PNDSPY1168¶

Message Pandas < pandas.core.reshape.pivot.pivot_table > 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.

Missing or Unsupported Parameters: observed, margins, sort

Reason: N if index, columns, or values is not str; or MultiIndex; or any aggfunc is not a supported aggregation function <agg_supp.html>_.

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 = pd.pivot_table(df)

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Output¶

The SMA adds the EWI PNDSPY1168 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: PNDSPY1168 => pandas.core.reshape.pivot.pivot_table 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 = pd.pivot_table(df)

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Recommended fix¶

The following parameters are not supported in Snowpark pandas: observed, margins, sort.

Recommended approaches:

Avoid unsupported parameters: Modify your code to not use these parameters if they are not essential.

Use .to_pandas() for full compatibility: If you need these parameters, convert to native pandas first:

# Convert to native pandas when unsupported parameters are needed
native_df = df.to_pandas()
result = native_df.pivot_table(...)  # Use all parameters

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Split the operation: Perform supported operations in Snowpark pandas, then use native pandas only for the unsupported functionality.

Behavioral note: N if index, columns, or values is not str; or MultiIndex; or any aggfunc is not a supported aggregation function <agg_supp.html>_.

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.