Stats

get_column_max(df, column_name)

Get the maximum value of a column in a DataFrame.

PARAMETER	DESCRIPTION
df	The input DataFrame. TYPE: DataFrame
column_name	The name of the column to find the maximum for. TYPE: str

RETURNS	DESCRIPTION
float	The maximum value of the specified column.

get_column_mean(df, column_name)

Get the mean value of a column in a DataFrame.

PARAMETER	DESCRIPTION
df	The input DataFrame. TYPE: DataFrame
column_name	The name of the column to compute the mean for. TYPE: str

RETURNS	DESCRIPTION
float	The mean value of the specified column.

get_column_min(df, column_name)

Get the minimum value of a column in a DataFrame.

PARAMETER	DESCRIPTION
df	The input DataFrame. TYPE: DataFrame
column_name	The name of the column to find the minimum for. TYPE: str

RETURNS	DESCRIPTION
float	The minimum value of the specified column.

get_column_stat(df, column_name, stat_func)

Generic function to get a statistic for a column.

PARAMETER	DESCRIPTION
df	The input DataFrame. TYPE: DataFrame
column_name	The name of the column to compute the statistic for. TYPE: str
stat_func	The statistical function to apply (e.g., pl.mean, pl.min). TYPE: Callable[[str], Any]

RETURNS	DESCRIPTION
float	The computed statistic for the specified column.

get_column_stats(df, column_name)

Compute baseline statistics for a specified column.

PARAMETER	DESCRIPTION
df	The input DataFrame. TYPE: DataFrame
column_name	The name of the column to compute statistics for. TYPE: str

RETURNS	DESCRIPTION
dict[str, float]	A dictionary containing the mean, min, max, and standard deviation of the specified column.

get_column_std(df, column_name)

Get the standard deviation of a column in a DataFrame.

PARAMETER	DESCRIPTION
df	The input DataFrame. TYPE: DataFrame
column_name	The name of the column to compute the standard deviation for. TYPE: str

RETURNS	DESCRIPTION
float	The standard deviation of the specified column.