pyam: analysis and visualization of integrated-assessment and macro-energy scenarios

Release v1.3.0 Highlights

• Implement a compute module for derived timeseries indicators
• Add a diff() method similar to the corresponding pandas.DataFrame.diff()
• Improve error reporting on IamDataFrame initialization

• #608 The method assert_iamframe_equals() passes if an all-nan-col is present
• #604 Add an annualized-growth-rate method
• #602 Add a compute module/accessor and a learning-rate method
• #600 Add a diff() method
• #592 Fix for running in jupyter-lab notebooks
• #590 Update expected figures of plotting tests to use matplotlib 3.5
• #586 Improve error reporting for non-numeric data in any value column