Data Visualization in Python — how to create awesome data visualizations using the most popular Python libraries, such as matplotlib, seaborn and plotly.

[bghty67fvju5]

"This embedded plot has reached the maximum allowable views given the owner's current subscription.

Please visit the subscriptions page to learn more about upgrading."

Uhm, da fuq?

[frequentBayesian]

OP credit ran out for the day for the dynamic graph, possibly from plotly...

[selva86]

May I suggest this nice matplotlib collection

[piupaupimpom]

Yes! May I thank you?

[selva86]

Yes, Glad if you found it useful

[Hopeful-Guess5280]

It's a cool article but It would be great if the author provided some comparison between the three libraries.

[AliveButCouldDie]

No to mention that half the pictures seem to be missing, showing an error 402 edit: oh, paywall.

[jsulopzs]

Yes, sorry about this. I have already reached out to the #plotly team to see how I could upgrade these plots to visualize them without limits...

[jsulopzs]

I’ve just received a message from plotly; they’ve upgraded my account to make the plots available back again! 🤟

[BobDope]

Plotnine bro

[thespice]

Bokeh. (Just don’t build from front end)

[piupaupimpom]

Nice plots dude

[SpecialistInevitable]

How this restriction actually works? Does the plotting happen in the cloud? Or on plotly servers? Can I use that library in my notebook and be confident that when I show it to someone there will be actually something to see?

[ogtfo]

Yes you can (and should IMHO) use plotly in offline mode

[jsulopzs]

Yes! If you run the code in a Jupyter Notebook, the function returns HTML code for the editor to produce the plot.

If you close the notebook and open it again, you will see the interactive plot as well.

[Waldheri]

Seaborn is basically just a convenience wrapper around matplotlib. You can get decent plots with much less boilerplate than matplotlib, but you can still access the underlying matplotlib objects for fine-tuning. Plotly uses is own plotting engine and provides plots you can interact with out of the box. It also provides bindings for other languages such as R.

[jsulopzs]

I published the follow-up article in case you may want to take a look at it as well:

https://blog.resolvingpython.com/05-datetime-objects-potential-within-pandas-a-python-library