{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"##this script will take a dataframe and generate a KDE plot with medians\n",
"## Venice Servellita 2022-01-09"
]
},
{
"cell_type": "code",
"execution_count": 144,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import matplotlib.font_manager\n",
"%matplotlib inline\n",
"import seaborn as sns\n",
"from datetime import datetime\n",
"import matplotlib.dates as mdates\n",
"plt.rcParams['svg.fonttype'] = 'none'\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"sns.set()"
]
},
{
"cell_type": "code",
"execution_count": 145,
"metadata": {},
"outputs": [],
"source": [
"data1 = pd.read_csv(\"data1.csv\")\n",
"df_1 = pd.DataFrame(data=data1)"
]
},
{
"cell_type": "code",
"execution_count": 146,
"metadata": {},
"outputs": [
{
"data": {
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