Python Programming using Jupyter Notebook: Add the total streams for each artist. Position Track Name Artist Streams 1 thank u, next Ariana Grande 711517 2 Sunflower - Spider-Man: Into the Spider-Verse Post Malone 637854 3 thank u, next Ariana Grande 368408 4 Better Now Post Malone 337854 5 Better Now Post Malone 394459 6 Santa Tell Me Ariana Grande 354672 7 when the party's over Billie Eilish 387693 8 Wow. Post Malone 158795 9 lovely Billie Eilish 877108 10 no tears left to cry Ariana Grande 273941
Python Programming using Jupyter Notebook: Add the total streams for each artist. Position Track Name Artist Streams 1 thank u, next Ariana Grande 711517 2 Sunflower - Spider-Man: Into the Spider-Verse Post Malone 637854 3 thank u, next Ariana Grande 368408 4 Better Now Post Malone 337854 5 Better Now Post Malone 394459 6 Santa Tell Me Ariana Grande 354672 7 when the party's over Billie Eilish 387693 8 Wow. Post Malone 158795 9 lovely Billie Eilish 877108 10 no tears left to cry Ariana Grande 273941
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
Python Programming using Jupyter Notebook:
Add the total streams for each artist.
Position | Track Name | Artist | Streams |
1 | thank u, next | Ariana Grande | 711517 |
2 | Sunflower - Spider-Man: Into the Spider-Verse | Post Malone | 637854 |
3 | thank u, next | Ariana Grande | 368408 |
4 | Better Now | Post Malone | 337854 |
5 | Better Now | Post Malone | 394459 |
6 | Santa Tell Me | Ariana Grande | 354672 |
7 | when the party's over | Billie Eilish | 387693 |
8 | Wow. | Post Malone | 158795 |
9 | lovely | Billie Eilish | 877108 |
10 | no tears left to cry | Ariana Grande | 273941 |
Expert Solution
Step 1
pandas library
The tabular data are managed by the Pandas module, which provides some sets of powerful tools like Series and Dataframe.
numpy library
Numerical data are managed by the Numpy module that offers a powerful object called an array.
Loading excel file from jupyter itself
data = pd.read_excel ('Filename.xlsx')
Loading excel file from any location
data = pd.read_excel (r'Path of the Excel file location\File name.xlsx')
The GroupBy object
groupby object supports column indexing in the similar fashion as the dataframes
sum() in numpy is use for sum of items
Step by step
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