how to Select Specific Columns in a Pandas DataFrame in Python

Working with data is an increasingly important aspect of many fields, including business, science, and technology. Pandas is a popular data manipulation library in Python that allows users to analyze, manipulate, and clean data. 

Selecting specific columns in a Pandas DataFrame is a common task in data analysis. It can help users to focus on relevant information, improve data processing efficiency, and simplify data visualization. 

• df.loc is a method in Pandas that is used to select a subset of rows and columns from a DataFrame based on the labels of the rows and columns. df.loc[row_labels, column_labels] 
• append() method in Pandas is used to append rows of a DataFrame to another DataFrame. It takes another DataFrame as an argument and appends the rows of that DataFrame to the end of the original DataFrame. 

This code uses df.loc and .append() to select a subset of columns from a DataFrame and create a new DataFrame with only those columns. Selecting specific columns in a Pandas DataFrame is a useful skill for anyone who works with data and can help improve the efficiency and accuracy of data analysis and processing. 

Here is an example of how to Selecting Specific Columns in a Pandas DataFrame in Python: 

Preview of the output that you will get on running this code.

Code

In this code we have used Dataframe.loc[] Function . This function is used for positions or integer based

1. Copy this code using "Copy" button above and paste it in your Python ide
2. Import Pandas library of python.
3. Run the code to get a Selection of column

I hope you have found this useful. I have added the dependent library and version information in the following section.

I found this code snippet by searching "Pandas select Separate columns" in kandi. you can try any use case.

Note:-

• Import pandas in your terminal at the start of the code
• create your own dataframe eg: df = pd.DataFrame({'a':[1,2,3],'b':[4,5,6],'c':[1,2,3],'d':[4,5,6]})
• Create your own variable to store the new Dataframe in line 3 . eg: a
• And print that variable using print()

Environment Tested

In this solution we have used the following versions. Be mindful to change when working with other versions.

1. This solution is created using Python version 3.7.15
2. This solution is Tested using Pandas 1.5.2

Using this solution we can able to select a column in dataframe using Pandas library in python with simple Steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us select a column in Dataframe Index from column in Python.

Dependent Library

If you do not have Pandas that is required to run this code you can install it by clicking on th above link and copying the pip install command from the pandas page in Kandi. You can search for any dependent library in Kandi like Pandas.

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