我正在尝试使用每个维度的直方图（使用Seaborn的JointGrid函数在上方和右侧）绘制散点图。
一个非常基本的例子：
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
x = np.random.rand(100)
y = np.random.rand(100)
sns.jointplot(x, y, color='r')
但是，我得到以下IndexError：
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-3-42ac8946b390> in <module>()
1 x = np.random.rand(100)
2 y = np.random.rand(100)
----> 3 sns.jointplot(x, y, color='r')
4
/usr/local/lib/python2.7/site-packages/seaborn/distributions.pyc in jointplot(x, y, data, kind, stat_func, color, size, ratio, space, dropna, xlim, ylim, joint_kws, marginal_kws, annot_kws, **kwargs)
796 grid = JointGrid(x, y, data, dropna=dropna,
797 size=size, ratio=ratio, space=space,
--> 798 xlim=xlim, ylim=ylim)
799
800 # Plot the data using the grid
/usr/local/lib/python2.7/site-packages/seaborn/axisgrid.pyc in __init__(self, x, y, data, size, ratio, space, dropna, xlim, ylim)
1640 # Turn off the ticks on the density axis for the marginal plots
1641 plt.setp(ax_marg_x.yaxis.get_majorticklines(), visible=False)
-> 1642 plt.setp(ax_marg_x.yaxis.get_minorticklines(), visible=False)
1643 plt.setp(ax_marg_y.xaxis.get_majorticklines(), visible=False)
1644 plt.setp(ax_marg_y.xaxis.get_minorticklines(), visible=False)
/usr/local/lib/python2.7/site-packages/matplotlib/pyplot.pyc in setp(*args, **kwargs)
348 @docstring.copy(_setp)
349 def setp(*args, **kwargs):
--> 350 return _setp(*args, **kwargs)
351
352
/usr/local/lib/python2.7/site-packages/matplotlib/artist.pyc in setp(obj, *args, **kwargs)
1553 objs = list(cbook.flatten(obj))
1554
-> 1555 insp = ArtistInspector(objs[0])
1556
1557 # file has to be popped before checking if kwargs is empty
IndexError: list index out of range
我安装了以下版本：
NumPy 1.12.0.dev0 + cc51ba8
Matplotlib 1.5.2rc2 + 1938.g4ba20b8
Seaborn 0.7.1
我真的很感激有关这里发生的事情的任何见解。谢谢！
答案 0 :(得分：0)
我降级到Matplotlib 1.5.1并且它现在正在运行。可能是rc2版本中的一些错误？