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What I am trying to do is select the 1st element of each cell regardless of the number of columns or rows (they may change based on user defined criteria) and make a new pandas dataframe from the data. My actual data structure is similar to what I have listed below.
0 1 2
0 [1, 2] [2, 3] [3, 6]
1 [4, 2] [1, 4] [4, 6]
2 [1, 2] [2, 3] [3, 6]
3 [4, 2] [1, 4] [4, 6]
I want the new dataframe to look like:
0 1 2
0 1 2 3
1 4 1 4
2 1 2 3
3 4 1 4
The code below generates a data set similar to mine and attempts to do what I want to do in my code without success (d), and mimics what I have seen in a similar question with success(c ; however, only one column). The link to the similar, but different question is here :Python Pandas: selecting element in array column
import pandas as pd
zz = pd.DataFrame([[[1
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