# METcalcpy
Provides libraries for the following: calculation of statistics, pre-processing input, and performing diagnostics for METviewer,
METexpress, and the plotting scripts in METplotpy.
Please see the [METcalcpy User's Guide](https://metcalcpy.readthedocs.io/en/latest) for more information.
Support for the METplus components is provided through the
[METplus Discussions](https://github.com/dtcenter/METplus/discussions) forum.
Users are welcome and encouraged to answer or address each other's questions there! For more
information, please read
"[Welcome to the METplus Components Discussions](https://github.com/dtcenter/METplus/discussions/939)".
For information about the support provided for releases, see our [Release Support Policy](https://metplus.readthedocs.io/en/develop/Release_Guide/index.html#release-support-policy).
Instructions for installing the metcalcpy package locally
---------------------------------------------------------
- activate your conda environment (i.e. 'conda activate your-conda-env-name')
- from within your active conda environment, cd to the METcalcpy/ directory, where you will see the setup.py script
- from this directory, run the following on the command line: pip install -e .
- the -e option stands for editable, which is useful in that you can update your METcalcpy/metcalcpy source without reinstalling it
- the . indicates that you should search the current directory for the setup.py script
- use metcalcpy package via import statement:
- Examples:
- import metcalcpy.util.ctc_statistics as cstats
- to use the functions in the ctc_statistics module
Instructions for installing the metcalcpy package from PyPI
-----------------------------------------------------------
- activate your Python 3.10+ conda environment
- run the following from the command line:
- pip install metcalcpy==x.y.z where x.y.z is the version number of interest
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