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+/-<offset>, 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()

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()

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

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: .. code-block:: python

    Convert to native pandas when unsupported parameters are needed

    native_df = df.to_pandas() result = native_df.tz_localize(…) # Use all parameters

  3. 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+/-<offset>, 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.