PYTHON

rename column in dataframe

df.rename({"current": "updated"}, axis=1, inplace=True)
print(df.dtypes)

pandas dataframe column rename

>>> 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

rename one dataframe column python

#suppy as dict the column name to replace
df1 = df.rename(columns={'Name': 'EmpName'})
print(df1)

pandas dataframe rename column

df = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'})
# Or rename the existing DataFrame (rather than creating a copy) 
df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'}, inplace=True)

Renaming Column Name Dataframe

df = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'})

rename columns in dataframe

df.rename(columns = {'old_col1':'new_col1', 'old_col2':'new_col2'}, inplace = True)

dataframe rename column

# Define df
df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})

# Option 1
df = df.rename({"A": "a", "B": "c"}, axis=1)
# or
df.rename({"A": "a", "B": "c"}, axis=1, inplace=True)

# Option 2
df = df.rename(columns={"A": "a", "B": "c"})
# or
df.rename(columns={"A": "a", "B": "c"}, inplace=True)

# Result
>>> df
   a  c
0  1  4
1  2  5
2  3  6

renaming column in dataframe pandas

df.rename({'a': 'X', 'b': 'Y'}, axis=1, inplace=True)
df

   X  Y  c  d  e
0  x  x  x  x  x
1  x  x  x  x  x
2  x  x  x  x  x
 

pandas description of dataframe renaming column values

	dict = {
    'Android': 'Android',
    'Chrome OS': 'Chrome OS',
    'Linux': 'Linux',
    'Mac OS': 'macOS',
    'No OS': 'No OS',
    'Windows': 'Windows',
    'macOS': 'macOS'
}

df['col'] = df['col'].map(dict)

rename colums dataframe pandas

df.columns = ['new_col1', 'new_col2', 'new_col3', 'new_col4']

rename one dataframe column python in inplace

import pandas as pd

d1 = {'Name': ['Pankaj', 'Lisa', 'David'], 'ID': [1, 2, 3], 'Role': ['CEO', 'Editor', 'Author']}

df = pd.DataFrame(d1)

print('Source DataFrame:
', df)

df.rename(index={0: '#0', 1: '#1', 2: '#2'}, columns={'Name': 'EmpName', 'ID': 'EmpID', 'Role': 'EmpRole'}, inplace=True)

print('Source DataFrame:
', df)

rename column in dataframe

DataFrame.rename() method

pandas rename column values

df['col_name'] = df['col_name'].str.replace('G', '1')

rename data columns pandas

data.columns = ['New_column_name', 'New_column_name2']