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Download Ebook Matplotlib Plotting Cookbook
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Matplotlib Plotting Cookbook
Download Ebook Matplotlib Plotting Cookbook
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About the Author
Alexandre Devert Alexandre Devert is a scientist, currently busy solving problems and making tools for molecular biologists. Before this, he used to teach data mining, software engineering, and research in numerical optimization. He is an enthusiastic Python coder as well and never gets enough of it!
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Product details
Paperback: 222 pages
Publisher: Packt Publishing - ebooks Account (March 26, 2014)
Language: English
ISBN-10: 1849513260
ISBN-13: 978-1849513265
Product Dimensions:
7.5 x 0.5 x 9.2 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
3.7 out of 5 stars
14 customer reviews
Amazon Best Sellers Rank:
#594,880 in Books (See Top 100 in Books)
A book worth having as it is often easier to read a book and browse it for examples than to scavenge the web for examples and documentation. My principal disappointment is that the book never really stops and pauses to carefully explain the 'object oriented' (OO) or 'pythonic' approach to manipulating figures in matplotlib. If you are like me you were moved to buy a matplotlib cookbook/manual primarily because you are trying to learn scientific python plotting but 90% of the interesting examples you can find uses this OO approach.The first 115 pages of this book assumes you're not interested in that at all but instead in the easier to learn and explain approach to plotting which hides a lot of detail behind the scenes. I agree this is the way to start, but I kept expecting a full new chapter to arrive that would finally pause to explain the grand design/OO-oriented philosophy behind Matplotlib which would help me understand how/why things work. But there is no such chapter or section.Finally on page 116 we do get a brief mention of the way that matplotlib really works "behind the scenes" with the explanation that [and I quote] "...[A] figure object represents a figure as a whole. Usually, this object is created implicitly, behind the scenes...by creating the object explicitly, we can control various aspects of a figure, including its aspect ratio."Great, I thought, matplotlib's secrets are finally about to be revealed.... but that was only a passing mention. It's not until page 135 that we see code again now this time finally explicitly creating a figure object instance with "fig = plt.figure(...)". There are several more examples in the book like this after this that follow the object-instance approach, and these have been very useful for finally figuring things out myself.. But I think an opportunity was missed to make this a much more useful book. All that said, I'm not at all sorry I purchased this and I don't see much else out there that is similar (which is surprising)..
Too short but not bad. Very useful.
As a frequent matplotlib user I have to say that this book really fulfills it's promise as a cookbook by covering the most common use cases, and it is a pretty good and thorough introduction for beginners too (Python beginners as well as matplotlib beginners). However, the problem of this book is that there is the (free) matplotlib gallery (http://matplotlib.org/gallery.html) which also has plenty of very good examples, and I can imagine that it is a tough job as an author to add additional value to that.What this book does very well is introducing matplotlib quite gently in the first chapter, which makes it quite attractive for Python & matplotlib beginners. But also here, we have the alternative free user guide available online http://matplotlib.org/contents.htmlMy main point of criticism why I find the matplotlib.org resources more accessible might be that they are actually in color: the plot and the code syntax. Unfortunately, the book only uses colors throughout the first chapter (and very very rarely for a handful of other plots later on), so that the largest portion of the plots are in gray-scale - also no syntax highlighting throughout this book. Since I have the ebook version, I do not fully understand why there is no coloring throughout the other chapters (especially the 2nd chapter, which is called "Chapter 2: Customizing Colors and Styles").But overall, it covers matplotlib pretty well, and I'd recommend it as an alternative to the resources matplotlib.org. But to it's defense, my hard copy of the "Gnuplot in Action" is also presented in gray-scales, and the "R Graphic's cookbook" also only makes use of colors rather sparingly. However, I think, nowadays in 2014 I'd at least expect the ebook to be in color - especially if you want to make it more attractive than the freely available online resources.Not a real point of criticism but more like a suggestion for future editions: as big fan of it, I was actually looking for this section that mentions how to use it in IPython notebooks (%pylab inline vs. matplotlib inline), and maybe also plotly for additional value :)
First of all, the book is very easy to read. Most of the book is filled with recipes code examples and their illustrated outputs. So, it would be fairly simple to complete this book in a day or two.Secondly, I agree with the other review that this book would be quite useful to beginners who are just starting out with Python + Matplotlib. In addition, there are a few recipes inside that could save time for intermediate and expert users. For example, I found some of the recipes for 3D plotting useful, but your mileage could vary depending on your data. The last few recipes show how to interface Matplotlib with Python GUI interfaces and this could also be helpful.However, I feel that the price of the book is high ($40+) considering the material it offers. After all, Matplotlib is technically free to use and has free, well-presented documentation online. This book does not substitute the online documentation at all - rather, it presents a subset of the most useful instructions to get things shaking fast.
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