pandas.DataFrame.eval
-
DataFrame.eval(expr, inplace=False, **kwargs)
[source] -
Evaluate an expression in the context of the calling DataFrame instance.
Parameters: expr : string
The expression string to evaluate.
inplace : bool, default False
If the expression contains an assignment, whether to perform the operation inplace and mutate the existing DataFrame. Otherwise, a new DataFrame is returned.
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')
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https://pandas.pydata.org/pandas-docs/version/0.22.0/generated/pandas.DataFrame.eval.html