add column names to dataframe pandas code example

Example 1: pandas add column names

# Basic syntax:
your_dataframe.columns = ['new', 'column', 'names']

# Google "python change row or column names in pandas dataframe" for
# longer answer with examples

Example 2: how to add column headers in pandas

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

Example 3: give column names to a dataframe

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

Example 4: how to give column names in pandas when creating dataframe

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

Example 5: how to give name to column in pandas

>gapminder.rename(columns={'pop':'population',
                          'lifeExp':'life_exp',
                          'gdpPercap':'gdp_per_cap'}, 
                 inplace=True)
 
>print(gapminder.columns)
 
Index([u'country', u'year', u'population', u'continent', u'life_exp',
       u'gdp_per_cap'],
      dtype='object')
 
>gapminder.head(3)
 
       country  year  population continent  life_exp  gdp_per_cap
0  Afghanistan  1952     8425333      Asia    28.801   779.445314
1  Afghanistan  1957     9240934      Asia    30.332   820.853030
2  Afghanistan  1962    10267083      Asia    31.997   853.100710