Filtering Pandas DataFrame by date dynamically in Python can sometimes be challenging due to issues with logical operations and precedence when combining conditions.
To fix the filter condition, ensure that logical operators are applied correctly and conditions are wrapped in parentheses to avoid unexpected results.
A clearer approach involves initializing the filter condition to None, building the filter with correct logic inside a loop, and applying the finalized filter to the DataFrame.
By following these steps and testing your code at each stage, you can efficiently implement dynamic filtering based on dates in Pandas DataFrames.