numpy版本1.9.00
TypeError: ufunc 'bitwise_and' not supported forthe inputtypes, and the inputs could not be safely coerced to any supportedtypes according to thecasting rule '
但是,我得到了以下错误:TypeError: ufunc 'bitwise_and' not supported for the inputtypes, and the inputs could not be safely coerced to any supportedtypes according to the casting rule
df.ix[df["ptdelta"]<=0 & df["ptdelta"]>5]TypeError: ufunc 'bitwise_and' not supported for theinputtypes, and the inputs could not be safely coerced to any supportedtypes according to the
call last): X = U[(U > lims[0] & U < lims[1])]
TypeError: ufunc'bitwise_and' not supported for the inputtypes, and the inputs could not be safely coerced to any supported</e
check=lambda x: (x['LTP'] >= x['lower_range'] & x['LTP'] <= x['upper_range'])) 此代码出现错误 TypeError: ufunc'bitwise_and' not supported for the inputtypes,
and the inputs could not be safely
> a == 2.0 & b
File "<stdin>", line 1, in <module>
TypeError: ufunc'bitwise_and' not supported for the inputtypes, and the inputs could not be safely coerced to any supporte
y & z).all()
[ 0.2, 0.2]]) TypeError: ufunc'bitwise_and' not supported for the inputtypes, and the
inputs could not be safely coerced to anysupportedtypes acc
我也尝试过这样的方法,但不起作用:这将返回一个更加难以理解的错误:TypeError: ufunc'bitwise_and' not supported for the inputtypes, and the inputs could not be safely coerced to any supportedt
我以为我可以理解列表,但这给了我以下错误:TypeError: ufunc 'bitwise_and' not supported for the inputtypes, and the inputscould not be safely coerced to any supportedtypes according to the casting rule ''safe''
编辑I:我试图比较inp
site-packages/matplotlib/figure.py", line 1135, in add_axesTypeError: ufunc'isfinite' not supported for the inputtypes, and the inputs could not be safely coerced to any supportedtypes</em
根据网站,我试着这样做:不幸的是,显示了此输出:
TypeError: ufunc 'bitwise_and' not supportedfor the inputtypes, and the inputs could not be safely coerced to any supportedtypes according to
alt.X('timestamp:T', title=None),)
我得到了TypeError: ufunc'isinf' not supported for the inputtypes, and the inputs could not be safely coerced to any supportedtypes acco
是一个对象类型,我想指定val = str('...')这些空白元素 if np.isnan(row['col']) == True:
val = str('somewords') TypeError: ufunc'isnan' not supported for the inputtypes, and the inputs could not be safely coerced to any supported<em
:import numpy as npa.astype("int16")我得到了
TypeError: ufunc'right_shift' not supported for the inputtypes, and the inputs could not be safely coerced to any supportedtypes a