虚空上的seaborn heatmap pandas计算

Jak*_*rne 2 python heatmap dataframe pandas seaborn

生成数据框的系列计算,以提供NaN占总行数的百分比,如下所示:

data = df.isnull().sum()/len(df)*100

RecordID          0.000000
ContactID         0.000000
EmailAddress      0.000000
ExternalID      100.000000
Date              0.000000
Name              0.000000
Owner            67.471362
Priority          0.000000
Status            0.000000
Subject           0.000000
Description       0.000000
Type              0.000000
dtype: float64
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我热衷于将其表示为seaborn中的热图sns.heatmap(data),吸引读者关注100%和67%的读者,不幸的是我遇到了此错误

IndexError:条件和输入之间的形状不一致(获取​​(12,1)和(12,))

完整回溯:

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-17-05db696a3a9b> in <module>()
----> 1 sns.heatmap(data)

~\AppData\Local\Programs\Python\Python36-32\lib\site-packages\seaborn\matrix.py in heatmap(data, vmin, vmax, cmap, center, robust, annot, fmt, annot_kws, linewidths, linecolor, cbar, cbar_kws, cbar_ax, square, xticklabels, yticklabels, mask, ax, **kwargs)
    515     plotter = _HeatMapper(data, vmin, vmax, cmap, center, robust, annot, fmt,
    516                           annot_kws, cbar, cbar_kws, xticklabels,
--> 517                           yticklabels, mask)
    518 
    519     # Add the pcolormesh kwargs here

~\AppData\Local\Programs\Python\Python36-32\lib\site-packages\seaborn\matrix.py in __init__(self, data, vmin, vmax, cmap, center, robust, annot, fmt, annot_kws, cbar, cbar_kws, xticklabels, yticklabels, mask)
    114         mask = _matrix_mask(data, mask)
    115 
--> 116         plot_data = np.ma.masked_where(np.asarray(mask), plot_data)
    117 
    118         # Get good names for the rows and columns

~\AppData\Local\Programs\Python\Python36-32\lib\site-packages\numpy\ma\core.py in masked_where(condition, a, copy)
   1934     if cshape and cshape != ashape:
   1935         raise IndexError("Inconsistent shape between the condition and the input"
-> 1936                          " (got %s and %s)" % (cshape, ashape))
   1937     if hasattr(a, '_mask'):
   1938         cond = mask_or(cond, a._mask)

IndexError: Inconsistent shape between the condition and the input (got (12, 1) and (12,))
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我的研究是否围绕无数的广播规则碰壁,还是3年前的错误-没有一个超级有用。

一如既往的感谢。

Jan*_*n K 7

您的data变量本身就是一个pd.Series一维实例。但是, sns.heatmap需要2D输入。快速修复如下:

sns.heatmap(data.to_frame())
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  • 我知道有一些简单的事情,谢谢扬,发挥了作用! (2认同)