Comments (2)
The color_function is must have the same number of entries as data points. So for you dataset with 150 observations, you would need it length 150, with each entry associated to each observation. The visualize method will then take the average of these values for you.
Try passing the results of usecolor
in:
mapper.visualize(simplicial_complex, path_html="...",
custom_meta={"Data:": "Me"},
custom_tooltips=Y,
color_function=usecolor)
from kepler-mapper.
Thanku so much...I got it
from kepler-mapper.
Related Issues (20)
- try different min_intersections from the visualization
- not able to understand this HOT 1
- Class methods are not being rendered by autosummary
- Examples, gallery not included in readthedocs build HOT 2
- idea: rewrite main readme and release file to .rst, import into docs HOT 5
- Bug: min_cluster_samples should not be set to a non-integer HOT 4
- plotlyviz expects 1d color values, but gets 2d instead HOT 1
- Outdated Documentation HOT 1
- `test_cubes_overlap` may be faulty HOT 2
- Idea - Convert networkx graph object or a graph in edge list format to a Mapper object HOT 8
- Doc toc restructure proposal (minor) HOT 4
- Shadowed test fails to run
- Min-Max confusion in projection statistic in cluster details
- making html files generated by visualize self-contained
- plotlyviz error
- Losing data
- Please refer to igraph instead of python-igraph HOT 2
- Directly producing color values for each node
- Overlapping bins in the HTML visualization.
- Issue with generating visuals in mapper HOT 2
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