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You're reading from  Learning Jupyter

Product typeBook
Published inNov 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781785884870
Edition1st Edition
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Dan Toomey
Dan Toomey
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Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
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Julia Vega plotting


Another popular graphics package is Vega. The main feature of Vega is the ability to describe your graphic using language primitives, such as JSON. Vega produces most of the standard plots. Here is an example script using Vega for a pie chart:

#Pkg.add("Vega")
#Pkg.add("Compat")
#Pkg.add("Patchwork")
using Vega
using Compat
using Patchwork
Patchwork.load_js_runtime()
stock = ["chairs", "tables", "desks", "rugs", "lamps"];
quantity = [15, 10, 10, 5, 20];
piechart(x = stock, y = quantity)

The generated graphic produced in Jupyter is shown in the following screenshot:

Note

Vega gives you the option on the resultant display to Save As PNG.

Julia PyPlot plotting

Another plotting package available is PyPlot. PyPlot is one of the standard Python visualization libraries and is directly accessible from Julia. We can take this small script to produce an interesting visualization:

#Pkg.add("PyPlot")
using PyPlot
precipitation = [0,0,0,0,0,0,0,0,0,0,0.12,0.01,0,0,0,0.37,0,0,0,0,
...
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Learning Jupyter
Published in: Nov 2016Publisher: PacktISBN-13: 9781785884870

Author (1)

author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey