'Randomly select values from a list column so that all elements across lists are selected
Say, I had a pandas dataframe with a list column 'event_ids'
code canceled event_ids
xxx [1.0] [107385, 128281, 133015]
xxS [0.0] [108664, 110515, 113556]
ssD [1.0] [134798, 133499, 125396, 114298, 133915]
cvS [0.0] [107611]
eeS [5.0] [113472, 115236, 108586, 128043, 114106, 10796...
544W [44.0] [107650, 128014, 127763, 118036, 116247, 12802.
How to select k rows sufficiently randomly so that all elements across 'event_ids' are represented in the sample? By that I mean the event vocabulary in samples should be same as that of the population. By 'sufficiently' random I mean if some sort of importance sampling is possible so that initially the samples are random and added or rejected according to some condition.
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