Table of Contents
Moving a column to the front of a DataFrame in Pandas is a straightforward process that can be achieved in a few simple steps. First, the desired column can be selected using its label or index. Then, the “insert” function can be used to insert the selected column at the beginning of the DataFrame. This function takes two parameters – the index of the new column and the name of the selected column. Finally, the resulting DataFrame can be assigned to a new variable or the existing one can be overwritten. By following these steps, the selected column will be successfully moved to the front of the DataFrame, allowing for easier data analysis and manipulation.
Pandas: Move Column to Front of DataFrame
You can use the following methods to move columns to the front of a pandas DataFrame:
Method 1: Move One Column to Front
df = df[['my_col'] + [x for x in df.columnsif x != 'my_col']]
Method 2: Move Multiple Columns to Front
cols_to_move = ['my_col1', 'my_col2'] df = df[cols_to_move + [x for x in df.columnsif x not in cols_to_move]]
The following examples show how to use each method with the following pandas DataFrame:
import pandas as pd
#create DataFrame
df = pd.DataFrame({'team': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],
'points': [18, 22, 19, 14, 14, 11, 20, 28],
'assists': [5, 7, 7, 9, 12, 9, 9, 4],
'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]})
#view DataFrame
print(df)
team points assists rebounds
0 A 18 5 11
1 B 22 7 8
2 C 19 7 10
3 D 14 9 6
4 E 14 12 6
5 F 11 9 5
6 G 20 9 9
7 H 28 4 12Example 1: Move One Column to Front
The following code shows how to move the ‘assists’ column to the front of the DataFrame:
#move 'assists' column to front
df = df[['assists'] + [x for x in df.columnsif x != 'assists']]
#view updated DataFrame
print(df)
assists team points rebounds
0 5 A 18 11
1 7 B 22 8
2 7 C 19 10
3 9 D 14 6
4 12 E 14 6
5 9 F 11 5
6 9 G 20 9
7 4 H 28 12The ‘assists’ column has been moved to the front of the DataFrame and every other column has remained in the same order.
Example 2: Move Multiple Columns to Front
The following code shows how to move both the ‘points’ and ‘rebounds’ columns to the front of the DataFrame:
#define columns to move to front
cols_to_move = ['points', 'rebounds']
#move columns to front
df = df[cols_to_move + [x for x in df.columnsif x not in cols_to_move]]
#view updated DataFrame
print(df)
points rebounds team assists
0 18 11 A 5
1 22 8 B 7
2 19 10 C 7
3 14 6 D 9
4 14 6 E 12
5 11 5 F 9
6 20 9 G 9
7 28 12 H 4
The ‘points’ and ‘rebounds’ columns have both been moved to the front of the DataFrame.
The following tutorials explain how to perform other common tasks in pandas:
Cite this article
stats writer (2024). How can I move a column to the front of a DataFrame in Pandas?. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/stats/how-can-i-move-a-column-to-the-front-of-a-dataframe-in-pandas/
stats writer. "How can I move a column to the front of a DataFrame in Pandas?." PSYCHOLOGICAL SCALES, 27 Jun. 2024, https://scales.arabpsychology.com/stats/how-can-i-move-a-column-to-the-front-of-a-dataframe-in-pandas/.
stats writer. "How can I move a column to the front of a DataFrame in Pandas?." PSYCHOLOGICAL SCALES, 2024. https://scales.arabpsychology.com/stats/how-can-i-move-a-column-to-the-front-of-a-dataframe-in-pandas/.
stats writer (2024) 'How can I move a column to the front of a DataFrame in Pandas?', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/stats/how-can-i-move-a-column-to-the-front-of-a-dataframe-in-pandas/.
[1] stats writer, "How can I move a column to the front of a DataFrame in Pandas?," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, June, 2024.
stats writer. How can I move a column to the front of a DataFrame in Pandas?. PSYCHOLOGICAL SCALES. 2024;vol(issue):pages.
