/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 vote269 views1 answer
Como escribir letras griegas en python
Python
45 votes259 views3 answers
Python change filename
Python
0 vote279 views1 answer
Python returning rows and columns from a matrix string
Python
0 vote271 views1 answer
Pydrive set parents
Python
103 votes283 views6 answers
Rename column pandas
Python
0 vote284 views1 answer
Heroku run python manage.py migrate
Python
1 vote278 views1 answer
Dataframe KeyError:
Python
0 vote312 views1 answer
Inline if statement python return
Python
0 vote265 views1 answer
Size of the query process in python BigQuery
Python
6 votes288 views6 answers
Install pip python 3.9
Python