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Learning Jupyter 5

You're reading from   Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter Java Coding 6. Jupyter JavaScript Coding 7. Jupyter Scala 8. Jupyter and Big Data 9. Interactive Widgets 10. Sharing and Converting Jupyter Notebooks 11. Multiuser Jupyter Notebooks 12. What's Next? 13. Other Books You May Enjoy

Python graphics in Jupyter

How do Python graphics work in Jupyter?

I started another view for this named Python graphics so as to distinguish the work.

If we were to build a sample dataset of baby names and the number of births in a year of that name, we could then plot the data.

The Python coding is simple:

import pandas 
import matplotlib 
 
%matplotlib inline 
 
# define our two columns of data 
baby_name = ['Alice','Charles','Diane','Edward'] 
number_births = [96, 155, 66, 272] 
 
# create a dataset from the to sets 
dataset = list(zip(baby_name,number_births)) 
dataset 
 
# create a Python dataframe from the dataset 
df = pandas.DataFrame(data = dataset, columns=['Name', 'Number']) 
df 
 
# plot the data 
df['Number'].plot() 

The steps for the script are as follows:

  1. Import the graphics library (and...
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