Sometimes, we want to add custom sorting in a Python Pandas dataframe.
In this article, we’ll look at how to add custom sorting in a Python Pandas dataframe.
How to add custom sorting in a Python Pandas dataframe?
To add custom sorting in a Python Pandas dataframe, we call sort_values with the key argument set to a lambda function.
For instance, we write
df.sort_values(by=['m'], key=lambda x: x.map(custom_dict))
to call sort_values with the by column set to an array of columns to sort by.
And the key is set to a lambda function that return values returned by map to map the values in the keys of custom_dict to its values and returned.
Conclusion
To add custom sorting in a Python Pandas dataframe, we call sort_values with the key argument set to a lambda function.
