I've Pandas Dataframe as shown below. What I'm trying to do is, partition (or groupby) by BlockID, LineID, WordID
, and then within each group use current WordStartX - previous (WordStartX + WordWidth)
to derive another column, e.g., WordDistance to indicate the distance between this word and previous word.
This post Row operations within a group of a pandas dataframe is very helpful but in my case multiple columns involved (WordStartX and WordWidth).
*BlockID LineID WordID WordStartX WordWidth WordDistance
0 0 0 0 275 150 0
1 0 0 1 431 96 431-(275+150)=6
2 0 0 2 642 90 642-(431+96)=115
3 0 0 3 746 104 746-(642+90)=14
4 1 0 0 273 69 ...
5 1 0 1 352 151 ...
6 1 0 2 510 92
7 1 0 3 647 90
8 1 0 4 752 105**
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