Plot categories changed in 0.4.0

My apologies if this was raised before, I haven’t had the time to do a proper issue search.

The following code used to create a multicolor plot in geopandas 0.3.0 but not 0.4.0 (or master).

Here the file: clusters.tar.gz

import geopandas as gpd
import matplotlib.pyplot as plt
import matplotlib

print(gpd.__version__)
print(matplotlib.__version__)
df = gpd.read_file('tar://clusters.tar.gz')
df.plot(column='cluster_id', edgecolor='k', cmap='YlOrRd');

Outputs:

0.4.0
3.0.2

/home/mowglie/.pyvirtualenvs/py3/lib/python3.5/site-packages/numpy/core/_methods.py:32: RuntimeWarning: invalid value encountered in reduce
  return umr_minimum(a, axis, None, out, keepdims, initial)
/home/mowglie/.pyvirtualenvs/py3/lib/python3.5/site-packages/numpy/core/_methods.py:28: RuntimeWarning: invalid value encountered in reduce
  return umr_maximum(a, axis, None, out, keepdims, initial)
/home/mowglie/.pyvirtualenvs/py3/lib/python3.5/site-packages/matplotlib/colors.py:512: RuntimeWarning: invalid value encountered in less
  xa[xa < 0] = -1

And in 0.3:

0.3.0
3.0.2

/home/mowglie/.pyvirtualenvs/py3/lib/python3.5/site-packages/matplotlib/colors.py:512: RuntimeWarning: invalid value encountered in less
  xa[xa < 0] = -1

[martinfleis]

Got it. mn = values.min() if vmin is None else vmin and mx = values.max() if vmax is None else vmax are both returning nan. That’s why it does not plot colours - it is passing range from nan to nan. Previous version was passing Series, which ignores NaNs in min() and max(). Now it is passing numpy array which returns NaN for min() and max(), I’ll make PR to fix it.

[fmaussion]

sorry for not seeing that, too much on my plate right now -> removing NaNs also solves the plot.

It used to be more robust in geopandas v0.3, though. Should I leave the issue open?