/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

Python: select specific columns in a data frame

df = df[["Column_Name1", "Column_Name2"]]

Source: stackoverflow.com

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

Get particular columns from dataframe

x, y = df.iloc[:, [0]], df.iloc[:, [1]]

Source: stackoverflow.com

Similar codes

0 vote162 views1 answer
Socket python how to check if server alive
Python
2 votes165 views1 answer
Google calendar Request had insufficient authentication scopes.
Python
0 vote156 views1 answer
405 status code django
Python
0 vote238 views1 answer
Extra import on django
Python Django
10 votes184 views2 answers
Selenium refresh page python
Python
0 vote176 views1 answer
Pyplot width
Python
21 votes170 views5 answers
Basic tkinter window
Python
0 vote193 views1 answer
Corona data with python flask get pdf
Python
0 vote165 views1 answer
Fibonacci sequence in python using whileloop
Python
16 votes172 views1 answer
Python reload function from file
Python