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How to select all columns except one in a Pandas DataFrame?
To select all columns except one column in Pandas DataFrame, we can use df.loc[:, df.columns != <column name>].
Steps
Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
Print the input DataFrame, df.
Initialize a variable col with column name that you want to exclude.
Use df.loc[:, df.columns != col] to create another DataFrame excluding a particular column.
Print the DataFrame without col column.
Example
import pandas as pd df = pd.DataFrame( { "x": [5, 2, 1, 9], "y": [4, 1, 5, 10], "z": [4, 1, 5, 0] } ) print("Input DataFrame is:
", df) col = "y" df1 = df.loc[:, df.columns != col] print "DataFrame without Column-y:
", df1
Output
Input DataFrame is: x y z 0 5 4 4 1 2 1 1 2 1 5 5 3 9 10 0 DataFrame without Column-y: x z 0 5 4 1 2 1 2 1 5 3 9 0
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