matplotlib / matplotlib/basemap

South Polar Stereographic Projection not producing right plot

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Description

Hi,

This may be a followup of a previous closed issue (https://github.com/matplotlib/basemap/issues/118).
I am making polar stereographic projection pcolormesh plots of some sea ice data. It works fine with the Northern Hemisphere, but produces solid color for the South.
The problem was replicated on both Linux and Windows with different versions of Python, numpy, matplotlib and basemap. I am using basemap-1.1.0 with matplotlib-1.5.3 in winpython-3.5 on Windows 10 to produced the following figures.
Here is an example script:

from netCDF4 import Dataset
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import array
import matplotlib.cm as cm
from mpl_toolkits.basemap import Basemap
import glob
import struct
import datetime
import time
import sys
from pylab import *


POLE=sys.argv[3]
fname=sys.argv[1]
fld=sys.argv[2]
print(fname)
ncfile = Dataset(fname, 'r', format='NETCDF4')
fbot=ncfile.variables[fld][0]
if 'lon' in ncfile.variables:
    LON=ncfile.variables['lon'][:]
if 'lon_scaler' in ncfile.variables:
    LON=ncfile.variables['lon_scaler'][:]    
if 'LON' in ncfile.variables:
    LON=ncfile.variables['LON'][:]
if 'lat' in ncfile.variables:
    LAT=ncfile.variables['lat'][:]
if 'lat_scaler' in ncfile.variables:
    LAT=ncfile.variables['lat_scaler'][:]    
if 'LAT' in ncfile.variables:
    LAT=ncfile.variables['LAT'][:]
if 'kmt' in ncfile.variables:
    kmt=ncfile.variables['kmt'][:]

lon=LON
lat=LAT
    
if len(LON.shape) == 1:
    lon,lat=np.meshgrid(LON,LAT)

if 'kmt' in ncfile.variables:
    fbot=ma.masked_where(kmt<1, fbot)
    
ncfile.close()

meridians=[1,0,1,1]

fig=figure(figsize=(12,12), facecolor='w')

if  POLE=='N':
    m = Basemap(projection='npstere',lon_0=0,boundinglat=45)
if  POLE=='S':
    m = Basemap(projection='spstere',lon_0=180,boundinglat=-45)
m.drawcoastlines()
m.fillcontinents()
m.drawcountries()
plt.title(fld)
x, y =m(lon,lat)
m.pcolormesh(x,y,fbot,vmin=float(sys.argv[4]), vmax=float(sys.argv[5]))
m.drawparallels(np.arange(-90.,120.,15.),labels=[1,0,0,0]) # draw parallels
m.drawmeridians(np.arange(0.,420.,30.),labels=meridians) # draw meridians
plt.colorbar(orientation='vertical',extend='both',shrink=0.8)
plt.show()

A netcdf file to reproduce the problem can be downloaded here

ftp://pscftp.apl.washington.edu/zhang/Global_seaice/heff.H1987.nc.gz

Once untared, the following call to the above script (named plot_field_pole.py)

python plot_field_pole.py heff.H1987.nc heff S 0.0 3.0

will give the wrong plot.

ice_sh

while

python plot_field_pole.py heff.H1987.nc heff N 0.0 3.0

produced correct one.
ice_nh

The only difference between the two commands is Basemap(projection='spstere') or
Basemap(projection='npstere')

Any help will be much appreciated.

Bin Zhao

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by running plot_field_pole.py with heff.H1987.nc for both the S and N arguments, as described in the issue. Compare the Basemap spstere and npstere paths, focusing on the pcolormesh result. Done means the South Polar Stereographic projection produces a correctly colored plot rather than a solid color.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data-visualization
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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