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One of the ways I've been using siftr lately is by incrementally building a query until I see all the columns I want. Once I have those, I want to be able to copy the column names or indices to my clipboard so that I can paste them into my script. I think it would be useful to have a workflow like:
sift(df, my, final, query)
# results...
pile_names(.Last.value) # Should return .Last.value and copy colnames to clipboard as a side-effect# Since .Last.value is returned, I can still grab the column numbers if I change my mind:
pile_nums(.Last.value) # Should return .Last.value and copy column numbers to clipboard as a side-effect
The assumption of this workflow is that I keep submitting sift queries, and then if I like the results, I immediately copy them to the clipboard using .Last.value. I might have to append a class to the dictionary dataframe so that I can check if .Last.value is a sift() result.
The text was updated successfully, but these errors were encountered:
One of the ways I've been using siftr lately is by incrementally building a query until I see all the columns I want. Once I have those, I want to be able to copy the column names or indices to my clipboard so that I can paste them into my script. I think it would be useful to have a workflow like:
The assumption of this workflow is that I keep submitting sift queries, and then if I like the results, I immediately copy them to the clipboard using
.Last.value
. I might have to append a class to the dictionary dataframe so that I can check if.Last.value
is asift()
result.The text was updated successfully, but these errors were encountered: