyield_obs har ... \ 0 7.958094 7.979504 7.994525 14757.7400 ... 1 7.561807 7.761395 7.499042 1336.5000 ... 2 7.738559 7.905103 7.918210 12818.7600 ... 3 7.610054 7.711970 7.946740 37450.0400 ... 4 7.748190 7.763110 8.213926 58447.8900 ... ... ... ... ... ... ... 1993 8.054614 8.278050 7.978103 2906.2460 ... 1994 7.681917 7.966898 7.625159 564.0975 ... 1995 7.639415 7.910322 7.784370 1699.6330 ... 1996 7.862778 8.090918 7.847030 598.4888 ... 1997 7.623575 7.908306 7.563227 1578.0490 ... lnfer_values gap_irrigation gap_fer mana_group y_temp \ 0 2.194328 -0.001794 1.295049 1 7.979504 1 3.458172 -0.126432 24.104553 1 7.761395 2 2.451664 -0.000484 8.163098 1 7.905103 3 1.039221 -0.000773 1.483279 1 7.711970 4 0.063104 -0.001366 0.110474 1 7.763110 ... ... ... ... ... ... 1993 6.095648 0.000000 364.946897 3 8.278050 1994 4.401289 0.000000 71.562105 3 7.966898 1995 5.336927 0.000000 184.540509 3 7.910322 1996 5.883013 0.000000 298.745838 3 8.090918 1997 4.931680 0.000000 121.360035 3 7.908306 lnfer_need irri_need irri_need_1 y_temp_irri gap_fer1 0 2.194755 0.837454 0.837454 7.938183 1.298881 1 3.559168 0.837454 0.837454 7.540154 27.479654 2 2.452045 0.837454 0.837454 7.721508 8.167518 3 1.039118 NaN 0.837454 7.647000 1.482988 4 0.062503 0.235000 0.235000 7.763084 0.109834 ... ... ... ... ... ... 1993 6.095648 0.837454 0.837454 7.957525 364.946897 1994 4.401289 0.837454 0.837454 7.649035 71.562105 1995 5.336927 0.837454 0.837454 7.608856 184.540509 1996 5.883013 0.837454 0.837454 7.798237 298.745838 1997 4.931680 0.837454 0.837454 7.580939 121.360035 [1998 rows x 25 columns]
# Extract the corresponding lnfer_value and irrigation1_value
output_df = results_ok[['tmp', 'pre', 'lnfer','irrigation1', 'y_temp','mana_group',
'geoid','scenario', 'lnyield_obs','scenario', 'har','gap_fer','gap_irrigation','lnfer_need',
'lnfer_values','irri_need','y_temp_base2015','y_temp_base_t','irri_need_1','y_temp_irri']]
# Rename the columns to match your desired output
output_df.columns = [ 'tmp', 'pre', 'lnfer','irrigation1', 'y_temp','mana_group',
'geoid','scenario', 'lnyield_obs','scenario', 'har','gap_fer','gap_irrigation','lnfer_need',
'lnfer_values','irri_need','y_temp_base2015','y_temp_base_t','irri_need_1','y_temp_irri']
# Define the output CSV file path
output_csv_file = "off_soybean_mana_lnfer_irri.csv"
# Save the 'output_df' DataFrame to a CSV file
output_df.to_csv(output_csv_file, index=False)
print(f"Data saved to '{output_csv_file}'")
Data saved to 'off_soybean_mana_lnfer_irri.csv'
data = results_irri[results_irri['scenario'] == 1.5]
# Calculate the mean of 'gap_production' within each unique combination of 'scenario' and 'geoid'
data['gap_irrigation']=(data['irri_need'])-(data['irrigation1'])
print(np.min(data['gap_irrigation']),np.max(data['gap_irrigation']),np.mean(data['gap_irrigation']))
data.loc[pd.isna(data['gap_irrigation']), 'gap_irrigation'] = 9999
count_missing_values = (data['gap_irrigation'] == 9999).sum()
print(f"Count of values equal to 9999: {count_missing_values}")
print(data)
print(np.min(data['gap_irrigation']),np.max(data['gap_irrigation']),np.mean(data['gap_irrigation']))
print(np.percentile(data['gap_irrigation'], 5),np.percentile(data['gap_irrigation'], 95))
data.loc[(data['gap_irrigation'] > 2.65)&(data['gap_irrigation'] != 9999),
'gap_irrigation'] = 2.65
data.loc[(data['gap_irrigation'] < -2.65)&(data['gap_irrigation'] != 9999),
'gap_irrigation'] = -2.65
data['geoid'] = data['geoid'].astype(float)
# Load US county boundaries shapefile using geopandas
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_county_20m/surface_shapefile.shp'
gdf_county = gpd.read_file(shapefile_path)
# Ensure 'GEOID' column in the shapefile has the 'object' data type
gdf_county['GEOID'] = gdf_county['GEOID'].astype(float)
# Rename the 'geoid' column to 'GEOID' in the 'data' DataFrame
data.rename(columns={'geoid': 'GEOID'}, inplace=True)
# Convert the 'GEOID' column in the 'data' DataFrame to 'object' data type
data['GEOID'] = data['GEOID'].astype(float)
# Merge 'data' with county boundaries based on 'GEOID' attribute
merged_data = gdf_county.merge(data, on='GEOID', how='left')
# Filter the data to include only geometries within the specified longitude and latitude range
filtered_data = merged_data.cx[-130:-60, 25:50]
# Plot the county boundaries
fig, ax = plt.subplots(figsize=(10, 4))
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_state_20m/cb_2018_us_state_20m.shp'
gdf_state = gpd.read_file(shapefile_path)
gdf_state.rename(columns={'GEOID': 'GEOID_state'}, inplace=True)
gdf_state = gdf_state.cx[-130:-60, 25:50]
gdf_state.boundary.plot(ax=ax, linewidth=0.3, color='grey') # Plot county boundaries in grey
# Create a ScalarMappable without plotting the data
cmap = mcolors.ListedColormap(['white'] + list(plt.cm.BrBG_r(np.linspace(0, 1, 255))))
norm = mcolors.Normalize(vmin=-2.7, vmax=2.7)
sc = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
sc.set_array([])
# Add colorbar
custom_ticks = [-2.6, -1.3, 0, 1.3, 2.6]
cbar = plt.colorbar(sc, ax=ax, label='Irrigation\n($10^{3}$ m$^{3}$/ha/yr)', orientation='vertical', pad=-0.02, shrink=0.8, ticks=custom_ticks)
cbar.ax.set_ylabel('Irrigation ($10^{3}$ m$^{3}$/ha/yr)', fontsize=16, fontfamily='Arial')
cbar.ax.tick_params(labelsize=16)
cbar.ax.set_yticklabels(custom_ticks, fontsize=16, fontfamily='Arial')
# Plot the mean_gap_irrigation values
filtered_data.plot(column='gap_irrigation', cmap=cmap, ax=ax, norm=norm)
# Highlight counties with red 'x' (without filled color)
highlighted_county = filtered_data[filtered_data['gap_irrigation'] == 9999]
highlighted_county_centroids = highlighted_county.geometry.centroid
ax.scatter(highlighted_county_centroids.x, highlighted_county_centroids.y,
marker='x', color='red', s=15, label='Irrigation cannot offset yield loss') # Adjust the marker size
# Add custom legend for highlighted county
legend_line = mlines.Line2D([], [], color='red', marker='x', linestyle='None',
markersize=10, markeredgewidth=3, label='Irrigation cannot offset yield loss')
# Set font properties for the legend
font_prop = FontProperties(family='Arial', size=16)
font_prop.set_weight('bold')
# Add legend with font family
# Additional plot configurations
ax.set_xticks([]) # Remove x-axis ticks
ax.set_yticks([]) # Remove y-axis ticks
ax.set_frame_on(False) # Turn off the frame
plt.text(0.25, 0.25, '(c) Soybean', transform=plt.gcf().transFigure,
fontsize=18, fontweight='bold', fontfamily='Arial', ha='left', va='bottom')
# Save the entire figure as a JPG with DPI 300
plt.savefig('off_soybean_irri_15.png', format='png',
dpi=300, bbox_inches='tight', pad_inches=0.1, transparent=True)
# Show the plot
plt.show()
-3.25661719 0.8374538099999997 0.6173081431683627 Count of values equal to 9999: 183 tmp pre lnfer irrigation1 y_temp_base2015 \ 0 25.099590 6.254395 2.457656 0.377088 7.871762 2 26.261318 9.274925 1.292553 0.738441 7.599898 4 25.408514 6.727813 2.114730 0.028216 7.821125 6 23.976584 6.790346 4.361742 0.056342 8.285447 8 25.246212 6.448847 4.858469 0.030586 8.201724 ... ... ... ... ... ... 1987 23.054028 6.988594 1.451035 0.047134 7.975989 1989 22.726178 6.559806 1.287505 0.055504 7.938844 1991 23.445478 7.457666 1.553341 0.022453 7.970973 1993 23.349492 7.419639 1.187985 0.008524 7.928655 1995 23.207888 7.236578 2.482080 0.010662 8.111622 y_temp_base_t geoid scenario lnyield_obs har irri_need \ 0 7.846458 1001 1.5 7.509678 779.625 0.837454 2 7.590898 1003 1.5 7.927428 6358.433 0.507000 4 7.807509 1005 1.5 8.161582 526.500 0.837454 6 8.252038 1009 1.5 7.840701 1107.736 0.837454 8 8.183765 1011 1.5 7.984614 870.750 0.837454 ... ... ... ... ... ... ... 1987 7.933484 51183 1.5 7.653934 10258.070 0.837454 1989 7.908054 51193 1.5 7.805104 7122.953 NaN 1991 7.940719 51550 1.5 7.885281 9798.216 0.837454 1993 7.896463 51800 1.5 7.798817 7968.552 0.837454 1995 8.075677 51810 1.5 7.872881 4972.955 0.837454 irri_need_1 y_temp_irri gap_irrigation 0 0.837454 7.826731 0.460366 2 0.738441 7.590898 -0.231441 4 0.837454 7.773008 0.809238 6 0.837454 8.127237 0.781112 8 0.837454 8.059327 0.806867 ... ... ... ... 1987 0.837454 7.915894 0.790320 1989 0.837454 7.902166 9999.000000 1991 0.837454 7.911710 0.815001 1993 0.837454 7.884957 0.828930 1995 0.837454 8.005891 0.826792 [852 rows x 14 columns] -3.25661719 9999.0 2148.157252520868 -0.11556065 9999.0
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/562872921.py:4: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['gap_irrigation']=(data['irri_need'])-(data['irrigation1']) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/562872921.py:19: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['geoid'] = data['geoid'].astype(float) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/562872921.py:29: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data.rename(columns={'geoid': 'GEOID'}, inplace=True) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/562872921.py:32: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['GEOID'] = data['GEOID'].astype(float) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/562872921.py:66: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation. highlighted_county_centroids = highlighted_county.geometry.centroid
data = results_irri[results_irri['scenario'] == 3]
# Calculate the mean of 'gap_production' within each unique combination of 'scenario' and 'geoid'
data['gap_irrigation']=(data['irri_need'])-(data['irrigation1'])
print(np.min(data['gap_irrigation']),np.max(data['gap_irrigation']),np.mean(data['gap_irrigation']))
data.loc[pd.isna(data['gap_irrigation']), 'gap_irrigation'] = 9999
count_missing_values = (data['gap_irrigation'] == 9999).sum()
print(f"Count of values equal to 9999: {count_missing_values}")
print(data)
print(np.min(data['gap_irrigation']),np.max(data['gap_irrigation']),np.mean(data['gap_irrigation']))
print(np.percentile(data['gap_irrigation'], 5),np.percentile(data['gap_irrigation'], 95))
data.loc[(data['gap_irrigation'] > 2.65)&(data['gap_irrigation'] != 9999),
'gap_irrigation'] = 2.65
data.loc[(data['gap_irrigation'] < -2.65)&(data['gap_irrigation'] != 9999),
'gap_irrigation'] = -2.65
data['geoid'] = data['geoid'].astype(float)
# Load US county boundaries shapefile using geopandas
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_county_20m/surface_shapefile.shp'
gdf_county = gpd.read_file(shapefile_path)
# Ensure 'GEOID' column in the shapefile has the 'object' data type
gdf_county['GEOID'] = gdf_county['GEOID'].astype(float)
# Rename the 'geoid' column to 'GEOID' in the 'data' DataFrame
data.rename(columns={'geoid': 'GEOID'}, inplace=True)
# Convert the 'GEOID' column in the 'data' DataFrame to 'object' data type
data['GEOID'] = data['GEOID'].astype(float)
# Merge 'data' with county boundaries based on 'GEOID' attribute
merged_data = gdf_county.merge(data, on='GEOID', how='left')
# Filter the data to include only geometries within the specified longitude and latitude range
filtered_data = merged_data.cx[-130:-60, 25:50]
# Plot the county boundaries
fig, ax = plt.subplots(figsize=(10, 4))
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_state_20m/cb_2018_us_state_20m.shp'
gdf_state = gpd.read_file(shapefile_path)
gdf_state.rename(columns={'GEOID': 'GEOID_state'}, inplace=True)
gdf_state = gdf_state.cx[-130:-60, 25:50]
gdf_state.boundary.plot(ax=ax, linewidth=0.3, color='grey') # Plot county boundaries in grey
# Create a ScalarMappable without plotting the data
cmap = mcolors.ListedColormap(['white'] + list(plt.cm.BrBG_r(np.linspace(0, 1, 255))))
norm = mcolors.Normalize(vmin=-2.7, vmax=2.7)
sc = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
sc.set_array([])
# Add colorbar
custom_ticks = [-2.6, -1.3, 0, 1.3, 2.6]
cbar = plt.colorbar(sc, ax=ax, label='Irrigation\n($10^{3}$ m$^{3}$/ha/yr)', orientation='vertical', pad=-0.02, shrink=0.8, ticks=custom_ticks)
cbar.ax.set_ylabel('Irrigation ($10^{3}$ m$^{3}$/ha/yr)', fontsize=16, fontfamily='Arial')
cbar.ax.tick_params(labelsize=16)
cbar.ax.set_yticklabels(custom_ticks, fontsize=16, fontfamily='Arial')
# Plot the mean_gap_irrigation values
filtered_data.plot(column='gap_irrigation', cmap=cmap, ax=ax, norm=norm)
# Highlight counties with red 'x' (without filled color)
highlighted_county = filtered_data[filtered_data['gap_irrigation'] == 9999]
highlighted_county_centroids = highlighted_county.geometry.centroid
ax.scatter(highlighted_county_centroids.x, highlighted_county_centroids.y,
marker='x', color='red', s=15, label='Irrigation cannot offset yield loss') # Adjust the marker size
# Add custom legend for highlighted county
legend_line = mlines.Line2D([], [], color='red', marker='x', linestyle='None',
markersize=10, markeredgewidth=3, label='Irrigation cannot offset yield loss')
# Set font properties for the legend
font_prop = FontProperties(family='Arial', size=16)
font_prop.set_weight('bold')
# Additional plot configurations
ax.set_xticks([]) # Remove x-axis ticks
ax.set_yticks([]) # Remove y-axis ticks
ax.set_frame_on(False) # Turn off the frame
plt.text(0.25, 0.25, '(d) Soybean', transform=plt.gcf().transFigure,
fontsize=18, fontweight='bold', fontfamily='Arial', ha='left', va='bottom')
# Save the entire figure as a JPG with DPI 300
plt.savefig('off_soybean_irri_3.png', format='png',
dpi=300, bbox_inches='tight', pad_inches=0.1, transparent=True)
# Show the plot
plt.show()
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3272060730.py:4: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['gap_irrigation']=(data['irri_need'])-(data['irrigation1']) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3272060730.py:19: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['geoid'] = data['geoid'].astype(float) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3272060730.py:29: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data.rename(columns={'geoid': 'GEOID'}, inplace=True) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3272060730.py:32: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['GEOID'] = data['GEOID'].astype(float)
-3.25661719 0.8374538099999997 0.7062786188093132 Count of values equal to 9999: 313 tmp pre lnfer irrigation1 y_temp_base2015 \ 1 26.784940 6.208599 2.457656 0.377088 7.871762 3 27.808318 8.926058 1.292553 0.738441 7.599898 5 27.067738 6.742623 2.114730 0.028216 7.821125 7 25.706190 6.658286 4.361742 0.056342 8.285447 9 26.923034 6.491163 4.858469 0.030586 8.201724 ... ... ... ... ... ... 1990 24.587320 6.583579 1.287505 0.055504 7.938844 1992 25.147098 7.570098 1.553341 0.022453 7.970973 1994 25.061998 7.586472 1.187985 0.008524 7.928655 1996 24.859328 7.207139 2.482080 0.010662 8.111622 1997 23.294406 5.721528 0.935788 0.000171 7.820683 y_temp_base_t geoid scenario lnyield_obs har irri_need \ 1 7.622792 1001 3.0 7.509678 779.625 0.837454 3 7.351790 1003 3.0 7.927428 6358.433 0.837454 5 7.574791 1005 3.0 8.161582 526.500 0.837454 7 8.067909 1009 3.0 7.840701 1107.736 0.837454 9 7.957275 1011 3.0 7.984614 870.750 0.837454 ... ... ... ... ... ... ... 1990 7.776233 51193 3.0 7.805104 7122.953 NaN 1992 7.792875 51550 3.0 7.885281 9798.216 0.837454 1994 7.753334 51800 3.0 7.798817 7968.552 0.837454 1996 7.939772 51810 3.0 7.872881 4972.955 0.837454 1997 7.775021 54037 3.0 7.900531 3976.619 NaN irri_need_1 y_temp_irri gap_irrigation 1 0.837454 7.606994 0.460366 3 0.837454 7.348977 0.099012 5 0.837454 7.544787 0.809238 7 0.837454 7.958548 0.781112 9 0.837454 7.841922 0.806867 ... ... ... ... 1990 0.837454 7.773208 9999.000000 1992 0.837454 7.765774 0.815001 1994 0.837454 7.742675 0.828930 1996 0.837454 7.876415 0.826792 1997 0.837454 7.792047 9999.000000 [1146 rows x 14 columns] -3.25661719 9999.0 2731.4793456278085 0.20102022749999993 9999.0
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3272060730.py:67: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation. highlighted_county_centroids = highlighted_county.geometry.centroid
excel_file = "off_soybean_mana_lnfer_irri.csv"
data = pd.read_csv(excel_file)
data = data[data['scenario'] == 1.5]
print(data)
print(np.min(data['gap_irrigation']),np.max(data['gap_irrigation']),np.mean(data['gap_irrigation']))
print(np.percentile(data['gap_irrigation'], 5),np.percentile(data['gap_irrigation'], 95))
data.loc[data['gap_irrigation'] > 2.65, 'gap_irrigation'] = 2.65
data.loc[data['gap_irrigation'] < -2.65, 'gap_irrigation'] = -2.65
data['geoid'] = data['geoid'].astype(float)
# Load US county boundaries shapefile using geopandas
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_county_20m/surface_shapefile.shp'
gdf_county = gpd.read_file(shapefile_path)
# Ensure 'GEOID' column in the shapefile has the 'object' data type
gdf_county['GEOID'] = gdf_county['GEOID'].astype(float)
# Rename the 'geoid' column to 'GEOID' in year_2020_data
data.rename(columns={'geoid': 'GEOID'}, inplace=True)
# Convert the 'GEOID' column in the 'data' DataFrame to 'object' data type
data['GEOID'] = data['GEOID'].astype(float)
# Now, merge 'data' with county boundaries based on 'GEOID' attribute
merged_data = gdf_county.merge(data, on='GEOID', how='left')
# Filter the data to include only geometries within the specified longitude and latitude range
filtered_data = merged_data.cx[-130:-60, 25:50]
cmap = mcolors.ListedColormap(['white'] + list(plt.cm.BrBG_r(np.linspace(0, 1, 255))))
norm = mcolors.Normalize(vmin=-2.7, vmax=2.7)
# Plot both county boundaries and 'y_temp' values on the same map within the specified range
fig, ax = plt.subplots(figsize=(10, 4))
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_state_20m/cb_2018_us_state_20m.shp'
gdf_state = gpd.read_file(shapefile_path)
gdf_state.rename(columns={'GEOID': 'GEOID_state'}, inplace=True)
gdf_state = gdf_state.cx[-130:-60, 25:50]
gdf_state.boundary.plot(ax=ax, linewidth=0.3, color='grey') # Plot county boundaries in grey
sc = plt.scatter([], [], c=[], cmap=cmap, norm=norm) # Create an empty ScalarMappable for the colorbar
# Define custom colorbar ticks
custom_ticks = [-2.6, -1.3, 0, 1.3, 2.6]
# Adjust the height of the colorbar by setting the shrink parameter
cbar = plt.colorbar(sc, ax=ax, label='Irrigation\n($10^{3}$ m$^{3}$/ha/yr)', orientation='vertical', pad=-0.02, shrink=0.8, ticks=custom_ticks)
# Set the font size of the colorbar label
# Set the colorbar label text, font size, and padding
cbar.ax.set_ylabel('Irrigation ($10^{3}$ m$^{3}$/ha/yr)', fontsize=16, fontfamily='Arial')
cbar.ax.tick_params(labelsize=16) # Adjust tick label fontsize
cbar.ax.set_yticklabels(custom_ticks, fontsize=16, fontfamily='Arial')
filtered_data.plot(column='gap_irrigation', cmap=cmap, ax=ax, norm=norm)
# Add labels, titles, or other plot configurations as needed
ax.set_xticks([]) # Remove x-axis ticks
ax.set_yticks([]) # Remove y-axis ticks
ax.set_frame_on(False) # Turn off the frame
plt.text(0.25, 0.2, '(g) Soybean', transform=plt.gcf().transFigure,
fontsize=18, fontweight='bold', fontfamily='Arial', ha='left', va='bottom')
# Save the entire figure as a JPG with DPI 300
plt.savefig('off_soybean_mana_irri_15.png', format='png',
dpi=300, bbox_inches='tight', pad_inches=0.1, transparent=True)
# Show the plot
plt.show()
tmp pre lnfer irrigation1 y_temp mana_group geoid \ 4 21.297634 6.267068 -0.046396 0.001389 7.763110 1 17067 6 23.368236 7.039531 2.480696 0.042775 8.064906 1 37045 8 20.636286 5.911292 1.265328 0.007367 7.910679 1 17075 11 24.389220 8.362195 1.247938 0.009316 7.846596 1 37031 13 21.414218 5.922644 0.748695 0.001327 7.844605 1 17107 ... ... ... ... ... ... ... ... 1979 23.881700 6.681210 6.281323 0.091063 8.549590 3 1059 1981 25.374776 6.487229 6.026028 0.058274 8.366090 3 1063 1983 25.375840 6.385456 6.055595 0.081476 8.357682 3 1065 1988 23.976584 6.790346 4.361742 0.056342 8.285447 3 1009 1992 23.975426 6.860577 4.369129 0.149384 8.278050 3 1043 scenario lnyield_obs scenario.1 har gap_fer \ 4 1.5 8.213926 1.5 58447.890 0.110474 6 1.5 7.648014 1.5 5522.715 0.515904 8 1.5 8.143628 1.5 108519.700 0.176216 11 1.5 7.732798 1.5 8839.125 0.143718 13 1.5 8.279940 1.5 53825.450 0.184053 ... ... ... ... ... ... 1979 1.5 7.841934 1.5 1782.427 230.462736 1981 1.5 7.382296 1.5 931.500 157.742963 1983 1.5 7.649490 1.5 1608.660 156.285995 1988 1.5 7.840701 1.5 1107.736 22.209510 1992 1.5 7.978103 1.5 2906.246 27.753527 gap_irrigation lnfer_need lnfer_values irri_need y_temp_base2015 \ 4 -0.001366 0.062503 0.063104 0.235000 7.763110 6 -0.042751 2.551202 2.522963 0.837454 8.064906 8 -0.007344 1.313912 1.313850 NaN 7.910679 11 -0.009292 1.290816 1.288370 0.837454 7.846596 13 -0.001303 0.831943 0.832166 0.455000 7.844605 ... ... ... ... ... ... 1979 0.000000 6.639821 6.639821 0.837454 8.549590 1981 0.000000 6.348807 6.348807 0.837454 8.366090 1983 0.000000 6.367807 6.367807 0.837454 8.357682 1988 0.000000 4.611183 4.611183 0.837454 8.285447 1992 0.000000 4.670287 4.670287 0.837454 8.278050 y_temp_base_t irri_need_1 y_temp_irri 4 7.748190 0.235000 7.763084 6 8.055423 0.837454 7.993940 8 7.904037 0.837454 7.903477 11 7.840749 0.837454 7.816472 13 7.833198 0.455000 7.844601 ... ... ... ... 1979 8.502215 0.837454 8.318906 1981 8.322773 0.837454 8.162960 1983 8.316101 0.837454 8.166404 1988 8.252038 0.837454 8.127237 1992 8.239287 0.837454 8.128134 [852 rows x 20 columns] -4.09404712 0.8369975599999999 -0.109864623684242 -0.7312366549999999 0.0
excel_file = "off_soybean_mana_lnfer_irri.csv"
data = pd.read_csv(excel_file)
data = data[data['scenario'] == 3]
print(data)
print(np.min(data['gap_irrigation']),np.max(data['gap_irrigation']),np.mean(data['gap_irrigation']))
print(np.percentile(data['gap_irrigation'], 5),np.percentile(data['gap_irrigation'], 95))
data.loc[data['gap_irrigation'] > 2.65, 'gap_irrigation'] = 2.65
data.loc[data['gap_irrigation'] < -2.65, 'gap_irrigation'] = -2.65
data['geoid'] = data['geoid'].astype(float)
# Load US county boundaries shapefile using geopandas
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_county_20m/surface_shapefile.shp'
gdf_county = gpd.read_file(shapefile_path)
# Ensure 'GEOID' column in the shapefile has the 'object' data type
gdf_county['GEOID'] = gdf_county['GEOID'].astype(float)
# Rename the 'geoid' column to 'GEOID' in year_2020_data
data.rename(columns={'geoid': 'GEOID'}, inplace=True)
# Convert the 'GEOID' column in the 'data' DataFrame to 'object' data type
data['GEOID'] = data['GEOID'].astype(float)
# Now, merge 'data' with county boundaries based on 'GEOID' attribute
merged_data = gdf_county.merge(data, on='GEOID', how='left')
# Filter the data to include only geometries within the specified longitude and latitude range
filtered_data = merged_data.cx[-130:-60, 25:50]
cmap = mcolors.ListedColormap(['white'] + list(plt.cm.BrBG_r(np.linspace(0, 1, 255))))
norm = mcolors.Normalize(vmin=-2.7, vmax=2.7)
# Plot both county boundaries and 'y_temp' values on the same map within the specified range
fig, ax = plt.subplots(figsize=(10, 4))
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_state_20m/cb_2018_us_state_20m.shp'
gdf_state = gpd.read_file(shapefile_path)
gdf_state.rename(columns={'GEOID': 'GEOID_state'}, inplace=True)
gdf_state = gdf_state.cx[-130:-60, 25:50]
gdf_state.boundary.plot(ax=ax, linewidth=0.3, color='grey') # Plot county boundaries in grey
sc = plt.scatter([], [], c=[], cmap=cmap, norm=norm) # Create an empty ScalarMappable for the colorbar
# Define custom colorbar ticks
custom_ticks = [-2.6, -1.3, 0, 1.3, 2.6]
# Adjust the height of the colorbar by setting the shrink parameter
cbar = plt.colorbar(sc, ax=ax, label='Irrigation\n($10^{3}$ m$^{3}$/ha/yr)', orientation='vertical', pad=-0.02, shrink=0.8, ticks=custom_ticks)
# Set the font size of the colorbar label
# Set the colorbar label text, font size, and padding
cbar.ax.set_ylabel('Irrigation ($10^{3}$ m$^{3}$/ha/yr)', fontsize=16, fontfamily='Arial')
cbar.ax.tick_params(labelsize=16) # Adjust tick label fontsize
cbar.ax.set_yticklabels(custom_ticks, fontsize=16, fontfamily='Arial')
filtered_data.plot(column='gap_irrigation', cmap=cmap, ax=ax, norm=norm)
# Add labels, titles, or other plot configurations as needed
ax.set_xticks([]) # Remove x-axis ticks
ax.set_yticks([]) # Remove y-axis ticks
ax.set_frame_on(False) # Turn off the frame
plt.text(0.25, 0.2, '(h) Soybean', transform=plt.gcf().transFigure,
fontsize=18, fontweight='bold', fontfamily='Arial', ha='left', va='bottom')
# Save the entire figure as a JPG with DPI 300
plt.savefig('off_soybean_mana_irri_3.png', format='png',
dpi=300, bbox_inches='tight', pad_inches=0.1, transparent=True)
# Show the plot
plt.show()
tmp pre lnfer irrigation1 y_temp mana_group geoid \ 0 22.760628 5.757780 2.038479 0.001818 7.979504 1 39017 1 27.027358 6.635976 2.035268 0.126456 7.761395 1 13043 2 25.319158 7.937325 1.236794 0.000507 7.905103 1 37177 3 24.492824 5.942823 0.295453 0.000797 7.711970 1 17065 5 25.244316 6.669287 2.480696 0.042775 8.064906 1 37045 ... ... ... ... ... ... ... ... 1993 25.723312 6.718675 4.369129 0.149384 8.278050 3 1043 1994 26.457528 6.493699 2.301965 0.027715 7.966898 3 1075 1995 27.248052 6.264505 3.149844 0.318468 7.910322 3 1085 1996 26.679214 6.355030 4.096728 0.210819 8.090918 3 1087 1997 27.222396 6.256731 2.847938 0.009984 7.908306 3 1091 scenario lnyield_obs scenario.1 har gap_fer \ 0 3.0 7.994525 3.0 14757.7400 1.295049 1 3.0 7.499042 3.0 1336.5000 24.104553 2 3.0 7.918210 3.0 12818.7600 8.163098 3 3.0 7.946740 3.0 37450.0400 1.483279 5 3.0 7.648014 3.0 5522.7150 35.724095 ... ... ... ... ... ... 1993 3.0 7.978103 3.0 2906.2460 364.946897 1994 3.0 7.625159 3.0 564.0975 71.562105 1995 3.0 7.784370 3.0 1699.6330 184.540509 1996 3.0 7.847030 3.0 598.4888 298.745838 1997 3.0 7.563227 3.0 1578.0490 121.360035 gap_irrigation lnfer_need lnfer_values irri_need y_temp_base2015 \ 0 -0.001794 2.194755 2.194328 0.837454 7.979504 1 -0.126432 3.559168 3.458172 0.837454 7.761395 2 -0.000484 2.452045 2.451664 0.837454 7.905103 3 -0.000773 1.039118 1.039221 NaN 7.711970 5 -0.042751 3.908331 3.864379 0.837454 8.064906 ... ... ... ... ... ... 1993 0.000000 6.095648 6.095648 0.837454 8.278050 1994 0.000000 4.401289 4.401289 0.837454 7.966898 1995 0.000000 5.336927 5.336927 0.837454 7.910322 1996 0.000000 5.883013 5.883013 0.837454 8.090918 1997 0.000000 4.931680 4.931680 0.837454 7.908306 y_temp_base_t irri_need_1 y_temp_irri 0 7.958094 0.837454 7.938183 1 7.561807 0.837454 7.540154 2 7.738559 0.837454 7.721508 3 7.610054 0.837454 7.647000 5 7.872395 0.837454 7.826035 ... ... ... ... 1993 8.054614 0.837454 7.957525 1994 7.681917 0.837454 7.649035 1995 7.639415 0.837454 7.608856 1996 7.862778 0.837454 7.798237 1997 7.623575 0.837454 7.580939 [1146 rows x 20 columns] -4.09404712 0.8356570999999999 -0.10222283480325053 -0.682878195 0.0
# Filter rows where 'scenario' is equal to 1.5
data = results_lnfer[results_lnfer['scenario'] == 1.5]
# Calculate the mean of 'gap_production' within each unique combination of 'scenario' and 'geoid'
data['gap_fer']=(np.exp(data['lnfer_need'])-np.exp(data['lnfer']))/1000
print(data)
print(np.min(data['gap_fer']),np.max(data['gap_fer']),np.mean(data['gap_fer']))
print(np.percentile(data['gap_fer'], 5),np.percentile(data['gap_fer'], 95))
data.loc[data['gap_fer'] > 0.21, 'gap_fer'] = 0.21
data.loc[data['gap_fer'] < -0.21, 'gap_fer'] = -0.21
data['geoid'] = data['geoid'].astype(float)
# Load US county boundaries shapefile using geopandas
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_county_20m/surface_shapefile.shp'
gdf_county = gpd.read_file(shapefile_path)
# Ensure 'GEOID' column in the shapefile has the 'object' data type
gdf_county['GEOID'] = gdf_county['GEOID'].astype(float)
# Rename the 'geoid' column to 'GEOID' in year_2020_data
data.rename(columns={'geoid': 'GEOID'}, inplace=True)
# Convert the 'GEOID' column in the 'data' DataFrame to 'object' data type
data['GEOID'] = data['GEOID'].astype(float)
# Now, merge 'data' with county boundaries based on 'GEOID' attribute
merged_data = gdf_county.merge(data, on='GEOID', how='left')
# Filter the data to include only geometries within the specified longitude and latitude range
filtered_data = merged_data.cx[-130:-60, 25:50]
cmap = mcolors.ListedColormap(['white'] + list(plt.cm.seismic_r(np.linspace(0, 1, 255))))
norm = mcolors.Normalize(vmin=-0.22, vmax=0.22)
# Plot both county boundaries and 'y_temp' values on the same map within the specified range
fig, ax = plt.subplots(figsize=(10, 4))
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_state_20m/cb_2018_us_state_20m.shp'
gdf_state = gpd.read_file(shapefile_path)
gdf_state.rename(columns={'GEOID': 'GEOID_state'}, inplace=True)
gdf_state = gdf_state.cx[-130:-60, 25:50]
gdf_state.boundary.plot(ax=ax, linewidth=0.3, color='grey') # Plot county boundaries in grey
sc = plt.scatter([], [], c=[], cmap=cmap, norm=norm) # Create an empty ScalarMappable for the colorbar
# Define custom colorbar ticks
custom_ticks = [-0.2, -0.1, 0, 0.1, 0.2]
# Adjust the height of the colorbar by setting the shrink parameter
cbar = plt.colorbar(sc, ax=ax, label='N input (tonnes/ha/yr)', orientation='vertical', pad=-0.02, shrink=0.8, ticks=custom_ticks)
# Set the font size of the colorbar label
# Set the colorbar label text, font size, and padding
cbar.ax.set_ylabel('N input (tonne/ha/yr)', fontsize=16, fontfamily='Arial')
cbar.ax.tick_params(labelsize=16) # Adjust tick label fontsize
cbar.ax.set_yticklabels(custom_ticks, fontsize=16, fontfamily='Arial')
filtered_data.plot(column='gap_fer', cmap=cmap, ax=ax, norm=norm)
# Add labels, titles, or other plot configurations as needed
ax.set_xticks([]) # Remove x-axis ticks
ax.set_yticks([]) # Remove y-axis ticks
ax.set_frame_on(False) # Turn off the frame
plt.text(0.25, 0.2, '(c) Soybean', transform=plt.gcf().transFigure,
fontsize=18, fontweight='bold', fontfamily='Arial', ha='left', va='bottom')
# Save the entire figure as a JPG with DPI 300
plt.savefig('off_soybean_fer_15.png', format='png',
dpi=300, bbox_inches='tight', pad_inches=0.1, transparent=True)
# Show the plot
plt.show()
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3578493828.py:5: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['gap_fer']=(np.exp(data['lnfer_need'])-np.exp(data['lnfer']))/1000 /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3578493828.py:15: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['geoid'] = data['geoid'].astype(float) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3578493828.py:26: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data.rename(columns={'geoid': 'GEOID'}, inplace=True) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/3578493828.py:29: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['GEOID'] = data['GEOID'].astype(float)
tmp pre lnfer irrigation1 y_temp_base2015 \ 0 25.099590 6.254395 2.457656 0.377088 7.871762 2 26.261318 9.274925 1.292553 0.738441 7.599898 4 25.408514 6.727813 2.114730 0.028216 7.821125 6 23.976584 6.790346 4.361742 0.056342 8.285447 8 25.246212 6.448847 4.858469 0.030586 8.201724 ... ... ... ... ... ... 1989 27.663632 6.442080 2.015563 0.000000 7.863435 1991 22.704868 6.240907 3.982144 0.000000 8.503382 1993 22.617856 6.753251 3.697080 0.000000 8.499517 1995 20.956338 7.018248 3.798184 0.000000 8.457635 1996 22.735782 6.657891 1.348576 0.000000 8.031712 y_temp_base_t geoid scenario lnyield_obs har lnfer_need \ 0 7.846458 1001 1.5 7.509678 779.625 2.667937 2 7.590898 1003 1.5 7.927428 6358.433 1.404700 4 7.807509 1005 1.5 8.161582 526.500 2.215152 6 8.252038 1009 1.5 7.840701 1107.736 4.611183 8 8.183765 1011 1.5 7.984614 870.750 4.990935 ... ... ... ... ... ... ... 1989 7.794389 48481 1.5 7.793029 4401.709 2.355986 1991 8.485417 51049 1.5 7.653916 753.030 4.078495 1993 8.465001 51103 1.5 8.077533 2916.000 3.877447 1995 8.455265 51141 1.5 7.902284 243.000 3.812177 1996 8.009433 51159 1.5 7.841456 5668.211 1.464794 gap_fer 0 0.002733 2 0.000432 4 0.000875 6 0.022210 8 0.018247 ... ... 1989 0.003044 1991 0.005425 1993 0.007971 1995 0.000629 1996 0.000475 [852 rows x 12 columns] 1.6115767952669113e-06 0.5174582728124076 0.009025892207889354 8.720033687829001e-05 0.0372150808838462
# Filter rows where 'scenario' is equal to 3.0
data = results_lnfer[results_lnfer['scenario'] == 3]
# Calculate the mean of 'gap_production' within each unique combination of 'scenario' and 'geoid'
data['gap_fer']=(np.exp(data['lnfer_need'])-np.exp(data['lnfer']))/1000
print(data)
print(np.min(data['gap_fer']),np.max(data['gap_fer']),np.mean(data['gap_fer']))
print(np.percentile(data['gap_fer'], 5),np.percentile(data['gap_fer'], 95))
data.loc[data['gap_fer'] > 0.21, 'gap_fer'] = 0.21
data.loc[data['gap_fer'] < -0.21, 'gap_fer'] = -0.21
data['geoid'] = data['geoid'].astype(float)
# Load US county boundaries shapefile using geopandas
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_county_20m/surface_shapefile.shp'
gdf_county = gpd.read_file(shapefile_path)
# Ensure 'GEOID' column in the shapefile has the 'object' data type
gdf_county['GEOID'] = gdf_county['GEOID'].astype(float)
# Rename the 'geoid' column to 'GEOID' in year_2020_data
data.rename(columns={'geoid': 'GEOID'}, inplace=True)
# Convert the 'GEOID' column in the 'data' DataFrame to 'object' data type
data['GEOID'] = data['GEOID'].astype(float)
# Now, merge 'data' with county boundaries based on 'GEOID' attribute
merged_data = gdf_county.merge(data, on='GEOID', how='left')
# Filter the data to include only geometries within the specified longitude and latitude range
filtered_data = merged_data.cx[-130:-60, 25:50]
cmap = mcolors.ListedColormap(['white'] + list(plt.cm.seismic_r(np.linspace(0, 1, 255))))
norm = mcolors.Normalize(vmin=-0.22, vmax=0.22)
# Plot both county boundaries and 'y_temp' values on the same map within the specified range
fig, ax = plt.subplots(figsize=(10, 4))
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_state_20m/cb_2018_us_state_20m.shp'
gdf_state = gpd.read_file(shapefile_path)
gdf_state.rename(columns={'GEOID': 'GEOID_state'}, inplace=True)
gdf_state = gdf_state.cx[-130:-60, 25:50]
gdf_state.boundary.plot(ax=ax, linewidth=0.3, color='grey') # Plot county boundaries in grey
sc = plt.scatter([], [], c=[], cmap=cmap, norm=norm) # Create an empty ScalarMappable for the colorbar
# Define custom colorbar ticks
custom_ticks = [-0.2, -0.1, 0, 0.1, 0.2]
# Adjust the height of the colorbar by setting the shrink parameter
cbar = plt.colorbar(sc, ax=ax, label='N input (tonnes/ha/yr)', orientation='vertical', pad=-0.02, shrink=0.8, ticks=custom_ticks)
# Set the font size of the colorbar label
# Set the colorbar label text, font size, and padding
cbar.ax.set_ylabel('N input (tonne/ha/yr)', fontsize=16, fontfamily='Arial')
