PNDSPY1150¶

Message Pandas < pandas.core.indexes.datetimes.DatetimeIndex.tz_localize > 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: ambiguous, nonexistent

Reason: N if timezone format is not supported. Only timezones listed in pytz.all_timezones are supported. For example, UTC is supported but UTC+/-, such as, UTC+09:00 is not 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

idx = pd.DatetimeIndex(['2023-01-01', '2023-02-01', '2023-03-01'])
result = idx.tz_localize()

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Output¶

The SMA adds the EWI PNDSPY1150 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: PNDSPY1150 => pandas.core.indexes.datetimes.DatetimeIndex.tz_localize has a partial mapping, with few scenarios not supported. Check Snowpark pandas documentation for more detail.
idx = pd.DatetimeIndex(['2023-01-01', '2023-02-01', '2023-03-01'])
result = idx.tz_localize()

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Recommended fix¶

The following parameters are not supported in Snowpark pandas: ambiguous, nonexistent.

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.tz_localize(...)  # 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.

Timezone handling difference: N if timezone format is not supported. Only timezones listed in pytz.all_timezones are supported. For example, UTC is supported but UTC+/-, such as, UTC+09:00 is not supported.

When working with timezones in Snowpark pandas:

Ensure your timezone strings are valid IANA timezone names (e.g., ‘UTC’, ‘America/New_York’)
Test timezone conversions with sample data before running on full dataset
Consider using .to_pandas() for complex timezone operations if results differ

Additional recommendations¶

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