PNDSPY1165¶

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: suffixes, tolerance

Reason: N if param direction is nearest.

Scenario¶

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

import pandas as pd

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

import snowflake.snowpark.modin.pandas as pd

#EWI: PNDSPY1165 => pandas.core.reshape.merge.merge_asof 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.merge_asof(df)

Recommended fix¶

The following parameters are not supported in Snowpark pandas: suffixes, tolerance.

Recommended approaches:

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

2. 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.merge_asof(...)  # Use all parameters
   

   Copy

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

Behavioral note: N if param direction is nearest.

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.