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 dataframedf = df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})
import pandas as pd
data = pd.read_csv(file)
data.rename(columns={'original':'new_name'}, inplace=True)df = df.rename(columns = {'myvar':'myvar_new'})df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"}, inplace=True)# Geopandas use the same rename function as Pandas.
import pandas as pd
df = pd.GeoDataFrame({'x':['John', 'Doe', 'Paul'],
'y':[22, 31, 15],
'z':[[-45.23332,34.23556], [-45.32565,34.49347], [-45.27648,34.45284]]
})
columns_Name = {'x': 'name', 'y': 'age', 'z': 'location'}
df = df.rename(columns = columns_Name)
df
name age location
0 John 22 [-45.23332, 34.23556]
1 Doe 31 [-45.32565, 34.49347]
2 Paul 15 [-45.27648, 34.45284]
# When you want the change to be implicitly saved
columns_Name = {'x': 'name', 'y': 'age', 'z': 'location'}
df.rename(columns = columns_Name, inplace=True)