PNDSPY1125¶

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 for non-integer/boolean types.

Scenario¶

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

import snowflake.snowpark.modin.pandas as pd

#EWI: PNDSPY1125 => pandas.core.groupby.groupby.GroupBy.any 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.any

Recommended fix¶

Data type consideration: N for non-integer/boolean types.

Ensure data types are compatible:

• Check column dtypes with df.dtypes before the operation

• Use .astype() to convert columns to expected types

• Numeric operations may require explicit casting: df['col'].astype(float)

Additional recommendations¶

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