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Create new dataframe from existing dataframe pandas

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: []

Source: stackoverflow.com

Python create new pandas dataframe with specific columns

# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)

Source: stackoverflow.com

Create new dataframe from existing dataframe pandas

new = old[['A', 'C', 'D']].copy()

Source: stackoverflow.com

Select columns to include in new dataframe in python

new = old.filter(['A','B','D'], axis=1)

Source: stackoverflow.com

Select columns to include in new dataframe in python

new = old[['A', 'C', 'D']].copy()

Source: stackoverflow.com

Create new dataframe from existing data frame python

new = old.filter(['A','B','D'], axis=1)

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