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Sampling GroupedDataFrames (rand) #3437
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We could add it. @nalimilan, what do you think about adding:
? |
Duplicate of #2097. It would make sense to define For |
Ah - good catch. So - now I responded positively as
And the key word is If we also added I am not sure this is useful, but this could work. This is different from The question is if users would find it intuitive and useful? |
Thanks for all the answers! Sorry about the missed duplicate issue.
AFAIK the only interface that As for usefulness, in my case, I was looking to sample groups of data (hence the groupby), and it did feel jarring that I couldn't just sample the N = 100
tdf = transform(df, [:x1, :x2] => ByRow(string))
keys = unique(tdf[!, :x1_x2_string])
subset(tdf, :x1_x2_string => ByRow(in(rand(keys, N)))) # DataFrame, have to drop :x1_x2_string VS N = 100
gdf = groupby(df, [:x1, :x2])
rand(gdf, N) # Array of GroupedDataFrame? GroupedDataFrame? I don't think it's intuitive for P.S.: I did not go into the implementation of |
This is the same reason why Adding |
Hello,
Currently, we cannot sample from a GroupedDataFrame directly.
Stacktrace
One way to circumvent that MethodError is to sample from the idx
Code: #3102
What would be needed to implement this interface? Or, is it undesirable to do so?
versioninfo and package version
EDIT: reproducible on v1.7.0 (main)
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