python create new pandas dataframe with specific columns
# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)python create new pandas dataframe with specific columns
# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)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: []select columns to include in new dataframe in python
new = old[['A', 'C', 'D']].copy()select columns to include in new dataframe in python
new = old.filter(['A','B','D'], axis=1)create new dataframe from existing dataframe pandas
new = old[['A', 'C', 'D']].copy()create new dataframe from existing data frame python
new = old.filter(['A','B','D'], axis=1)Copyright © 2021 Codeinu
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