add column names to dataframe pandas

1# Basic syntax:
2your_dataframe.columns = ['new', 'column', 'names']
3
4# Google "python change row or column names in pandas dataframe" for
5# longer answer with examples

1# python 3.x
2import pandas as pd
3import numpy as np
4
5df = pd.DataFrame(data=np.random.randint(0, 10, (6,4)))
6
7df.columns=["a", "b", "c", "d"]
8print(df)

1#suppose team is a df that has unnamed columns (0,1...)
2team.columns =['Name', 'Code', 'Age', 'Weight'] 

1>gapminder.rename(columns={'pop':'population',
2                          'lifeExp':'life_exp',
3                          'gdpPercap':'gdp_per_cap'}, 
4                 inplace=True)
5 
6>print(gapminder.columns)
7 
8Index([u'country', u'year', u'population', u'continent', u'life_exp',
9       u'gdp_per_cap'],
10      dtype='object')
11 
12>gapminder.head(3)
13 
14       country  year  population continent  life_exp  gdp_per_cap
150  Afghanistan  1952     8425333      Asia    28.801   779.445314
161  Afghanistan  1957     9240934      Asia    30.332   820.853030
172  Afghanistan  1962    10267083      Asia    31.997   853.100710
18

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