name columns pandas

df.rename(columns={"A": "a", "B": "b", "C": "c"},
errors="raise", inplace=True)

df_new = df.rename(columns={'A': 'a'}, index={'ONE': 'one'})
print(df_new)
#         a   B   C
# one    11  12  13
# TWO    21  22  23
# THREE  31  32  33

print(df)
#         A   B   C
# ONE    11  12  13
# TWO    21  22  23
# THREE  31  32  33

df = df.rename(columns = {'myvar':'myvar_new'})

# Import pandas package  
import pandas as pd  
    
# making data frame  
data = pd.read_csv("nba.csv")  
  
# iterating the columns 
for col in data.columns: 
    print(col) 

#Pandas for Python

df.coloumns = ['A','B'] 

>gapminder.columns = ['country','year','population',
                     'continent','life_exp','gdp_per_cap']

df.columns = ['A','B']