An easy to use Python (3.6 and above) package for quickly plotting the contents of NetCDF files or xarray datasets in Python or on the command line.
This package is designed to work with CF compliant NetCDF data.
To install from conda:
conda install -c conda-forge ncplot
To install from pypi:
pip install ncplot
Install the development version using using pip:
pip install git+https://github.com/pmlmodelling/ncplot.git
The package is made up of a simple and easy to use function: view. To visualize everything in a file:
from ncplot import view
view("example.nc")
or to visualize a specific variable or list of variables:
from ncplot import view
view("example.nc", vars)
where vars is either a string representing a variable or a list of variables.
If you want to plot xarray datasets dataarrays, first import the xarray accessor, then plot in a similar way to xarray's built in plotting method:
import ncplot.xarray
import xarray as xr
ds = xr.open_dataset("example.nc")
ds.ncplot.view()
Command line usage is as simple as:
ncplot example.nc
A full API reference, and a how-to guide are available at readthedocs.