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Hi, Correct me if mistaken, but I am assuming you mean log scale in the untransformed space for transformed events. Or, more simply, why don't the x & y axis scales look like FlowJo? The reason for this has to do with FlowJo being a GUI where the user can point and click versus a toolkit with a Python API. Gate boundaries, like polygon vertices, must be given in the transformed space. Because of this, the decision was made to display the scales exactly as the transform dictates and not obfuscate the positions where the boundaries should be defined. For a GUI like FlowJo, the user doesn't need to know how this works, they click their polygon vertices by looking at the plot. For FlowKit, imagine trying to define a polygon gate from looking at a plot of untransformed log scaled axes. You would have to mentally transform every coordinate to define your gate. A similar logic applies to getting transformed event data via FlowKit. It would be somewhat confusing to retrieve those NumPy arrays and see the actual transformed values that do not correspond to the plots that FlowKit creates. Hope this clarifies things and let me know if I'm misreading your question, |
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Hey everyone,
I'm pretty new to
FlowKit
. TriedFlowCytometryTools
before, but this seems a bit outdated. So far I really like it. There is just on thing that I did not find in the tutorials and also not online anywhere. How can I get logarithmic scales on the x and y axis? The same question was asked here but without any answers.Thanks everyone
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