Return left.assign(key=1).merge(right.assign(key=1), on='key', how='outer').drop('key', 1)ĭf = cross_join(df, to_frame(data, prev_key + '.' + key))ĭf = ncat(, prev_key)])ĭf = pandas.DataFrame(, This is an older question, but I struggled the entire night to get a satisfactory result for a similar situation, and I came up with this: import json Please scroll down for the newer, faster solution
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