PYTHON

pandas rename column

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

rename column in dataframe

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

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)

pandas rename column

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

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

how to rename columns in pandas dataframe

energy = energy.rename(columns={2: 'Country', 3: 'Energy Supply' , 4:'Energy Supply per Capita',5:'% Renewable'})

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)

How to rename columns in Pandas DataFrame

# import pandas library
import pandas as pd

# create pandas DataFrame
df = pd.DataFrame({'team': ['India', 'South Africa', 'New Zealand', 'England'],
                   'points': ['10', '8', '3', '5'],
                   'runrate': ['0.5', '1.4', '2', '-0.6'],
                   'wins': ['5', '4', '2', '2']})

# print the column names of DataFrame
print(list(df))

# rename the column names of DataFrame
df.rename(columns={'points': 'total_points',
          'runrate': 'run_rate'}, inplace=True)

# print the new column names of DataFrame
print(list(df))

rename colums dataframe pandas

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

how to rename values in a column python

In [11]: df['n'].replace({'a': 'x', 'b': 'y', 'c': 'w', 'd': 'z'})
Out[11]: 
0    z
1    x
2    y
3    w
4    w
5    x
6    z
7    y
Name: n, dtype: object

In [12]: df['n'] = df['n'].replace({'a': 'x', 'b': 'y', 'c': 'w', 'd': 'z'})

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')

python change rename value in column

df['column name'] = df['column name'].replace(['1st old value','2nd old  value',...],['1st new value','2nd new value',...])

rename data columns pandas

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