Seaborn matplotlib:无法获取没有渲染器的窗口范围(RuntimeError)

时间:2015-05-09 08:59:32

标签: python macos numpy matplotlib seaborn

我正在尝试使用以下内容绘制 seaborn 群集图(它不能与热图一起使用),没有NaN承认:

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组建得很好:

   0  1
0  1  2
1  3  4

控制台输出:

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: 10.9 10.10.3(编辑
  • Seaborn:0.5.1
  • Matplotlib:1.3.1(刚刚从1.4降级)
  • Numpy:1.8.0
  • Python:2.7.9

1 个答案:

答案 0 :(得分:5)

我使用的是Mac OS X 10.9.5,python 2.7.9,matplotlib 1.4.3和seaborn 0.5.1。我能够重现错误。

默认情况下,我使用matplotlib的macosx后端。如果我将后端更改为qt4agg(需要PyQt4),tkaggwebagg,则代码可以正常工作。这是适用于我的脚本:

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()

请注意,我评论了fig = plt.figure()clustermap似乎创造了自己的身材。