name columns pandas

1df = df.rename(columns = {'myvar':'myvar_new'})

1In [4]: import pandas as pd
2In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
3In [6]: df
4Out[6]:
5Empty DataFrame
6Columns: [A, B, C, D, E, F, G]
7Index: []

1df.rename(columns={"A": "a", "B": "b", "C": "c"},
2errors="raise", inplace=True)
3

1df_new = df.rename(columns={'A': 'a'}, index={'ONE': 'one'})
2print(df_new)
3#         a   B   C
4# one    11  12  13
5# TWO    21  22  23
6# THREE  31  32  33
7
8print(df)
9#         A   B   C
10# ONE    11  12  13
11# TWO    21  22  23
12# THREE  31  32  33
13

1print(data.columns.values)

1>gapminder.columns = ['country','year','population',
2                     'continent','life_exp','gdp_per_cap']
3