/Python/Python extract specific columns from pandas dataframe

Python extract specific columns from pandas dataframe

# Basic syntax:
new_dataframe = dataframe.filter(['col_name_1', 'col_name_2'])
# Where the new_dataframe will only have the column names specified

# Note, use df.filter(['names', ... ], axis=0] to select rows

Source: pandas.pydata.org

Extract one column from dataframe python

import pandas as pd

input_file = "C:\\....\\consumer_complaints.csv"
dataset = pd.read_csv(input_file)
df = pd.DataFrame(dataset)
cols = [1,2,3,4]
df = df[df.columns[cols]]

Source: stackoverflow.com

Similar codes

0 vote101 views1 answer
Python - remove columns with same name and keep first
Python
0 vote104 views2 answers
Iterate a list of tuples
Python
0 vote97 views1 answer
How to assign a new value in a column in pandas dataframe
Python
0 vote99 views1 answer
Colorama input python
Python
2 votes151 views5 answers
Django documentation
Python Django
1 vote101 views1 answer
Error bar plot python
Python
5 votes106 views3 answers
How to save unzipped files in python
Python
0 vote100 views1 answer
Add url parameter in anchor django template
Python
0 vote99 views1 answer
Queryset.raw() in django rest framework joining tables
Python
0 vote97 views1 answer
Renpy hide textbox
Python