/Python/Create new dataframe from existing dataframe pandas

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)

Similar codes

7 votes339 views3 answers
Np sum
Python
1 vote288 views2 answers
Python get directory of current script file
Python
4 votes257 views1 answer
Drop Rows by Index in dataframe
Python
0 vote253 views1 answer
Self.find_by_id
Python
0 vote261 views1 answer
Django authenticate with email
Python
0 vote267 views2 answers
Logarithmic 2d histogram
Python
1 vote256 views1 answer
Django model choice field from another model
Python
0 vote265 views1 answer
Sort series in ascending order
Python
19 votes262 views6 answers
Add item to python list
Python
0 vote295 views1 answer
Python not showing in control panel but showing not installed
Python