pmcpy: A Python package for PartMC post-processing
pmcpy is a Python package for PartMC post-processing.
Author: Dr. Zhonghua Zheng
Installation
Step 1: create an environment:
$ conda create -n pmcpy python=3.8 $ conda activate pmcpy $ conda install -c conda-forge numpy pandas xarray netcdf4
Step 2: install using pip:
$ pip install pmcpy
(optional) install from source:
$ git clone https://github.com/zzheng93/pmcpy.git $ cd pmcpy $ python setup.py install
How to use it?
You may reproduce the jupyter notebook example on Binder.
Please check online documentation (or Read the Docs version) for more information.
How to ask for help
The GitHub issue tracker is the primary place for bug reports.
Release files for pmcpy 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pmcpy-0.0.3.tar.gz | 5.3 kB | Without provenance | Details |
Release files / pmcpy-0.0.3.tar.gz
| Download URL | pmcpy-0.0.3.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
16a531cabab543b75cc05ef3cc017e12c5237b2f17605c85d499085e9ee0f731
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BLAKE2b-256 checksum How to use checksums |
a8ba9c31b4fcc76d2c17b78dde158e7bfea28ea22d86b9eb1759bb7dda02d9e4
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No |
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twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
|
Security for pmcpy 0.0.3
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