python return column names of pandas dataframe
# Basic syntax:
your_dataframe.columns
# Note, if you want the column names as a list, just do:
list(your_dataframe.columns)python return column names of pandas dataframe
# Basic syntax:
your_dataframe.columns
# Note, if you want the column names as a list, just do:
list(your_dataframe.columns)create 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: []pandas dataframe rename column
df = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'})
# Or rename the existing DataFrame (rather than creating a copy)
df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'}, inplace=True)name columns pandas
>gapminder.columns = ['country','year','population',
'continent','life_exp','gdp_per_cap']Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
