Introducing plotly.py 3.0.0

Yes, we marked this as a dupe, but on second thought I had a feeling that much of the community didn't see it and—to judge by the comments in the first thread—might like to. So we'll change the URL from https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md to the more-informative blog post and give this one a second chance. We do that sometimes with borderline cases.

Re: Introducing plotly.py 3.0.0

#5

Post by minimaxir » Thu, Jul 05, 2018, 7:57 PM UTC

I did a dataviz livestream yesterday where a couple people asked if they should learn d3 for interactive data visualization.

I strongly suggested using plotly instead (either this Python API or the R/ggplot2 API) as it saved a lot of headaches. The native Notebook capabilities are very nice too. (the hard part is extracting the interactive visualization to use elsewhere)

Re: Introducing plotly.py 3.0.0

#6

Post by jmmease » Thu, Jul 05, 2018, 8:04 PM UTC

minimaxir wrote: post #5

I did a dataviz livestream yesterday where a couple people asked if they should learn d3 for interactive data visualization. I strongly suggested using plotly instead (either this Python API or the R/ggplot2 API) as it saved a lot of headaches. The native Notebook capabilities are very nice too. (the hard part is extracting the interactive visualization to use elsewhere)

Cool! Here are a few ways to get the interactive visualizations elsewhere (outside of the notebook).

1) You can save them to a standalone, self-contained, html file: See https://community.plot.ly/t/proper-way-to-save-a-plot-to-htm...

2) You can save them to an html element and embed them in another web page: See https://stackoverflow.com/a/38032952/4551895

3) You can upload them to plot.ly and share the link

Re: Introducing plotly.py 3.0.0

#7

Post by jjoonathan » Thu, Jul 05, 2018, 8:07 PM UTC

minimaxir wrote: post #5

I did a dataviz livestream yesterday where a couple people asked if they should learn d3 for interactive data visualization. I strongly suggested using plotly instead (either this Python API or the R/ggplot2 API) as it saved a lot of headaches. The native Notebook capabilities are very nice too. (the hard part is extracting the interactive visualization to use elsewhere)

I want to use plotly so badly but I don't want to sink an investment into another sticky commercial ecosystem -- I've had to do that with Mathematica and Matlab, I don't want to do it again. How good/bad is plotly in comparison?

Obviously python itself is open, I mean the API :-)

Re: Introducing plotly.py 3.0.0

#8

Post by jmmease » Thu, Jul 05, 2018, 8:13 PM UTC

jjoonathan wrote: post #7

minimaxir wrote: post #5

I did a dataviz livestream yesterday where a couple people asked if they should learn d3 for interactive data visualization. I strongly suggested using plotly instead (either this Python API or the R/ggplot2 API) as it saved a lot of headaches. The native Notebook capabilities are very nice too. (the hard part is extracting the interactive visualization to use elsewhere)

I want to use plotly so badly but I don't want to sink an investment into another sticky commercial ecosystem -- I've had to do that with Mathematica and Matlab, I don't want to do it again. How good/bad is plotly in comparison? Obviously python itself is open, I mean the API :-)

Actually, you don't need to sink any investment into a commercial ecosystem here!

plotly.py and the plotly.js rendering library are both MIT licensed, developed in the open on GitHub, and totally self-contained.

Everything in the technology stack used in the announcement post is free, open source, self-contained, usable offline, and doesn't require an account. The plot.ly cloud integration is totally optional.

Re: Introducing plotly.py 3.0.0

#9

Post by jjoonathan » Thu, Jul 05, 2018, 8:42 PM UTC

jmmease wrote: post #8

jjoonathan wrote: post #7

Earlier quoted context omitted.

I want to use plotly so badly but I don't want to sink an investment into another sticky commercial ecosystem -- I've had to do that with Mathematica and Matlab, I don't want to do it again. How good/bad is plotly in comparison? Obviously python itself is open, I mean the API :-)

Actually, you don't need to sink any investment into a commercial ecosystem here! plotly.py and the plotly.js rendering library are both MIT licensed, developed in the open on GitHub, and totally self-contained. Everything in the technology stack used in the announcement post is free, open source, self-contained, usable offline, and doesn't require an account. The plot.ly cloud integration is totally optional.

Cool! I'll have to give it a look then!

Re: Introducing plotly.py 3.0.0

#10

Post by lorenzfx » Thu, Jul 05, 2018, 9:27 PM UTC

I really like plotly, but I'm wondering if anyone has some experience with plotly AND with some other interactive plotting libraries for python (e.g., bokeh or altair). Where are the strengths and weaknesses? Which package to you prefer?