/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 vote279 views1 answer
Fnd closest element in array numpy
Python
1 vote282 views2 answers
'Sequential' object has no attribute 'predict_classes'
Python
0 vote292 views1 answer
Torch print floating precision
Python
0 vote275 views3 answers
Join list with comma python
Python
39 votes274 views2 answers
Python file from path
Python
0 vote282 views1 answer
How to convert categorical data to binary data in python
Python
10 votes355 views6 answers
Remove unnamed columns pandas
Python
5 votes301 views2 answers
Django form password field
Python Django
0 vote283 views1 answer
List of files to zip python
Python
6 votes320 views5 answers
Discord.py get channel object from id
Python