dataframes#

Contain functions for handling dataframes in checks.

Functions

`validate_columns_exist`(df, columns[, ...])	Validate given columns exist in dataframe.
`select_from_dataframe`(df[, columns, ...])	Filter DataFrame columns by given params.
`un_numpy`(val)	Convert numpy value to native value.
`generalized_corrwith`(x1, x2, method)	Compute pairwise correlation.
`floatify_dataframe`(df)	Return a dataframe where all the int columns are converted to floats.
`floatify_series`(ser)	Return a series that if the type is int converted to float.
`default_fill_na_per_column_type`(df, cat_features)	Fill NaN values per column type.

deepchecks.utils

validate_columns_exist