Pandas DataFrame.where() Function Syntax

Syntax: DataFrame.where(cond, other=nan, inplace=False, axis=None, level=None, errors=’raise’, try_cast=False, raise_on_error=None)

Parameters:

• cond: One or more condition to check data frame for.
• other: Replace rows which don’t satisfy the condition with user defined object, Default is NaN
• inplace: Boolean value, Makes changes in data frame itself if True
• axis: axis to check( row or columns)

For the link to the CSV file used, Click here.

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas where() method in Python is used to check a data frame for one or more conditions and return the result accordingly. By default, The rows not satisfying the condition are filled with NaN value.