python - Series dictionary with Cumulative result of other columns -
I have the following dataframe where I am trying to create a new column C such as this column on the auitive value of A And 'B' in the form of '0', then 'C' 2,3, 2,3,2], 'B': ['Hi', 'Hello', 'Highworld', 'HelloWald', '0', '0']}) For index, df in line Iterrows (): df ['c'] (append (dick (pin [[line '' a '], row [' b ']])))
Output bottom I am doing:
ABC 0 Hi {1: Hi} 1 2 Hello {1: Hello, 2: Hello} Hi 3 Hi World {1: Hello, 2: Hello, 3 : HiWorld} 3 2 HelloWorld {1: Hello, 2: HelloWald, 3: HighWorld} 4 3 0 {1: Hello, 2: HelloWald} 5 2 0 {1: hi} I have made possible attempts to solve the solution using Cumsum, concat & amp; series.Shift (1), but one block was now that I came from the use of Dutch and embedded; ZIP which seems a clean solution but does not work for me To Any suggestions.
Try it out:
d = dict () Df.itertuples () In _, a, b for column = list (): if b! = '0': d [a] = b Other: d.pop (a, none) column.append (d.copy ()) df ['c'] = column
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