Matplotlib Example

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
35/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Stale
Tech stack
python
Domain
data-visualization, documentation

Research direction

Start with basemap/users/figures/plotprecip.py and compare its variables with the newer NetCDF file linked in the issue. Check the referenced Matplotlib issue for context, then update the sample so its data fields and units match the supported source and verify that the example runs.

Written by the indexing model from the issue text.

Description

Hello! ... I reported the following issue in the Matplotlib repo... and they said to bring it to your attention:

The Matplotlib Sample: "Plot Precip With Filled Contours"
https://matplotlib.org/basemap/users/examples.html

code source: https://matplotlib.org/basemap/users/figures/plotprecip.py

seems to be dated... I say "seems" because this is my first week of python! :)

Code for reproduction
The variables as specified in your code do not seem to exist:
latcorners = nc.variables['lat'][:]
loncorners = -nc.variables['lon'][:]
lon_0 = -nc.variables['true_lon'].getValue()
lat_0 = nc.variables['true_lat'].getValue()

I'm guessing because that data is from 2006 and something has changed since then :)

I have been failing with new data located here:
http://water.weather.gov/precip/downloads/2018/01/24/nws_precip_1day_20180124_conus.nc

surely there is a way for matplotlib to cull the information needed from the file? if not I figure I'll do the long math..

use your code located here
code source: https://matplotlib.org/basemap/users/figures/plotprecip.py

but also notice that not only are the lat lon variables present, your variable:
prcpvar = nc.variables['amountofprecip']

will need to be adjusted to prcpvar = nc.variables['observation']

and the units are now inches instead of mm.

Here is the issue I submitted to matplotlib:
https://github.com/matplotlib/matplotlib/issues/10318

Dominant language
Python
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