initialize pandas dataframe with column names
column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)initialize pandas dataframe with column names
column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)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: []name columns pandas
>gapminder.columns = ['country','year','population',
'continent','life_exp','gdp_per_cap']dataframe names pandas
print(df.rename(columns={'A': 'a', 'C': 'c'}))Copyright © 2021 Codeinu
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