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import pandas import numpy as np index = pandas.date_range('1/1/2000',periods=8,) columns = ['A','B','C','D'] df = pandas.DataFrame(np.random.randn(len(index),len(columns)),index=index printdf
A B C D 2000-01-01 0.752832 0.083465-0.273210 1.128781 2000-01-02 0.895254 0.401056 1.473770 1.998924 2000-01-03 2.318820 0.384354-1.056422-1.280257 2000-01-04 0.981042 0.717762-1.015285-1.146636 2000-01-05-0.979061-1.765188 0.025436-0.815622 2000-01-06-0.166251 1.887524-0.131171-0.802795 2000-01-07 0.025936 0.122587 0.517295 0.589679 2000-01-08 0.691059 0.458683-0.856201-0.412374 s = pandas.Series(np.random.randn(len(index)),index=index) print s 2000-01-01 -0.182340 2000-01-02 0.031729 2000-01-03 0.616713 2000-01-04 -0.329961 2000-01-05 -1.220345 2000-01-06 -1.323948 2000-01-07 1.182522 2000-01-08 -0.622332
__invert__ works in Series (the ~ operator) but not in DataFrame
__invert__
print s[~(s<0)] print ~(df<0) 2000-01-02 0.031729 2000-01-03 0.616713 2000-01-07 1.182522 TypeError: bad operand type for unary~: 'DataFrame'
The text was updated successfully, but these errors were encountered:
ENH: ~ for DataFrame #2110
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__invert__
works in Series (the ~ operator)but not in DataFrame
The text was updated successfully, but these errors were encountered: