You can use the apply
method of a pandas dataframe along with the drop_duplicates
method to keep only unique values of each column. Here's an example code snippet that demonstrates this:
main.py362 chars17 lines
This will output the following dataframe, which contains the unique values of each column:
main.py56 chars5 lines
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