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How to plot a large number of vbar in a Bokeh figure


How to plot a large number of vbar in a Bokeh figure

By : Iquwal Khan
Date : October 18 2020, 03:08 PM
fixed the issue. Will look into that further As of version 0.12.16 Bokeh only supports initially showing all the factors. There is no mechanism to show only some subset. You can open a GitHub issue if you would like to discuss adding this as a feature.
code :


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Bokeh (Python) Figure.vbar() vs Bar()

Bokeh (Python) Figure.vbar() vs Bar()


By : Raman Multani
Date : March 29 2020, 07:55 AM
hope this fix your issue bar is from the high level Charts interface. It gives you quick, easy access to bar charts with limited control.
vbar is from the mid level Plotting interface and gives you more control over the layout of your bar chart. Alternatives to vbar would be rect and quad, both from the Plotting interface. They give a few distinctive options for bar shape, location, etc.
How to draw categorical bar plot using vbar method in Bokeh plotting module

How to draw categorical bar plot using vbar method in Bokeh plotting module


By : user78731
Date : March 29 2020, 07:55 AM
this one helps. When creating the plot, you need to define that the plot will take factors for it's x_range.
code :
plot = figure(plot_width=600, plot_height=300,
              x_axis_label=x_label,
              y_axis_label=y_label,
              title=title,
              x_range=FactorRange(factors=list(dat.category))
              )
def update():
        source.data = dict(
            x = dat.category,
            y = dat.amount
        )
        plot.x_range.factors = list(source.data['x'])
categorical y-axis and datetime x-axis with Bokeh vbar plot

categorical y-axis and datetime x-axis with Bokeh vbar plot


By : J.Fan
Date : March 29 2020, 07:55 AM
Hope this helps Just ran into this problem myself. With a datetime x-axis, the vbar width needs to be huge since the datetime axis must have a resolution of milliseconds.
width=3600000 (3.6 million) gives bar widths of 1 hour, for example.
Bokeh vbar figure with reversed y-axis

Bokeh vbar figure with reversed y-axis


By : Jogvan
Date : March 29 2020, 07:55 AM
I hope this helps you . Bokeh vbar has bottom=0 as the default so if you flip the axis, and leave that default, then it only makes sense for the bar to flip as well. Presumably you would want to set bottom=6 (or whatever makes sense as the "lowest" value on your scale).
Bokeh Position Legend outside plot area for stacked vbar

Bokeh Position Legend outside plot area for stacked vbar


By : Sávio Evaristo
Date : March 29 2020, 07:55 AM
wish helps you For anyone interested, have now fixed this using simple indexing of the vbar_stack glyphs. Solution below:
code :
from bokeh.plotting import figure
from bokeh.io import show
from bokeh.models import Legend

months = ['JAN', 'FEB', 'MAR']
categories = ["cat1", "cat2", "cat3"]
data = {"month" : months,
        "cat1"  : [1, 4, 12],
        "cat2"  : [2, 5, 3],
        "cat3"  : [5, 6, 1]}
colors = ["#c9d9d3", "#718dbf", "#e84d60"]

p = figure(x_range=months, plot_height=250, title="Categories by month",
           toolbar_location=None)
v = p.vbar_stack(categories, x='month', width=0.9, color=colors, source=data)

legend = Legend(items=[
    ("cat1",   [v[0]]),
    ("cat2",   [v[1]]),
    ("cat3",   [v[2]]),
], location=(0, -30))

p.add_layout(legend, 'right')

show(p)
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