[FIXED] How do I turn dataframe#1 into something i can properly graph, like dataframe#2?

Issue

I have the following dataframe, based on data i pulled from my database:

date	event_type	count
2022-05-10	page_view	3
2022-05-11	cart_add	2
2022-05-11	page_view	2
2022-05-12	cart_add	1
2022-05-12	cart_remove	1
2022-05-12	page_view	2
2022-05-13	cart_remove	2
2022-05-13	page_view	1
2022-05-14	cart_add	2
2022-05-14	page_view	5

Basically I am tracking 3 things on my website:

1. when a user views a product page
2. when a user adds a product to their cart
3. when a user removes a product from their cart

I'm tracking how often each of these events happens in a day and I want to then graph them all on a single line chart. In order to do that, I think I need to make it look something more like this:

date	page_views	cart_adds	cart_removes
2022-05-10	3	0	0
2022-05-11	2	2	0
2022-05-12	2	1	1
2022-05-13	1	0	2
2022-05-14	5	2	0

I am very new to pandas and not even sure if this library is what I should be using. So forgive my cluelessness, but how do I make dataframe1 look like dataframe2?

Solution

df.pivot(columns='event_type', index='date').fillna(0)

Output:

              count                      
event_type cart_add cart_remove page_view
date                                     
2022-05-10      0.0         0.0       3.0
2022-05-11      2.0         0.0       2.0
2022-05-12      1.0         1.0       2.0
2022-05-13      0.0         2.0       1.0
2022-05-14      2.0         0.0       5.0

Answered By - BeRT2me