How do I use the drop function in pandas?
The drop function in pandas is used to remove specified labels from rows or columns. You can use it like this: df.drop(labels, axis)
.
Can you give me an example of dropping a column?
Sure! If you have a DataFrame df
and you want to drop a column named 'age', you can do: df.drop('age', axis=1)
.
What if I want to drop multiple columns?
You can pass a list of column names to the drop function. For example: df.drop(['age', 'salary'], axis=1)
.
Does it modify the original DataFrame?
By default, it returns a new DataFrame without the dropped columns. To modify the original, use the inplace=True
parameter.
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