cbar.ax.tick_params(labelsize=16) # Adjust tick label fontsize
cbar.ax.set_yticklabels(custom_ticks, fontsize=16, fontfamily='Arial')
filtered_data.plot(column='gap_fer', cmap=cmap, ax=ax, norm=norm)
# Add labels, titles, or other plot configurations as needed
ax.set_xticks([]) # Remove x-axis ticks
ax.set_yticks([]) # Remove y-axis ticks
ax.set_frame_on(False) # Turn off the frame
plt.text(0.25, 0.2, '(d) Soybean', transform=plt.gcf().transFigure,
fontsize=18, fontweight='bold', fontfamily='Arial', ha='left', va='bottom')
# Save the entire figure as a JPG with DPI 300
plt.savefig('off_soybean_fer_3.png', format='png',
dpi=300, bbox_inches='tight', pad_inches=0.1, transparent=True)
# Show the plot
plt.show()
/var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/1754602407.py:5: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['gap_fer']=(np.exp(data['lnfer_need'])-np.exp(data['lnfer']))/1000 /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/1754602407.py:14: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['geoid'] = data['geoid'].astype(float) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/1754602407.py:24: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data.rename(columns={'geoid': 'GEOID'}, inplace=True) /var/folders/vd/0_phd7hx2n51y4412862zww00000gp/T/ipykernel_2258/1754602407.py:27: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy data['GEOID'] = data['GEOID'].astype(float)
tmp pre lnfer irrigation1 y_temp_base2015 \ 1 26.784940 6.208599 2.457656 0.377088 7.871762 3 27.808318 8.926058 1.292553 0.738441 7.599898 5 27.067738 6.742623 2.114730 0.028216 7.821125 7 25.706190 6.658286 4.361742 0.056342 8.285447 9 26.923034 6.491163 4.858469 0.030586 8.201724 ... ... ... ... ... ... 1988 29.057906 5.624428 0.287418 0.000000 7.483895 1990 29.078382 6.321736 2.015563 0.000000 7.863435 1992 24.578756 6.202993 3.982144 0.000000 8.503382 1994 24.369986 6.937165 3.697080 0.000000 8.499517 1997 24.547064 6.747815 1.348576 0.000000 8.031712 y_temp_base_t geoid scenario lnyield_obs har lnfer_need \ 1 7.622792 1001 3.0 7.509678 779.625 4.505245 3 7.351790 1003 3.0 7.927428 6358.433 4.202620 5 7.574791 1005 3.0 8.161582 526.500 3.930603 7 8.067909 1009 3.0 7.840701 1107.736 5.982833 9 7.957275 1011 3.0 7.984614 870.750 6.660717 ... ... ... ... ... ... ... 1988 7.255714 48469 3.0 7.699628 2669.529 1.551669 1990 7.604456 48481 3.0 7.793029 4401.709 3.383518 1992 8.443910 51049 3.0 7.653916 753.030 4.277212 1994 8.441412 51103 3.0 8.077533 2916.000 3.975355 1997 7.935400 51159 3.0 7.841456 5668.211 1.812194 gap_fer 1 0.078813 3 0.063219 5 0.042650 7 0.318169 9 0.652284 ... ... 1988 0.003386 1990 0.021969 1992 0.018407 1994 0.012940 1997 0.002272 [1146 rows x 12 columns] 2.8660999604701586e-06 4.302983035950181 0.08318529908593147 0.00042777415800521743 0.36307561938201366
# Filter rows where 'scenario' is equal to 1.5
excel_file = "off_soybean_mana_lnfer_irri.csv"
data = pd.read_csv(excel_file)
data = data[data['scenario'] == 1.5]
data['gap_fer']=data['gap_fer']/1000
print(data)
print(np.min(data['gap_fer']),np.max(data['gap_fer']),np.mean(data['gap_fer']))
print(np.percentile(data['gap_fer'], 5),np.percentile(data['gap_fer'], 95))
data.loc[data['gap_fer'] > 0.21, 'gap_fer'] = 0.21
data.loc[data['gap_fer'] < -0.21, 'gap_fer'] = -0.21
data['geoid'] = data['geoid'].astype(float)
# Load US county boundaries shapefile using geopandas
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_county_20m/surface_shapefile.shp'
gdf_county = gpd.read_file(shapefile_path)
# Ensure 'GEOID' column in the shapefile has the 'object' data type
gdf_county['GEOID'] = gdf_county['GEOID'].astype(float)
# Rename the 'geoid' column to 'GEOID' in year_2020_data
data.rename(columns={'geoid': 'GEOID'}, inplace=True)
# Convert the 'GEOID' column in the 'data' DataFrame to 'object' data type
data['GEOID'] = data['GEOID'].astype(float)
# Now, merge 'data' with county boundaries based on 'GEOID' attribute
merged_data = gdf_county.merge(data, on='GEOID', how='left')
# Filter the data to include only geometries within the specified longitude and latitude range
filtered_data = merged_data.cx[-130:-60, 25:50]
cmap = mcolors.ListedColormap(['white'] + list(plt.cm.seismic_r(np.linspace(0, 1, 255))))
norm = mcolors.Normalize(vmin=-0.22, vmax=0.22)
# Plot both county boundaries and 'y_temp' values on the same map within the specified range
fig, ax = plt.subplots(figsize=(10, 4))
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_state_20m/cb_2018_us_state_20m.shp'
gdf_state = gpd.read_file(shapefile_path)
gdf_state.rename(columns={'GEOID': 'GEOID_state'}, inplace=True)
gdf_state = gdf_state.cx[-130:-60, 25:50]
gdf_state.boundary.plot(ax=ax, linewidth=0.3, color='grey') # Plot county boundaries in grey
sc = plt.scatter([], [], c=[], cmap=cmap, norm=norm) # Create an empty ScalarMappable for the colorbar
# Define custom colorbar ticks
custom_ticks = [-0.2, -0.1, 0, 0.1, 0.2]
# Adjust the height of the colorbar by setting the shrink parameter
cbar = plt.colorbar(sc, ax=ax, label='N input (tonnes/ha/yr)', orientation='vertical', pad=-0.02, shrink=0.8, ticks=custom_ticks)
# Set the font size of the colorbar label
# Set the colorbar label text, font size, and padding
cbar.ax.set_ylabel('N input (tonne/ha/yr)', fontsize=16, fontfamily='Arial')
cbar.ax.tick_params(labelsize=16) # Adjust tick label fontsize
cbar.ax.set_yticklabels(custom_ticks, fontsize=16, fontfamily='Arial')
filtered_data.plot(column='gap_fer', cmap=cmap, ax=ax, norm=norm)
# Add labels, titles, or other plot configurations as needed
ax.set_xticks([]) # Remove x-axis ticks
ax.set_yticks([]) # Remove y-axis ticks
ax.set_frame_on(False) # Turn off the frame
plt.text(0.25, 0.2, '(g) Soybean', transform=plt.gcf().transFigure,
