PNDSPY1118¶

Message Pandas < pandas.core.groupby.generic.DataFrameGroupBy.fillna > 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: GroupBy axis = 0 is supported. Does not support downcast parameter.

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': ['foo', 'bar', 'foo', 'bar'], 'B': [1, 2, 3, 4]})
grouped = df.groupby('A')
result = grouped.fillna

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Output¶

The SMA adds the EWI PNDSPY1118 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: PNDSPY1118 => pandas.core.groupby.generic.DataFrameGroupBy.fillna has a partial mapping, with few scenarios not supported. Check Snowpark pandas documentation for more detail.
df = pd.DataFrame({'A': ['foo', 'bar', 'foo', 'bar'], 'B': [1, 2, 3, 4]})
grouped = df.groupby('A')
result = grouped.fillna

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Recommended fix¶

Behavioral note: GroupBy axis = 0 is supported. Does not support downcast parameter.

This behavior may differ from native pandas. Recommended actions:

Test with a representative sample of your data
Compare results with native pandas if precision is critical
Use .to_pandas() if exact pandas behavior is required

Additional recommendations¶

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