PNDSPY1207¶

Message Pandas < pandas.core.series.Series.skew > has a partial mapping with a few scenarios not supported in Snowpark.

Category Warning

Description¶

This issue appears when the SMA detects the use of a pandas element that has a direct equivalent in Snowpark pandas, but some scenarios might behave differently than pandas.

Reason: N if axis == 1 or skipna == False or numeric_only=False.

Scenario¶

A method with a few scenarios that aren’t supported in Snowpark.

Input¶

The following example shows a method with a few unsupported scenarios in Snowpark.

import pandas as pd

s = pd.Series([1, 2, 3, 4, 5])
result = s.skew()

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Output¶

The SMA adds the EWI PNDSPY1207 to the output code to let you know that this element has a few scenarios that aren’t supported in Snowpark.

import snowflake.snowpark.modin.pandas as pd

#EWI: PNDSPY1207 => pandas.core.series.Series.skew has a partial mapping, with few scenarios not supported. Check Snowpark pandas documentation for more detail.
s = pd.Series([1, 2, 3, 4, 5])
result = s.skew()

Copy

Recommended fix¶

NULL/NaN handling difference: N if axis == 1 or skipna == False or numeric_only=False.

Snowpark pandas may handle NULL/NaN values differently:

Pre-filter NULL values using .dropna() or .fillna() before the operation
Verify NULL handling behavior with a small sample dataset
Use explicit NULL checks: df[df['column'].notna()]

Additional recommendations¶

Check the Snowpark pandas documentation to verify which scenarios aren’t supported for that specific element.