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Datashading a vertical or horizontal line created with Holoviews Curve generates empty plot
See original GitHub issueDescription
I plot a lot of curves and sometimes the data is naturally a horizontal line. When attempting to Datashade a vertical or horizontal line created with Holoviews Curve an empty plot is generated. This error further propagates to any layouts since the resulting empty plot has axes that don’t match with other successful plots.
Code: Imports
import holoviews as hv
import holoviews.operation.datashader as hd
import pandas as pd
hv.extension('matplotlib')
import logging
Holoviews curve and plot working as expected:
a_line = hv.Curve(([1, 2, 3], [1, 2, 3]))
a_line
hd.datashade(a_line)
Horizontal Line producing empty datashade plot:
h_line = hv.Curve(([1, 2, 3],[3, 3, 3]))
h_line
hd.datashade(h_line)
Vertical Line producing empty datashade plot:
v_line = hv.Curve(([3, 3, 3], [1, 2, 3]))
v_line
hd.datashade(v_line)
Errors and warnings
Running the same code but with matplotlib as holoviews extentions produces slightly more insightful errors.
hv.extension('matplotlib')
h_line = hv.Curve(([1, 2, 3],[3, 3, 3]))
h_line
hd.datashade(h_line)
ValueError [Call holoviews.ipython.show_traceback() for details]
zero-size array to reduction operation minimum which has no identity
Environment
Running Jupyter Notebook on macOS Catalina version 10.15.1
conda list
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Issue Analytics
- State:
- Created 4 years ago
- Comments:7 (7 by maintainers)
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Oops, totally missed that. The likely cause is that it’s zero range and therefore generates an empty aggregate.
I can reproduce the above problem with
holoviews.operation.datashader, but it seems to work fine in datashader itself:The Datashader code involved looks fine to me, in that it checks for the case where min==max and expands the bounds appropriately (datashader/glyphs/glyph.py):
But this code isn’t being triggered, because the HoloViews datashader operation takes care of all the ranging itself. So this needs to be fixed on HoloViews, not Datashader.