On Jun 12, 2018, at 08:33, Angelo Fausti <angelofausti@gmail.com> wrote:
Hi Bryan,
wanted to share this technote that features the Bokeh Models API and the "additive development" approach
SQR-022: Creating new charts with the Bokeh Models API
thanks,
Angelo Fausti
On Thu, Jun 7, 2018 at 1:58 PM, Angelo Fausti <angelofausti@gmail.com> wrote:
Thanks Brian,
it makes sense now. I have to initialize the FactorRange with the possible factors first, which may not necessarily be the values in the ColumnDataSource.
plot = Plot(x_range=DataRange1d(), y_range=FactorRange(factors=['A', 'B', 'C']), y_scale=CategoricalScale())
source = ColumnDataSource({'labels': ['A', 'B', 'C'],
'values': [8.0, 11.0, 22.0],
'stretch': [5, 5, 10],
'design': [10, 10, 15],
'minimum': [20, 20, 30]})
hbar = HBar(y='labels', left='stretch', right='minimum', height=0.5)
plot.add_glyph(source, hbar)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
show(plot)
Angelo Fausti
On Thu, Jun 7, 2018 at 1:35 PM, Bryan Van de ven <bryan@bokeh.org> wrote:
Hi,
Your FactorRange appears to be unconfigured. It has a "factors" property that needs to list all the categorical factors in the desired order for the axis.
Thanks,
Bryan
> On Jun 7, 2018, at 13:29, Angelo Fausti <angelofausti@gmail.com> wrote:
>
> Inspired by this post (https://bokeh.github.io/blog/2017/7/5/idiomatic_bokeh/\) I am trying to compose glyphs to create a new chart.
>
> I can add a HBar using linear scale in both x and y axis but I need the y axis to be categorical.
>
> What I am doing wrong?
>
> from bokeh.io import curdoc, show, output_notebook
> from bokeh.models import Plot, ColumnDataSource, DataRange1d, FactorRange, LinearAxis
> from bokeh.models.scales import CategoricalScale
> from bokeh.models.glyphs import HBar
> output_notebook()
>
> plot = Plot(x_range=DataRange1d(), y_range=FactorRange(), y_scale=CategoricalScale())
>
> source = ColumnDataSource({'labels': ['A', 'B', 'C'],
> 'minimum': [5, 5, 10],
> 'maximum': [20, 20, 30]})
>
> hbar = HBar(y='labels', left='minimum', right='maximum', height=0.5)
> plot.add_glyph(source, hbar)
>
> xaxis = LinearAxis()
> plot.add_layout(xaxis, 'below')
>
> show(plot)
>
> thanks,
> Angelo Fausti
>
>
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