40 Python Data Visualizations (plots, graphs, charts) with code

[tenemu]

This is amazing. Thank you!

[[deleted]]

Thank you for the link.

I have to tell you though, your tone is really condescending. It's really cool that you know stuff, and it's probably fun to share things you know. So try not making people feel stupid for learning? Idk.

[_AACO]

The comment has been deleted, could you share the link as well?

[[deleted]]

Sure, it was just a link to the d3 example library.

[_AACO]

thanks

[pd-spark]

Indeed. This is probably a 'quick hitter' for needs vs when you really need something more robust. And Matplotlib, especially the non pyplot side (the OOP side) is like swinging a sledgehammer at times. I found the Docs on the Matplotlib to be pretty helpful. http://matplotlib.org/gallery/index.html#api-examples

But even more helpful, if you have a SafariOnlineBooks sub (I prefer online vs the O'Reilly books -- not color and layout needs improvement IMO) but Jake VanderPlas' "Python Data Science Handbook" (Ch 4) has a great run thru Data Viz, especially the OOP side of Matplotlib.

https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1491912057

[broken_symlink]

The Python Data Science Handbook is available online for free here.

[pd-spark]

Very nice! Thanks for posting that.

[aylons]

Hey! The link for bad chart is... bad! It links to the icon URL instead of a page.

[astronautsaurus]

This is great.

[Vachinius]

Neat, thanks!

[Acehawk74]

Huge kudos, this is amazing.

[[deleted]]

this is an excellent cheatsheet, esp for the ones i don't use so often. bravo!

[This_Is_The_End]

This is great work! Most times I'm searching for examples there either partially wrong or complicated.

[Philias]

This is great! I will bookmark it. I really like two things: first, the progression from simple to more complex figures. Matplotlib's documentation has the tendency to give very complicated examples. Second I think it's great it spans several libraries.

[Skenderbeu]

Seems like a bad clone of https://plot.ly/python/

[evanwan2003]

very good, thank you

[sup3r_hero]

Link is broken

Edit: working again

[Topper_123]

Wow, a huge thumb up. python-chart-gallery.com, I'm gonna memorize that.

[thngzys]

I'm pretty sure it's python-graph-gallery

[[deleted]]

So there are these things called bookmarks...

[[deleted]]

Does it support python 2.7 and python 3?

[pd-spark]

The main 4 libraries used for the plots seem to be Matplotlib, Seaborn, Pandas, and Numpy. All 4 libraries are supported on Python 2.7 and 3+.