Metadata-Version: 2.4
Name: ecco_plot_widget
Version: 1.0.0
Summary: A plotting utility for ECCOv4 using Jupyter widgets
Project-URL: Homepage, https://github.com/2tommyfrank/ecco-plot-widget
Project-URL: Issues, https://github.com/2tommyfrank/ecco-plot-widget/issues
Author-email: Tommy Frank <2tommyfrank@gmail.com>
License-Expression: MIT
License-File: LICENSE
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.12
Requires-Dist: ecco-v4-py
Requires-Dist: ipympl>=0.9.4
Requires-Dist: ipython>=8.26.0
Requires-Dist: ipywidgets>=8.1.3
Requires-Dist: matplotlib>=3.8.4
Requires-Dist: numpy>=1.26.4
Requires-Dist: pandas>=2.2.2
Requires-Dist: requests>=2.32.3
Requires-Dist: xarray>=2024.6.0
Requires-Dist: xgcm>=0.7.0
Description-Content-Type: text/markdown

# [ECCOv4](https://github.com/ECCO-GROUP/ECCOv4-py) plotting utility with Jupyter widgets

The `plot_select(c, u, v)` function produces widgets to make a customizable
plot of up to three xarray DataArrays on one figure. The `c` array gets plotted
using color, while the `u` and `v` arrays get plotted using arrows.

The `plot_utility()` function provides another layer of widgets to select the
inputs to `plot_select` directly from the ECCOv4 output on PODAAC.

Both functions require a login to NASA Earthdata in a .netrc file, and use the
`%matplotlib ipympl` backend.