Is there a way to rotate a plot 90° within Holoviews?
I'm interested in knowing how to do that generally, but my immediate purpose is to generate a histogram that is rotated to put the frequency on the horizontal and key value on the vertical to layout next to a scatter.
This can be done quite nicely with the .hist() command, unfortunately the object that's generated (AdjointLayout
) can't be nested in a HoloMap
or GridSpace
, so I'm left to my own devices.
import numpy as np
import holoviews as hv
hv.extension('bokeh')
data1=np.random.randn(1000)
data2=np.random.rand(1000)
dataDict1={1:hv.Scatter(data1)+hv.Histogram(np.histogram(data1),kdims=['y']),
2:hv.Scatter(data2)+hv.Histogram(np.histogram(data2),kdims=['y'])}
dataDict2={1:hv.Scatter(data1).hist(), 2:hv.Scatter(data2).hist()}
hv.HoloMap(dataDict1).collate() #yay!
hv.HoloMap(dataDict2).collate() #TypeError: HoloMap does not accept AdjointLayout type, data elements have to be a ('ViewableElement', 'NdMapping', 'Layout').
I suspect it's one of the %%opts
or .opts()
plot options in square brackets, but I can't find the available options documented (the links are either broken, or point to the top of the API guide and I haven't found the right section of the API.)
%%opts Histogram [invert_axes=True]
invert_xaxis
reverses an axes, but invert_axes
swaps the x and y axes.
The available options are much better documented through the hv.help()
mechanism. ie. hv.help(hv.Histogram)
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