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: []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 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 33how 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 31.997 853.100710rename pandas columns with list of new names
df.columns = list_of_namesCopyright © 2021 Codeinu
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