rename columns pandas
df.rename(columns={'oldName1': 'newName1',
'oldName2': 'newName2'},
inplace=True, errors='raise')
# Make sure you set inplace to True if you want the change
# to be applied to the dataframe
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4
3
df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"}, inplace=True)
Thank you!
3
4
(3 Votes)
0
4.1
10
>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename(columns={"A": "a", "B": "c"})
a c
0 1 4
1 2 5
2 3 6
Thank you!
10
4.1
(10 Votes)
0
3.5
4
import pandas as pd
data = pd.read_csv(file)
data.rename(columns={'original':'new_name'}, inplace=True)
Thank you!
4
3.5
(4 Votes)
0
3.89
9
df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})
Thank you!
9
3.89
(9 Votes)
0
0
6
# Basic syntax:
# Assign column names to a Pandas dataframe:
pandas_dataframe.columns = ['list', 'of', 'column', 'names']
# Note, the list of column names must equal the number of columns in the
# dataframe and order matters
# Rename specific column names of a Pandas dataframe:
pandas_dataframe.rename(columns={'column_name_to_change':'new_name'})
# Note, with this approach, you can specify just the names you want to
# change and the order doesn't matter
# For rows, use "index". E.g.:
pandas_dataframe.index = ['list', 'of', 'row', 'names']
pandas_dataframe.rename(index={'row_name_to_change':'new_name'})
Thank you!
6
0
0
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rename column pandas
rename columns pandas