On Aug 23, 2018, at 00:47, André <odegardstuen@gmail.com> wrote:
Thank you for your reply
I am having trouble applying your suggestion to my plot, as it is a stacked plot and the example only covers a regular bar plot.
When passing data to a stacked bar plot each stack have its own source column of data, so I tried passing a list of column names of columns with factors instead of name of a single column to factor_cmap, but got an error.
On Wednesday, August 22, 2018 at 6:34:07 PM UTC+2, Bryan Van de ven wrote:
Hi,
If you have a column in your data source that has the categories, then you should be able to do something like:
color=factor_cmap('colname', palette=list_of_colors, factors=['A','B','C','D','E'])
See e.g. the second example here:
https://bokeh.pydata.org/en/latest/docs/user_guide/categorical.html#colors
Bryan
> On Aug 22, 2018, at 06:05, André <odegar...@gmail.com> wrote:
>
> Hi,
>
> I am trying to make a hbar_stack plot for to visualize following properties:
>
> 11 entries along y-axis (name1, name2, ...) with 15 values for each entry to be plotted along the y-axis as bars.
> Each value come from one of 5 categories: ['A','B','C','D','E'], I want the color of the bar to represent the respective category.
>
> So far I've followed the stacked_split example from
> https://bokeh.pydata.org/en/latest/docs/user_guide/categorical.html
>
> I can plot the data as I've intended, but not been able to color the bars. My problem is similar, but instead of having imports from each year, I have imports from different countries wich may not be the same for all fruits. I want the color to represent countries!
>
> I've tried looking at the autompg example from the same page as I figured it could have some clues to my problem, but haven't been able to apply the color handling to hbar_stack.
>
> I am fairly new to Bokeh, but so far I am really enjoying it and I think the documentation is great. Reading older comments on Bokeh, it is clear that someone must have done a good job at improving both documentation and use friendly-ness.
>
>
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