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bluenote10 avatar bluenote10 commented on May 12, 2024

I'm not quite sure what you mean by "aligned/joined" in this context? Do you perhaps have a small example?

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ynfle avatar ynfle commented on May 12, 2024

I am following this to try and make a Naive Bayes Classifier in nim using NimData and in the method calc_prior they group the data by the target class which isn't possible without a join if the data and the target are separated.

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ynfle avatar ynfle commented on May 12, 2024

Here is a link to Pandas groupBy

EDIT: Forgot the link https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.groupby.html

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bluenote10 avatar bluenote10 commented on May 12, 2024

Sorry for the delay! So many things to do...

In general NimData already has a rudimentary (and not well documented) implementation of groupBy:

NimData/src/nimdata.nim

Lines 245 to 254 in ed07c2f

proc groupBy*[T, K, U](df: DataFrame[T], keyFunc: proc(x: T): K, reduceFunc: proc(key: K, df: DataFrame[T]): U): DataFrame[U] =
## Groups a data frame according to ``keyFunc`` and applies
## ``reduceFunc`` to each group.
result = GroupByReduceDataFrame[T, K, U](
keyFunc: keyFunc,
reduceFunc: reduceFunc,
orig: df,
computed: false,
data: initTable[K, seq[T]]()
)

which isn't possible without a join if the data and the target are separated

Yes you'd probably have to combine the target column with the data columns first to make it work.

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