Feature 383 tcmpr doc test

[bikegeek]

Pull Request Testing

• Describe testing already performed for these changes:
  

  on host 'seneca':
  /d1/projects/TCMPR_TCDIAG

  generated multiple plot types within one config file and single plot type within one config file

• Recommend testing for the reviewer(s) to perform, including the location of input datasets, and any additional instructions:
  

1. follow instructions in User's Guide:

https://metplotpy.readthedocs.io/en/feature_383_tcmpr_doc_test/Users_Guide/tcmpr_plots.html

Work in /d1/projects/TCMPR_TCDIAG and run the setup_env.bash script to set up the environments

2. Set up:

Instructions based on working/testing on 'seneca'

• clone the feature_383_tcmpr_doc_test branch of METplotpy

• clone the develop branch of METcalcpy

  • if working on 'seneca', use this environment:

    /d1/personal/mwin/miniconda3/envs/mp_analysis_env

3. Run the tests in $METPLOTPY/test/tcmpr_plots/
   pytest test_tcmpr_plots.py

4. Using the config file under $METPLOTPY/test/tcmpr_plots/tcmpr_multi_plots.yaml
   set these to appropriate locations:

log_filename: '/path/to/log/output/tcmpr_log.out'
baseline_file: 'path/to/metplotpy/plots/tcmpr_plots/hfip_baseline.dat'
column_info_file: 'path/to/metplotpy/plots/tcmpr_plots/plot_tcmpr_hdr.dat'
tcst_dir: '/path/to/tcmpr_sample_data'

The baseline_file and column_info_file files are in the $METPLOTPY/metplotpy/plot/tcmpr_plots directory

5. Generate the following plots:
   boxplot
   mean skill
   median skill
   relative performance
   mean
   median
   rank

python $METPLOTPY_BASE/metplotpy/plots/tcmpr_plots/tcmpr.py /path/to/tcmpr_multi_plots.yaml

• Do these changes include sufficient documentation updates, ensuring that no errors or warnings exist in the build of the documentation? [Yes]

• Do these changes include sufficient testing updates? [Yes ]

• Will this PR result in changes to the test suite? [No]
  
  If yes, describe the new output and/or changes to the existing output:
  

• [?] Do these changes introduce new SonarQube findings? [Yes or No]
  
  If yes, please describe:

• Please complete this pull request review by [At earliest convenience].
  

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[hankenstein2]

Ran the tests on seneca, all plots appeared as expected and test passed