Large Data Comparison for Python¶
ldcpy is a utility for gathering and plotting metrics from NetCDF or Zarr files using the Pangeo stack. It also contains a number of statistical and visual tools for gathering metrics and comparing Earth System Model data files.
| AUTHORS: | Alex Pinard, Allison Baker, Dorit Hammerling |
|---|---|
| COPYRIGHT: | 2020 University Corporation for Atmospheric Research |
| LICENSE: | Apache 2.0 |
Documentation and usage examples are available here.
Installation using Conda (recommended)¶
Ensure conda is up to date and create a clean Python (3.6+) environment:
conda update conda
conda create --name ldcpy python=3.8
conda activate ldcpy
Now install ldcpy:
conda install -c conda-forge ldcpy
Alternative Installation¶
Ensure pip is up to date, and your version of python is at least 3.6:
pip install --upgrade pip
python --version
Install cartopy using the instructions provided at https://scitools.org.uk/cartopy/docs/latest/installing.html.
Then install ldcpy:
pip install ldcpy
Accessing the tutorial¶
If you want access to the tutorial notebook, clone the repository (this will create a local repository in the current directory):
git clone https://github.com/NCAR/ldcpy.git
Start by enabling Hinterland for code completion and code hinting in Jupyter Notebook and then opening the tutorial notebook:
jupyter nbextension enable hinterland/hinterland
jupyter notebook
The tutorial notebook can be found in docs/source/notebooks/SampleNotebook.ipynb, feel free to gather your own metrics or create your own plots in this notebook!
Documentation¶
Contents: