I have dealt with all the Nan values in the features dataframe, then why I am still getting this error? sns.heatmap(features, annot=True, annot_kws={"size": 7})
sns.plt.show()TypeError Traceback (most recent call last)
<ipython-input-11-534a699b432d> in <module>()
----> 1 sns.heatmap(features, annot=True, annot_kws={"size": 7})
2 sns.plt.show()
c:\users\jetjo\appdata\local\programs\python\python36\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
c:\users\jetjo\appdata\local\programs\python\python36\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)
166 # Determine good default values for the colormapping
167 self._determine_cmap_params(plot_data, vmin, vmax,
--> 168 cmap, center, robust)
169
170 # Sort out the annotations
c:\users\jetjo\appdata\local\programs\python\python36\lib\site-packages\seaborn\matrix.py in _determine_cmap_params(self, plot_data, vmin, vmax, cmap, center, robust)
203 cmap, center, robust):
204 """Use some heuristics to set good defaults for colorbar and range."""
--> 205 calc_data = plot_data.data[~np.isnan(plot_data.data)]
206 if vmin is None:
207 vmin = np.percentile(calc_data, 2) if robust else calc_data.min()
TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''发布于 2018-07-05 21:32:10
您的dataFrame中可能存在类型为object的列。如有可能,将其移除或转换为浮点、int等。
来自海运文件:
数据:矩形数据集
可以强制进入ndarray的2D数据集。如果提供了Pandas,则索引/列信息将用于标记列和行。
所以你可以试试
sns.heatmap(features.drop(['columnName01_OfTypeObject','columnName02_OfTypeObject'],axis=1), annot=True, annot_kws={"size": 7})这将暂时删除您的列。
https://datascience.stackexchange.com/questions/32981
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