PNDSPY1065¶

Message Pandas < pandas.core.frame.DataFrame.map > 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 na_action == “ignore”.

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

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
result = df.map()

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Output¶

The SMA adds the EWI PNDSPY1065 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: PNDSPY1065 => pandas.core.frame.DataFrame.map has a partial mapping, with few scenarios not supported. Check Snowpark pandas documentation for more detail.
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
result = df.map()

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Recommended fix¶

NULL/NaN handling difference: N if na_action == “ignore”.

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.