pandas – Grouped weighted Bar Chart

Consider the following DataFrame consisting of 10 rows. d = { ‘grp_id’:[1,2,1,1,1,3,1,1,4,1], ‘weight’:[1,2,1,1,1,3,1,1,4,4], ‘value’: [1,1,1,1,1,1,1,1,1,1] } df = pd.DataFrame(d) A weighted histogram (in this case a single element with the sum of the weights as a value) can be achieved with df[‘value’].hist(histtype=’bar’, weights=df[‘weight’]) An unweighted bar chart grouped by grp_id with df[‘value’].hist(by=df[‘grp_id’], histtype=’bar’) I’d like…

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Java array algorithm, error with swapping shuffle type from an “in-shuffle” to “out-shuffle”

I’m trying to duplicate the following while loop but differing in the way they both interleave my “cards”. Here’s my current while loop that works, my goal is to remake this loop but reverse the order of both card_force arrays: while (index >= 0) { card_force[index–] = bottom_half[j–]; card_force[index–] = top_half[i–]; } Here’s the while…

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