Hi all, I want to plot a figure like above.
xlist = [94,88,90,20] and
ylist = [‘a’,‘b’,‘c’,‘d’,]
I read bokeh doc but not find proper API to plot a picture like above.Can somebody help? Thanks!
Hi all, I want to plot a figure like above.
xlist = [94,88,90,20] and
ylist = [‘a’,‘b’,‘c’,‘d’,]
I read bokeh doc but not find proper API to plot a picture like above.Can somebody help? Thanks!

Hi,
Categorical axes are described here in the user's guide:
Thanks,
Bryan
On Jul 10, 2016, at 7:58 AM, kenan3015@gmail.com wrote:
Hi all, I want to plot a figure like above.
xlist = [94,88,90,20] and
ylist = ['a','b','c','d',]
I read bokeh doc but not find proper API to plot a picture like above.Can somebody help? Thanks!
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Here is a basic code snippet:
from bokeh.charts import Bar, output_file, show, cat
xlist = [‘a’,‘b’,‘c’,‘d’]
ylist = [94,88,90,20]
data = {“x”: xlist, “y”: ylist}
bar = Bar(data, “x”, values=“y”)
output_file(“bar.html”)
show(bar)
Note that the Bar chart will sort the category labels, by default. If you want them to be in the exact order that you passed them in, then you need to make a small modification, to use the cat() function:
from bokeh.charts import Bar, output_file, show, cat
xlist = [‘d’,‘b’,‘c’,‘a’]
ylist = [94,88,90,20]
data = {“x”: xlist, “y”: ylist}
bar = Bar(data, label=cat(“x”, sort=False), values=“y”)
output_file(“bar.html”)
show(bar)
-Peter
On Sun, Jul 10, 2016 at 7:58 AM, kenan3015@gmail.com wrote:
Hi all, I want to plot a figure like above.
xlist = [94,88,90,20] and
ylist = [‘a’,‘b’,‘c’,‘d’,]
I read bokeh doc but not find proper API to plot a picture like above.Can somebody help? Thanks!
–
You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.
To unsubscribe from this group and stop receiving emails from it, send an email to bokeh+unsubscribe@continuum.io.
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To view this discussion on the web visit https://groups.google.com/a/continuum.io/d/msgid/bokeh/cec8381a-218a-42cf-bf0b-dfc35b49c486%40continuum.io.
For more options, visit https://groups.google.com/a/continuum.io/d/optout.
–
Peter Wang
CTO, Co-founder

from bokeh.plotting import figure
from bokeh.embed import components
import numpy as np
def make_plot():
label = ['A', 'B', 'C']
y = [10, 5, 18]
plot = figure(x_range=label,y_range=(0,max(y)),plot_width=500,plot_height=300,title="x vs y")
plot.xaxis.major_label_orientation = np.pi/4
plot.vbar(label, top=y, width=0.5, color="#CAB2D6")
script, div = components(plot)
return script, div
plots = []
plots.append(make_plot())
Hope it helps 

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