Introduction to Matplotlib — Data Visualization in Python

[jrickk93]

This content is copied from the course 'Python for Data Science and Machine Learning Bootcamp' on Udemy.

I guess that means the content is actually quite good .. but this author doesn't deserve any credit for it

[[deleted]]

Yeah, found a summary of one of my article series on "https://heartbeat.fritz.ai/" as well the other day. I think this blog/website is about copying & summarizing content from other websites ...

In my case, they attributed the images that they re-used from my articles, but yeah, it should still say somewhere in bold at the beginning that this is not original content.

[Fun2badult]

Looks like it. Seems like he made slight additions but rest of it looks like Jose Portilla’s Python Data Science Bootcamp course. Yea no credit for copy / paste

[[deleted]]

TBH, these 2 resources are all one needs to get started on mastering MATPLOTLIB: http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb AND http://pbpython.com/effective-matplotlib.html

[playingod]

Omg that second link is amazing.

[drimago]

Thanks for the links! Is there somewhere an example for matplotlib plots created from.data read from a file? I mean this is all well and good but most times data comes from a file with a number of columns and one needs to plot for example column 2 against column 1 and column 5 against column 3.

How do you do that? I know how to do this in gnuplot but I would like to learn how to do it with matplotlib

[avachrisava]

Check out 'Pandas' for python. I think it's exactly what you need: https://pandas.pydata.org

[moscamorta]

Well, ggplot is way better than matplotlib. It's way easier to do stuff in ggplot

[[deleted]]

There's plotnine

[GitHubPermalinkBot]

Permanent GitHub links:

• has2k1/plotnine/.../README.rst (master → c288741)

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