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Pandas DataFrame: Rename columns of a given DataFrame

Pandas: DataFrame Exercise-23 with Solution

Write a Pandas program to rename columns of a given DataFrame.

Sample data:
Original DataFrame
col1 col2 col3
0 1 4 7
1 2 5 8
2 3 6 9
New DataFrame after renaming columns:
Column1 Column2 Column3
0 1 4 7
1 2 5 8
2 3 6 9

Sample Solution :

Python Code :

import pandas as pd
d = {'col1': [1, 2, 3], 'col2': [4, 5, 6], 'col3': [7, 8, 9]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
df.columns = ['Column1', 'Column2', 'Column3']
df = df.rename(columns={'col1': 'Column1', 'col2': 'Column2', 'col3': 'Column3'})
print("New DataFrame after renaming columns:")
print(df)

Sample Output:

Original DataFrame
   col1  col2  col3
0     1     4     7
1     2     5     8
2     3     6     9
New DataFrame after renaming columns:
   Column1  Column2  Column3
0        1        4        7
1        2        5        8
2        3        6        9                  

Python-Pandas Code Editor:

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m