NOAA_GPCC_StandardardizedPrecipitation_fix

[balit-raibot]

This PR is to fix the failure in NOAA_GPCC_StandardardizedPrecipitation as the code is using 0/1 index to access the data frame which is somehow not able to be rendered successfully.

[gemini-code-assist]

Code Review

This pull request updates the preprocessing script for GPCC SPI by passing 'raw=True' to the pandas 'apply' function to improve performance. The reviewer suggested a further optimization to fully vectorize the coordinate transformation logic, which would avoid the sequential row processing of 'apply' and significantly speed up execution on large datasets.

[balit-raibot]

@gemini-code-assist review

[gemini-code-assist]

Code Review

This pull request replaces the slow .apply() row-wise operation with a vectorized pandas implementation to format latitude and longitude coordinates into a 1-degree grid, removing the obsolete to_one_degree_grid_place helper function. The feedback suggests adding back explanatory comments about the coordinate transformation logic that were lost during the refactoring to ensure the code remains maintainable.

[balit-raibot]

@gemini-code-assist review

[gemini-code-assist]

Code Review

This pull request refactors the coordinate-to-grid conversion in preprocess_gpcc_spi.py by removing the helper function to_one_degree_grid_place and vectorizing the operation directly on the DataFrame using pandas operations, which improves performance. A review comment suggests wrapping the long string concatenation expression in parentheses to avoid breaking the .astype(str) call across lines, aligning with PEP 8 guidelines for better readability.