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Python - Move a column to the first position in Pandas DataFrame?
Use pop() to pop the column and insert it using the insert() methodi.e. moving a column. At first, create a DataFrame with 3 columns −
dataFrame = pd.DataFrame( { "Student": ['Jack', 'Robin', 'Ted', 'Marc', 'Scarlett', 'Kat', 'John'],"Result": ['Pass', 'Fail', 'Pass', 'Fail', 'Pass', 'Pass', 'Pass'],"Roll Number": [ 5, 10, 3, 8, 2, 9, 6] } )
Move column "Roll Number" to 1st position by first popping the column out −
shiftPos = dataFrame.pop("Roll Number")
Insert column on the 1st position −
dataFrame.insert(0, "Roll Number", shiftPos)
Example
Following is the code −
import pandas as pd # Create DataFrame dataFrame = pd.DataFrame( { "Student": ['Jack', 'Robin', 'Ted', 'Marc', 'Scarlett', 'Kat', 'John'],"Result": ['Pass', 'Fail', 'Pass', 'Fail', 'Pass', 'Pass', 'Pass'],"Roll Number": [ 5, 10, 3, 8, 2, 9, 6] } ) print"DataFrame ...\n",dataFrame # move column "Roll Number" to 1st position shiftPos = dataFrame.pop("Roll Number") # insert column on the 1st position dataFrame.insert(0, "Roll Number", shiftPos) print"\nUpdated DataFrame after moving a column to the first position...\n",dataFrame
Output
This will produce the following output −
DataFrame ... Result Roll Number Student 0 Pass 5 Jack 1 Fail 10 Robin 2 Pass 3 Ted 3 Fail 8 Marc 4 Pass 2 Scarlett 5 Pass 9 Kat 6 Pass 6 John Updated DataFrame after moving a column to the first position... Roll Number Result Student 0 5 Pass Jack 1 10 Fail Robin 2 3 Pass Ted 3 8 Fail Marc 4 2 Pass Scarlett 5 9 Pass Kat 6 6 Pass John
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