CODEWITHSUNDEEP
pythonmacosnumpymatplotlibseaborn
w00dy
w00dy

Reputation: 758

Seaborn matplotlib: Cannot get window extent w/o renderer (RuntimeError)

I'm trying to plot a seaborn clustermap (it doesn't work with the heatmap too) with the following, no NaNs admitted:

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 is 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

Upvotes: 4

Views: 3688

Answers (1)

Warren Weckesser
Warren Weckesser

Reputation: 114911

I'm using Mac OS X 10.9.5, python 2.7.9, matplotlib 1.4.3, and seaborn 0.5.1. I was able to reproduce the error.

By default I am using the macosx backend 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()

Note that I commented out fig = plt.figure(). clustermap appears to create its own figure.

Upvotes: 5

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