/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

7 votes208 views3 answers
Pandas df remove index
Python
0 vote219 views2 answers
Loop through groupby pandas
Python
8 votes192 views6 answers
Python int to binary
Python
0 vote183 views1 answer
Email grabber python
Python
0 vote268 views1 answer
Django graphene without model
Python Django
0 vote190 views1 answer
WSGIPassAuthorization on
Python
0 vote492 views2 answers
Sum python
Python
2 votes195 views1 answer
Auto datetime in django models
Python
1 vote189 views4 answers
Arithmetic operators in python
Python
0 vote204 views1 answer
Pthon return value with highest occurences
Python