Here’s my current use case:
I have a csv file of around 15000 rows and 10 columns of numeric data. I’d like a horizontal bar chart for a given row. I’d like the user to type in an index value (here a zip code string) to update the bar chart.
Currently, I import the csv into a pandas dataframe. I could easily do this without pandas but I’m not sure this would help use bokeh callbacks. I don’t think I’d be able to use a python callback due to limitations of pyscript.
Thanks for any suggestions,
On Tuesday, December 8, 2015 at 3:43:56 PM UTC-5, Fabio Pliger wrote:
If you intend a “server side callback” the current charts do not support data update “out of the box”. This is on our radar and I hope we can get to an initial working support soon.
In case you mean a “client side JS callback” then the answer is no and it’s likely to not be supported in the near future since most of the charts data computation, transformations, grouping and filtering happens on the python side. You could update the datasources somehow but you’d need to do all the computation that Charts is doing for you on the JS side (and at this point you’d have more reason to use plotting API than charts)
On Tue, Dec 8, 2015 at 12:17 PM, Avi Shapiro [email protected] wrote:
The examples I’ve seen using interactions and callbacks operate on bokeh.plotting objects with data stored in a ColumnDataSource. Is it possible to use high level charts with callbacks and update charts using pandas DataFrames? If not I’ll use bokeh.plotting glyphs but it would be nice if I didn’t have to.
I’m just trying to plot a bar chart that depends on a TextInput with callbacks. If the user types new text in the field, I want the bar chart to change.
I’m using python 2.7.10, bokeh 0.11.0dev2, and Windows 7.
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Senior Software Engineer, Bokeh