Switch to Bokeh for charts?

[papajohn]

Bokeh now supports Python 3. The charts that are rendered support zooming and look nice. (Their mapping functionality looks less useful than folium, though.)

[a-adhikari]

Bokeh charts look great! Happy to support whatever you think is feasible.
Ani

On Sep 6, 2015, at 8:50 AM, John DeNero notifications@github.com wrote:

Bokeh now supports Python 3. The charts that are rendered support zooming and look nice. (Their mapping functionality looks less useful than folium, though.)

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[elaine84]

We would love to see this functionality for the geospatial connector for KDE mapping @pattyf

[papajohn]

I tried to implement our current behavior using bokeh, but the following Bokeh issues will need to be resolved first.

Density doesn't work: bokeh/bokeh#3576
Bins is inflexible: bokeh/bokeh#3398
No histogram from counts: bokeh/bokeh#3842

[a-adhikari]

Thanks for testing this out, John. Indeed, those issues are critical :)
Ani

On Sun, Feb 7, 2016 at 11:20 AM, John DeNero notifications@github.com
wrote:

I tried to implement our current behavior using bokeh, but the following
Bokeh issues will need to be resolved first.

Density doesn't work: bokeh/bokeh#3576
bokeh/bokeh#3576
Bins is inflexible: bokeh/bokeh#3398
bokeh/bokeh#3398
No histogram from counts: bokeh/bokeh#3842
bokeh/bokeh#3842

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#55 (comment).

Ani Adhikari
Teaching Professor
Department of Statistics
University of California, Berkeley

[ryanlovett]

https://bids.berkeley.edu/events/telling-your-data-story-bokeh

Fyi, there's an upcoming BIDS talk on Bokeh by one of its core developers.

Ryan

On Sun, Sep 6, 2015 at 9:41 AM, a-adhikari notifications@github.com wrote:

Bokeh charts look great! Happy to support whatever you think is feasible.
Ani

On Sep 6, 2015, at 8:50 AM, John DeNero notifications@github.com
wrote:

Bokeh now supports Python 3. The charts that are rendered support
zooming and look nice. (Their mapping functionality looks less useful than
folium, though.)

—
Reply to this email directly or view it on GitHub.

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Reply to this email directly or view it on GitHub
#55 (comment).