fontsize=18, fontweight='bold', fontfamily='Arial', ha='left', va='bottom')
# Save the entire figure as a JPG with DPI 300
plt.savefig('off_soybean_mana_fer_15.png', format='png',
dpi=300, bbox_inches='tight', pad_inches=0.1, transparent=True)
# Show the plot
plt.show()
tmp pre lnfer irrigation1 y_temp mana_group geoid \ 4 21.297634 6.267068 -0.046396 0.001389 7.763110 1 17067 6 23.368236 7.039531 2.480696 0.042775 8.064906 1 37045 8 20.636286 5.911292 1.265328 0.007367 7.910679 1 17075 11 24.389220 8.362195 1.247938 0.009316 7.846596 1 37031 13 21.414218 5.922644 0.748695 0.001327 7.844605 1 17107 ... ... ... ... ... ... ... ... 1979 23.881700 6.681210 6.281323 0.091063 8.549590 3 1059 1981 25.374776 6.487229 6.026028 0.058274 8.366090 3 1063 1983 25.375840 6.385456 6.055595 0.081476 8.357682 3 1065 1988 23.976584 6.790346 4.361742 0.056342 8.285447 3 1009 1992 23.975426 6.860577 4.369129 0.149384 8.278050 3 1043 scenario lnyield_obs scenario.1 har gap_fer gap_irrigation \ 4 1.5 8.213926 1.5 58447.890 0.000110 -0.001366 6 1.5 7.648014 1.5 5522.715 0.000516 -0.042751 8 1.5 8.143628 1.5 108519.700 0.000176 -0.007344 11 1.5 7.732798 1.5 8839.125 0.000144 -0.009292 13 1.5 8.279940 1.5 53825.450 0.000184 -0.001303 ... ... ... ... ... ... ... 1979 1.5 7.841934 1.5 1782.427 0.230463 0.000000 1981 1.5 7.382296 1.5 931.500 0.157743 0.000000 1983 1.5 7.649490 1.5 1608.660 0.156286 0.000000 1988 1.5 7.840701 1.5 1107.736 0.022210 0.000000 1992 1.5 7.978103 1.5 2906.246 0.027754 0.000000 lnfer_need lnfer_values irri_need y_temp_base2015 y_temp_base_t \ 4 0.062503 0.063104 0.235000 7.763110 7.748190 6 2.551202 2.522963 0.837454 8.064906 8.055423 8 1.313912 1.313850 NaN 7.910679 7.904037 11 1.290816 1.288370 0.837454 7.846596 7.840749 13 0.831943 0.832166 0.455000 7.844605 7.833198 ... ... ... ... ... ... 1979 6.639821 6.639821 0.837454 8.549590 8.502215 1981 6.348807 6.348807 0.837454 8.366090 8.322773 1983 6.367807 6.367807 0.837454 8.357682 8.316101 1988 4.611183 4.611183 0.837454 8.285447 8.252038 1992 4.670287 4.670287 0.837454 8.278050 8.239287 irri_need_1 y_temp_irri 4 0.235000 7.763084 6 0.837454 7.993940 8 0.837454 7.903477 11 0.837454 7.816472 13 0.455000 7.844601 ... ... ... 1979 0.837454 8.318906 1981 0.837454 8.162960 1983 0.837454 8.166404 1988 0.837454 8.127237 1992 0.837454 8.128134 [852 rows x 20 columns] -0.2769264724031997 0.5174582728124076 0.006923248550680371 -0.000290229304400566 0.029732596439108423
# Filter rows where 'scenario' is equal to 3.0
excel_file = "off_soybean_mana_lnfer_irri.csv"
data = pd.read_csv(excel_file)
data = data[data['scenario'] == 3]
data['gap_fer']=data['gap_fer']/1000
print(np.min(data['gap_fer']),np.max(data['gap_fer']),np.mean(data['gap_fer']))
print(np.percentile(data['gap_fer'], 5),np.percentile(data['gap_fer'], 95))
data.loc[data['gap_fer'] > 0.21, 'gap_fer'] = 0.21
data.loc[data['gap_fer'] < -0.21, 'gap_fer'] = -0.21
data['geoid'] = data['geoid'].astype(float)
# Load US county boundaries shapefile using geopandas
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_county_20m/surface_shapefile.shp'
gdf_county = gpd.read_file(shapefile_path)
# Ensure 'GEOID' column in the shapefile has the 'object' data type
gdf_county['GEOID'] = gdf_county['GEOID'].astype(float)
# Rename the 'geoid' column to 'GEOID' in year_2020_data
data.rename(columns={'geoid': 'GEOID'}, inplace=True)
# Convert the 'GEOID' column in the 'data' DataFrame to 'object' data type
data['GEOID'] = data['GEOID'].astype(float)
# Now, merge 'data' with county boundaries based on 'GEOID' attribute
merged_data = gdf_county.merge(data, on='GEOID', how='left')
# Filter the data to include only geometries within the specified longitude and latitude range
filtered_data = merged_data.cx[-130:-60, 25:50]
cmap = mcolors.ListedColormap(['white'] + list(plt.cm.seismic_r(np.linspace(0, 1, 255))))
norm = mcolors.Normalize(vmin=-0.22, vmax=0.22)
# Plot both county boundaries and 'y_temp' values on the same map within the specified range
fig, ax = plt.subplots(figsize=(10, 4))
shapefile_path = '/Users/chenchenren/postdoc/paper/2N and water-US/Data/cb_2018_us_state_20m/cb_2018_us_state_20m.shp'
gdf_state = gpd.read_file(shapefile_path)
gdf_state.rename(columns={'GEOID': 'GEOID_state'}, inplace=True)
gdf_state = gdf_state.cx[-130:-60, 25:50]
gdf_state.boundary.plot(ax=ax, linewidth=0.3, color='grey') # Plot county boundaries in grey
sc = plt.scatter([], [], c=[], cmap=cmap, norm=norm) # Create an empty ScalarMappable for the colorbar
# Define custom colorbar ticks
custom_ticks = [-0.2, -0.1, 0, 0.1, 0.2]
# Adjust the height of the colorbar by setting the shrink parameter
cbar = plt.colorbar(sc, ax=ax, label='N input (tonnes/ha/yr)', orientation='vertical', pad=-0.02, shrink=0.8, ticks=custom_ticks)
# Set the font size of the colorbar label
# Set the colorbar label text, font size, and padding
cbar.ax.set_ylabel('N input (tonne/ha/yr)', fontsize=16, fontfamily='Arial')
cbar.ax.tick_params(labelsize=16) # Adjust tick label fontsize
cbar.ax.set_yticklabels(custom_ticks, fontsize=16, fontfamily='Arial')
filtered_data.plot(column='gap_fer', cmap=cmap, ax=ax, norm=norm)
# Add labels, titles, or other plot configurations as needed
ax.set_xticks([]) # Remove x-axis ticks
ax.set_yticks([]) # Remove y-axis ticks
ax.set_frame_on(False) # Turn off the frame
plt.text(0.25, 0.2, '(h) Soybean', transform=plt.gcf().transFigure,
fontsize=18, fontweight='bold', fontfamily='Arial', ha='left', va='bottom')
# Save the entire figure as a JPG with DPI 300
plt.savefig('off_soybean_mana_fer_3.png', format='png',
dpi=300, bbox_inches='tight', pad_inches=0.1, transparent=True)
# Show the plot
plt.show()
-0.17814073595870636 4.302983035950181 0.07332297895275802 0.00039066123990304745 0.3054000611491717