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An Introduction to Scientific Python – Matplotlib

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Re: An Introduction to Scientific Python – Matplotlib

#3

Is there a good introduction to using the object oriented interface to matplotlib? I sometimes see it in examples and referenced in the documentation, but I can't really wrap my head around it.

Hmmm, I did a bit of searching and didn't find anything I particularly liked, I guess I'll add this to the list of posts I need to write. Nevertheless, I did find something. Check out these links:

http://matplotlib.org/users/artists.html

http://matplotlib.org/users/transforms_tutorial.html

http://matplotlib.org/users/path_tutorial.html

http://matplotlib.org/users/event_handling.html

Re: An Introduction to Scientific Python – Matplotlib

#5
One of my biggest frustrations with python for data science is how bad the documentation for matplotlib is. Also the default settings leave a lot to be desired - look at the color map scatter plots to see what I mean. What is with all that white-space around the graph?

Re: An Introduction to Scientific Python – Matplotlib

#7

Is there a good introduction to using the object oriented interface to matplotlib? I sometimes see it in examples and referenced in the documentation, but I can't really wrap my head around it.

Anatomy of MatPlotLib is informative and clear. But, alas, not the oop tutorial you're looking for. https://m.youtube.com/watch?v=MKucn8NtVeI&autoplay=1

Re: An Introduction to Scientific Python – Matplotlib

#8
post #4

I needed pixel perfect plots for visualising raster data and did not manage to make it render that. Felt similar to LaTeX: Great if you like what it does by default but don't you dare want something reasonably different. :\

Similar sentiments here. I get slightly further with ggplot2 but still end up fixing stuff manually in Illustrator which adds significant time. Anyone know 1) a more customizable plotting library or 2) a way to apply manual changes to new input pdfs? Biggest sticking points for me are overlapping labels and compositing multiple figures

Re: An Introduction to Scientific Python – Matplotlib

#9

One of my biggest frustrations with python for data science is how bad the documentation for matplotlib is. Also the default settings leave a lot to be desired - look at the color map scatter plots to see what I mean. What is with all that white-space around the graph?

I fully agree with the crappy documentation. Which to be honest isn't consistent with the rest of the python sphere. Documentation tends to be pretty good generally. It's a shame.
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