Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hands-On Recommendation Systems with Python

You're reading from   Hands-On Recommendation Systems with Python Start building powerful and personalized, recommendation engines with Python

Arrow left icon
Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788993753
Length 146 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Rounak Banik Rounak Banik
Author Profile Icon Rounak Banik
Rounak Banik
Arrow right icon
View More author details
Toc

Exporting the clean DataFrame

In the previous chapter, we performed a series of data wrangling and cleaning processes on our metadata in order to convert it into a form that was more usable. To avoid having to perform these steps again, let's save this cleaned DataFrame into a CSV file. As always, doing this with pandas happens to be extremely easy.

In the knowledge recommender notebook from Chapter 4, enter the following code in the last cell:

#Convert the cleaned (non-exploded) dataframe df into a CSV file and save it in the data folder
#Set parameter index to False as the index of the DataFrame has no inherent meaning.
df.to_csv('../data/metadata_clean.csv', index=False)

Your data folder should now contain a new file, metadata_clean.csv.

Let's create a new folder, Chapter 4, and open a new Jupyter Notebook within this folder. Let's now import our new...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image