PNDSPY1133¶

Message Pandas < pandas.core.groupby.groupby.GroupBy.resample > 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: Implemented for DataFrameGroupBy objects. Only DatetimeIndex is supported and its freq will be lost. rule frequencies ‘s’, ‘min’, ‘h’, and ‘D’ are supported.

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.resample

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Output¶

The SMA adds the EWI PNDSPY1133 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: PNDSPY1133 => pandas.core.groupby.groupby.GroupBy.resample 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.resample

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Recommended fix¶

Behavioral note: Implemented for DataFrameGroupBy objects. Only DatetimeIndex is supported and its freq will be lost. rule frequencies ‘s’, ‘min’, ‘h’, and ‘D’ are supported.

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.