Here we are using a CSV file to extract the specific column. We have to read the data (information) from the CSV file. We can tell read_csv() to only import those columns by specifying columns by their index number (starting at 0) as a list to the usecols parameter. In Pandas, we can use double square brackets to select multiple columns from a data frame [[]]. To read a specific column from a CSV file, read_csv() is used. Call pd. read_csv(file_name, usecols=cols_list) with file_name as the name of the CSV file to read a CSV file. If you have a DataFrame, you can use square brackets or other advanced methods such as loc and iloc to access or select a specific few rows/columns from that DataFrame.
Use square brackets [] with the column name to select a single column. When we create a Data Frame, columns contain different fields containing their particular values. We can also do certain operations on both row & column values. We can copy some specific columns of an old Data Frame in pandas. This is an easy task in pandas.
We need to import the pandas' package first to work with pandas. Below is the syntax:
import pandas as pd
While processing data multiple times, extracting specific columns and storing them in a new data frame is important. The simplest way to extract columns is to select the columns from the original DataFrame using the [] operator and then copy it using the pandas.DataFrame.copy() function.
Here is an example of how to extract a specific column from Pandas Dataframe:
Preview of the output that you will get on running this code from your IDE.
Code
In this solution we used pandas library of python.
Instructions
Follow the steps carefully to get the output successfully:
- Copy the code using the "Copy" button above, and paste it in a Python file in your IDE(Pycharm Preferable).
- Run the file to generate the output.
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for "Extracting specific columns from pandas.dataframe"in kandi. You can try any such use case
Environment Tested
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in Python 3.11.1 Version
- The solution is tested on pandas 1.5.2 Version
Using this solution, we can Extracting specific columns from pandas dataframe.This process also facilities an easy to use, hassle free method to create a hands-on working version of code in python.
Dependent Library
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)
If you do not have pandas library that is required to run this code, you can install it by clicking on the above link.
You can search for any dependent library on kandi like pandas.
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