/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 vote119 views1 answer
How to remove blank lines from string in python
Python
-1 vote98 views1 answer
Matplotlib units of scatter size
Python
0 vote138 views1 answer
From flask_paginate import get_page_parameter
Python Flask
0 vote103 views1 answer
Python run bat in new cmd window
Python
0 vote102 views1 answer
Drop row with duplicate value
Python
2 votes109 views1 answer
How to check how much time elapsed Python
Python
0 vote97 views2 answers
Pip install chatterbot
Python
0 vote71 views0 answer
Python
0 vote105 views1 answer
Prettify json in pycharm
Python
0 vote115 views1 answer
Python , cv2 change font type
Python