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Is there a way to select all but one column in a pandas DataFrame object? I've seen ways to delete a column, but I don't want to do that.
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To select all columns except one column in Pandas DataFrame, we can use df. loc[:, df. columns != <column name>].
We can exclude one column from the pandas dataframe by using the loc function. This function removes the column based on the location. Parameters: dataframe: is the input dataframe.
Find Duplicate Rows based on all columns To find & select the duplicate all rows based on all columns call the Daraframe. duplicate() without any subset argument. It will return a Boolean series with True at the place of each duplicated rows except their first occurrence (default value of keep argument is 'first').
use drop method:
df.drop(column_name, axis=1) 
df.loc[:, df.columns != col] where col is the name of the column to leave out.
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