rename df column

1df.rename(columns={'oldName1': 'newName1',
2                   'oldName2': 'newName2'},
3          inplace=True, errors='raise')
4# Make sure you set inplace to True if you want the change
5# to be applied to the dataframe

1import pandas as pd
2data = pd.read_csv(file)
3data.rename(columns={'original':'new_name'}, inplace=True)

1# Basic syntax:
2# Assign column names to a Pandas dataframe:
3pandas_dataframe.columns = ['list', 'of', 'column', 'names']
4# Note, the list of column names must equal the number of columns in the
5# 	dataframe and order matters
6
7# Rename specific column names of a Pandas dataframe:
8pandas_dataframe.rename(columns={'column_name_to_change':'new_name'})
9# Note, with this approach, you can specify just the names you want to
10# 	change and the order doesn't matter
11
12# For rows, use "index". E.g.:
13pandas_dataframe.index = ['list', 'of', 'row', 'names']
14pandas_dataframe.rename(index={'row_name_to_change':'new_name'})

1>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
2>>> df.rename(columns={"A": "a", "B": "c"})
3   a  c
40  1  4
51  2  5
62  3  6
7

1df.rename({'a': 'X', 'b': 'Y'}, axis=1, inplace=True)
2df
3
4   X  Y  c  d  e
50  x  x  x  x  x
61  x  x  x  x  x
72  x  x  x  x  x
8 
9

1print(df.rename(columns={'A': 'a', 'C': 'c'}))
2#         a   B   c
3# ONE    11  12  13
4# TWO    21  22  23
5# THREE  31  32  33
6