python - Define Pandas DataFrame as composite boolean condition -
I am trying to do this:
data ['thing'] = Data ['a'] & gt; 0.75 and data ['B'] & gt; 0.5
I can do this:
dummy_1 = data ['A'] & gt; 0.75
And I can do this:
dummy -_2 = data ['b']> 0.5
< P> But I can not do more. Is a great way for people to handle it?
(Python 2.7.6, panda 0.13)
using a boolean Required
Data ['Object'] = (Data ['A']> 0.75) & amp; (Data ['B']> 0.5)
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