Скачать или смотреть Pandas Pro Tips: How to Change Column Positions with Reindex in Pandas

Welcome to DataZ, the channel where we explore all things data and analytics. In this tutorial, we'll be learning about how to change the position of data frame columns with reindex in Pandas.

If you've ever worked with data frames, you know how important it is to have your columns in the right order. Maybe you're working with data from multiple sources, or you just want to organize your data in a way that makes more sense to you. Whatever the reason, being able to rearrange the order of columns in a data frame is a useful skill that can save you time and hassle.

In this tutorial, we'll be using a simple example of stock market data for Google. We'll load the data into a Pandas data frame using the read_csv function, and then we'll rearrange the columns so that the "Date" column is first.

After loading the data into a data frame, we create a new order of columns that puts "Date" first, followed by the remaining columns in their original order. Then, we use the reindex function to create a new data frame with the columns in the new order, and we also update the original data frame in place.

By following these simple steps, you can rearrange the order of columns in your data frame and make your analysis more efficient. Watch the tutorial to learn more and don't forget to like and subscribe to DataZ for more data-related content.

Thanks for watching!

#datascience
#python
#pandas
#reindex
#data