/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

0 vote140 views1 answer
Code folding vim python
Python
6 votes136 views1 answer
Django model form
Python
0 vote159 views1 answer
Django queryset to form
Python Django
0 vote126 views1 answer
Aiohttp get
Python
13 votes127 views1 answer
Change background color of tkinter
Python
1 vote116 views1 answer
How to scroll down to end of page in selenium python
Python
0 vote126 views1 answer
Ursina code
Python
0 vote167 views1 answer
Flask No application found. Either work inside a view function or push an application context
Python Flask
5 votes149 views1 answer
How to delete everything on a file python
Python
0 vote127 views1 answer
Production mode flask
Python