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 examplespandas 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 examplescreate dataframe with column names pandas
In [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []df change column names
df.rename(columns={"A": "a", "B": "b", "C": "c"},
errors="raise", inplace=True)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 31.997 853.100710name columns pandas
>gapminder.columns = ['country','year','population',
'continent','life_exp','gdp_per_cap']Copyright © 2021 Codeinu
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