Pandas DataFrame: eval() function

Last update on August 19 2022 21:50:51 (UTC/GMT +8 hours)

DataFrame - eval() function

The eval() function evaluates a string describing operations on DataFrame columns.

Operates on columns only, not specific rows or elements. This allows eval to run arbitrary code, which can make you vulnerable to code injection if you pass user input to this function.

Syntax:

DataFrame.eval(self, expr, inplace=False, **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
expr	The expression string to evaluate.	str	Required
inplace	If the expression contains an assignment, whether to perform the operation inplace and mutate the existing DataFrame. Otherwise, a new DataFrame is returned.	bool Default Value: False	Required
kwargs	See the documentation for eval() for complete details on the keyword arguments accepted by query()	dict

Returns: ndarray, scalar, or pandas object
The result of the evaluation.

Example:

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