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DataFrame.eval(expr, inplace=None, **kwargs)
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Evaluate an expression in the context of the calling DataFrame instance.
Parameters: expr : string
The expression string to evaluate.
inplace : bool
If the expression contains an assignment, whether to return a new DataFrame or mutate the existing.
WARNING: inplace=None currently falls back to to True, but in a future version, will default to False. Use inplace=True explicitly rather than relying on the default.
New in version 0.18.0.
kwargs : dict
See the documentation for
eval()
for complete details on the keyword arguments accepted byquery()
.Returns: ret : ndarray, scalar, or pandas object
Notes
For more details see the API documentation for
eval()
. For detailed examples see enhancing performance with eval.Examples
>>> from numpy.random import randn >>> from pandas import DataFrame >>> df = DataFrame(randn(10, 2), columns=list('ab')) >>> df.eval('a + b') >>> df.eval('c = a + b')
DataFrame.eval()
2017-01-12 04:45:47
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