使用KDE分析出現ZeroDivisionError: 0.0 cannot be raised to a negative power錯誤
針對每個columns屬於int64與float64 , 進行 KDE分析
numeric_columns = list(app_train.columns[list(app_train.dtypes.isin([np.dtype('int64'),np.dtype('float64')]))])
import seaborn as sns
for col in numeric_columns:
plt.figure(figsize = (10, 8))
value = app_train[col].values
sns.kdeplot(( value - np.mean(value) ) / ( np.std(value) ), label = col)
plt.show()
當跑到 'AMT_ANNUITY' 下列出現錯誤, 請問可能的原因 ?
C:\Users\pingh\Anaconda3\lib\site-packages\statsmodels\nonparametric\kde.py:448: RuntimeWarning: invalid value encountered in greater X = X[np.logical_and(X > clip[0], X < clip[1])] # won't work for two columns.
C:\Users\pingh\Anaconda3\lib\site-packages\statsmodels\nonparametric\kde.py:448: RuntimeWarning: invalid value encountered in less X = X[np.logical_and(X > clip[0], X < clip[1])] # won't work for two columns.
C:\Users\pingh\Anaconda3\lib\site-packages\numpy\core\_methods.py:140: RuntimeWarning: Degrees of freedom <= 0 for slice keepdims=keepdims)
C:\Users\pingh\Anaconda3\lib\site-packages\numpy\core\_methods.py:110: RuntimeWarning: invalid value encountered in true_divide arrmean, rcount, out=arrmean, casting='unsafe', subok=False) C:\Users\pingh\Anaconda3\lib\site-packages\numpy\core\_methods.py:132: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount)
C:\Users\pingh\Anaconda3\lib\site-packages\statsmodels\nonparametric\bandwidths.py:20: RuntimeWarning: invalid value encountered in minimum return np.minimum(np.std(X, axis=0, ddof=1), IQR)
--------------------------------------------------------------------------- ValueError
ZeroDivisionError: 0.0 cannot be raised to a negative power