Update FileModifier.py

[tugraskan]

This pull request makes improvements to the modify_hru_con method in SRC/core/FileModifier.py to handle edge cases and improve data processing. The changes ensure that missing values are replaced with empty strings and remove unnecessary blank lines for better readability.

Enhancements to data handling:

• Added a step to replace NaN values with empty strings in the output DataFrame to prevent potential issues during further processing. ([SRC/core/FileModifier.pyR68-R69](https://github.com/tugraskan/SWATPLUS_HRU_Processor/pull/2/files#diff-7feebc6a6cd85e5baf6083ee3f610c22ca10eb61291384159b987593e8a2e104R68-R69))

Code readability improvements:

• Removed unnecessary blank lines in the method to make the code more concise and easier to follow. ([SRC/core/FileModifier.pyL52-L62](https://github.com/tugraskan/SWATPLUS_HRU_Processor/pull/2/files#diff-7feebc6a6cd85e5baf6083ee3f610c22ca10eb61291384159b987593e8a2e104L52-L62))

[Copilot]

Pull Request Overview

This pull request enhances the modify_hru_con method in FileModifier.py to better handle edge cases and improve readability.

• Added a step to replace NaN values with empty strings in the output DataFrame.
• Removed unnecessary blank lines for a more concise code style.

Comments suppressed due to low confidence (1)

SRC/core/FileModifier.py:68

• Replacing NaN values with empty strings may change column data types, particularly for numeric fields. Please verify that this change is acceptable for all downstream processing scenarios.

# ** Replace NaN with empty strings to avoid issues **

[tugraskan]

This pull request makes improvements to the modify_hru_con method in SRC/core/FileModifier.py to enhance error handling and data processing. The changes include removing unnecessary blank lines for better readability and adding a step to handle missing values in the output DataFrame.

Enhancements to data processing and error handling:

• Removed unnecessary blank lines in the modify_hru_con method for improved code readability.
• Added a step to replace NaN values with empty strings in the output DataFrame to prevent potential issues during processing.