Seaborn matplotlib: cannot get window size without rendering (RuntimeError)
I'm trying to build a nautical map of the clusters (it doesn't work with thermal insulation either) with the following, no NaNs recognized:
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
def plotClusterMap():
a = pd.DataFrame(np.matrix('1 2; 3 4'))
print a
fig = plt.figure()
sns.clustermap(a)
plt.show()
a
well formed:
0 1
0 1 2
1 3 4
Console output:
Traceback (most recent call last):
File "main.py", line 78, in <module>
main()
File "main.py", line 72, in main
heatmapPlotter.plotClusterMap()
File "/Users/username/code.py", line 12, in plotClusterMap
sns.clustermap(a)
File "/Library/Python/2.7/site-packages/seaborn/matrix.py", line 895, in clustermap
**kwargs)
File "/Library/Python/2.7/site-packages/seaborn/matrix.py", line 813, in plot
self.plot_matrix(colorbar_kws, mask, **kws)
File "/Library/Python/2.7/site-packages/seaborn/matrix.py", line 803, in plot_matrix
cbar_kws=colorbar_kws, mask=mask, **kws)
File "/Library/Python/2.7/site-packages/seaborn/matrix.py", line 292, in heatmap
plotter.plot(ax, cbar_ax, kwargs)
File "/Library/Python/2.7/site-packages/seaborn/matrix.py", line 177, in plot
if axis_ticklabels_overlap(xtl):
File "/Library/Python/2.7/site-packages/seaborn/utils.py", line 374, in axis_ticklabels_overlap
bboxes = [l.get_window_extent() for l in labels]
File "/usr/local/lib/python2.7/site-packages/matplotlib/text.py", line 796, in get_window_extent
raise RuntimeError('Cannot get window extent w/o renderer')
RuntimeError: Cannot get window extent w/o renderer
- Mac OSX:
10.910.10.3 (change) - Seaborn: 0.5.1
- Matplotlib: 1.3.1 (just downgraded since 1.4)
- Numpy: 1.8.0
- Python: 2.7.9
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I am using Mac OS X 10.9.5, python 2.7.9, matplotlib 1.4.3 and marine boats 0.5.1. I was able to reproduce the error.
By default I am using the backend macosx
for matplotlib. Your code works if I change the backend to qt4agg
(requires PyQt4), tkagg
or webagg
. Here's the script that worked for me:
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use('qt4agg') # Can also use 'tkagg' or 'webagg'
import matplotlib.pyplot as plt
import seaborn as sns
def plotClusterMap():
a = pd.DataFrame(np.matrix('1 2; 3 4'))
print a
# fig = plt.figure()
sns.clustermap(a)
plt.show()
if __name__ == "__main__":
plotClusterMap()
Please note that I have commented fig = plt.figure()
. clustermap
seems to be creating its own shape.
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