Comments (2)
Assuming you are working in a jupyter notebook, currently the best way to do that might be to take the two points you want to compare, put them each in their own pandas dataframe (each containing only a single point) and show them both in a single facets-overview visualization, like the overview demo jupyter notebook does for the UCI test and train datasets.
This isn't ideal, but might allow you to compare them feature by feature in a reasonable way.
In the future, I could imagine us making this easier to do in the dive visualization by selecting two points and directly comparing them.
from facets.
Thank you for answer. I was thinking about it, but it would be quite inconvenient, assuming that I would like to take a look into many pairs. Having this features integrated with mouse button would be much easier and I believe that would be also useful for other users.
from facets.
Related Issues (20)
- Binning | X-Axis selection is not rendering correctly as a dropdown HOT 8
- HTML Imports is deprecated error still here! HOT 5
- Cannot copy text from side panel HOT 2
- Is it possible to increase the max size of the atlas?
- How to load a non local image atlas?
- Questions about Facets structure and dependencies HOT 2
- Facets buttons still too big HOT 1
- Facets as a Data Studio community report HOT 3
- ProtoFromDataFrames fails for dataframes with categorical columns HOT 6
- Can not show column name in jupyter notebook. HOT 3
- How to save the tool outside the jupyter notebook so that the images appear on the display? HOT 4
- Custom stats cut-off with long names
- Why the facets button size is too big to see (again) HOT 2
- Support numpy >= 1.23 HOT 3
- facets dive demo no longer builds HOT 2
- Facet broken under np 1.23
- How to get started with Facets for a simple one-page website? HOT 6
- facets dive is not working in colab HOT 2
- Generate proto files to support protobuf 4.x.x and protoc 3.19.0 HOT 6
- facets_overview is failing with numpy-1.23.5 HOT 1
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from facets.