snowflake.snowpark.DataFrame.corr

DataFrame.corr(col1: Union[Column, str], col2: Union[Column, str], *, statement_params: Optional[Dict[str, str]] = None) → Optional[float][source] (https://github.com/snowflakedb/snowpark-python/blob/v1.16.0/src/snowflake/snowpark/dataframe_stat_functions.py#L108-L136)

Calculates the correlation coefficient for non-null pairs in two numeric columns.

Example:

>>> df = session.create_dataframe([[0.1, 0.5], [0.2, 0.6], [0.3, 0.7]], schema=["a", "b"])
>>> df.stat.corr("a", "b")
0.9999999999999991
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Parameters:

  • col1 – The name of the first numeric column to use.

  • col2 – The name of the second numeric column to use.

  • statement_params – Dictionary of statement level parameters to be set while executing this action.

Returns:

The correlation of the two numeric columns. If there is not enough data to generate the correlation, the method returns None. statement_params: Dictionary of statement level parameters to be set while executing this action.

语言: 中文