pandas to dict with python native datetime type and not timestamp

Certainly! The to_dict method in pandas is used to convert a DataFrame to a dictionary. By default, when you use to_dict, the datetime values are converted to timestamps. However, if you want to keep the datetime values in their native Python datetime format instead of converting them to timestamps, you can use the datetime_as_string parameter.
Here's an informative tutorial with code examples:
In this example, we first create a DataFrame with a column containing datetime values. Then, we use the to_dict method with datetime_as_string=False to ensure that the datetime values are stored in their native Python datetime format in the resulting dictionary.
Finally, we create a new DataFrame from the dictionary to demonstrate that the datetime type has been preserved.
This tutorial should help you use the to_dict method in pandas with Python native datetime types.
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