How do I extract csv file specific columns to a list in Python?

How do I extract a specific column from a CSV file in Python using pandas?

Use pandas.1col_list = ["Name", "Department"]2df = pd. read_csv("sample_file.csv", usecols=col_list)3print(df["Name"])4print(df["Department"])

How do I extract a specific column in Python?

“python extract specific columns from pandas dataframe” Code Answer's1# Basic syntax:2new_dataframe = dataframe. filter(['col_name_1', 'col_name_2'])3# Where the new_dataframe will only have the column names specified.4​5# Note, use df.filter(['names', ... ], axis=0] to select rows.

How do I extract data from a CSV file in Python?

Reading a CSV using Python's inbuilt module called csv using csv.1Import the csv library. import csv.2Open the CSV file. The . ... 3Use the csv.reader object to read the CSV file. csvreader = csv.reader(file)4Extract the field names. Create an empty list called header. ... 5Extract the rows/records. ... 6Close the file.

How do I read a column value from a CSV file in Python?

This can be done with the help of the pandas. read_csv() method. We will pass the first parameter as the CSV file and the second parameter the list of specific columns in the keyword usecols. It will return the data of the CSV file of specific columns.