在绘制spearmanr相关性的树状图时出错。下面是我使用的代码
corr = np.round(scipy.stats.spearmanr(full_data[list_of_continous]).correlation, 4)
corr_condensed = hc.distance.squareform(1-corr)
z = hc.linkage(corr_condensed, method='average')
fig = plt.figure(figsize=(20,20))
dendrogram = hc.dendrogram(z, labels=full_data[list_of_continous].columns, orientation='left', leaf_font_size=30)
plt.show()
下面是我得到的错误:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-10-9873c0be8dc7> in <module>()
1 corr = np.round(scipy.stats.spearmanr(full_data[list_of_continous]).correlation, 4)
----> 2 corr_condensed = hc.distance.squareform(1-corr)
3 z = hc.linkage(corr_condensed, method='average')
4 fig = plt.figure(figsize=(20,20))
5 dendrogram = hc.dendrogram(z, labels=full_data[list_of_continous].columns, orientation='left', leaf_font_size=30)
/usr/local/anaconda/lib/python3.6/site-packages/scipy/spatial/distance.py in squareform(X, force, checks)
1844 raise ValueError('The matrix argument must be square.')
1845 if checks:
-> 1846 is_valid_dm(X, throw=True, name='X')
1847
1848 # One-side of the dimensions is set here.
/usr/local/anaconda/lib/python3.6/site-packages/scipy/spatial/distance.py in is_valid_dm(D, tol, throw, name, warning)
1920 if name:
1921 raise ValueError(('Distance matrix \'%s\' must be '
-> 1922 'symmetric.') % name)
1923 else:
1924 raise ValueError('Distance matrix must be symmetric.')
ValueError: Distance matrix 'X' must be symmetric.
2条答案
按热度按时间s2j5cfk01#
变量
corr
可能有nan个值,这些值可能会使其变形。请尝试:
更新:
跳跃
对我来说没有任何错误。
所以
对你也一样。
s4chpxco2#
如果您确定矩阵是对称的,请设置checks=False
corr_condensed = hc.distance.squareform(1-corr, checks=False)