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
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
how to add column headers in pandas
#suppose team is a df that has unnamed columns (0,1...)
team.columns =['Name', 'Code', 'Age', 'Weight']
add column names to dataframe pandas
# python 3.x
import pandas as pd
import numpy as np
df = pd.DataFrame(data=np.random.randint(0, 10, (6,4)))
df.columns=["a", "b", "c", "d"]
print(df)
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
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