You are looking for “spans”: Spans (line-type annotations) have a single dimension (width or height) and extend to the edge of the plot area. Please, take a look at http://docs.bokeh.org/en/latest/docs/user_guide/basic/annotations.html#spans So, the code will look like: import numpy as np import bokeh.plotting as bk from bokeh.models import Span p = bk.figure() # Vertical line vline … Read more
If you’ve already created the plot, then you can use the bokeh.plotting.curplot() function to return the “current” plot, and then set its height and width attributes. If you are building up a Plot object using the lower-level interfaces (e.g. the examples in bokeh/examples/glyph/, then you can just set those attributes directly as well on the … Read more
In order to rotate the labels e.g. by 90 degrees to the left, you can set major_label_orientation to π/2. This can be done either when creating the axis element (as a kwarg to the axis constructor if you are using low level plotting) or also after you have created a plot/figure, for instance by: p.xaxis.major_label_orientation … Read more
One way is to can things with a simple tuple when creating a figure: figure(…, x_range=(left, right), y_range=(bottom, top)) But you can also set the x_range and y_range properties of a created figure directly. (I had been looking for something like set_xlim or set_ylim from matplotlib.) from bokeh.models import Range1d fig = make_fig() left, right, … Read more
Yes, now it is possible to have two y axes in Bokeh plots. The code below shows script parts significant in setting up the second y axis to the usual figure plotting script. # Modules needed from Bokeh. from bokeh.io import output_file, show from bokeh.plotting import figure from bokeh.models import LinearAxis, Range1d # Seting the … Read more
As of bokeh 0.12.3, you can now do: p = figure(…, x_axis_type=”datetime”, …)