Answers for "rename column headers pandas"

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

rename df column

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

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)

change name of column pandas

#df.rename() will only return a new df with the new headers
#df = df.rename() will change the heders of the current dataframe 
df = df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})

rename column in dataframe

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

dataframe rename column

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

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

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

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