I have a portion of my dataframe here:
days = [1, 2, 3, 4, 5]
time = [2, 4, 2, 4, 2, 4, 2, 4, 2]
df1 = pd.DataFrame(days)
df2 = pd.Series(time)
df2 = df2.transpose()
df3 = df1*df2
df4 = df1.dot(df2.to_frame().T)
df4 =
0 1 2 3 4 5 6 7 8
0 2 4 2 4 2 4 2 4 2
1 4 8 4 8 4 8 4 8 4
2 6 12 6 12 6 12 6 12 6
3 8 16 8 16 8 16 8 16 8
4 10 20 10 20 10 20 10 20 10
I have an if loop that creates a single row dataframe which looks like:
df_new =
0 1 2 3 4 5 6 7 8
0 2 4 2 4 2 4 2 4 2
I need to be able to loop through and add this row to the end of the larger dataframe a handful of times so the end result looks like this:
df_final =
0 1 2 3 4 5 6 7 8
0 2 4 2 4 2 4 2 4 2
1 4 8 4 8 4 8 4 8 4
2 6 12 6 12 6 12 6 12 6
3 8 16 8 16 8 16 8 16 8
4 10 20 10 20 10 20 10 20 10
5 2 4 2 4 2 4 2 4 2
6 5 6 7 8 9 8 7 6 5
I have tried to either append or concact the new dataframe to the existing one, but I receive errors both ways. Either indexing errors or a few looping issues. I think I need either a better understanding of why the row cannot be added to the end of the dataframe or an idea of a work around. The loop has 25 iterations where I only added two, but the idea is the same, I will get a new row in the form of a single row dataframe and I need to add that data from the single row dataframe without the column headers to the final dataframe. I am willing to update my question as soon as I get a better idea of how this can work, it does not seem like a difficult task, but I am sure I am asking the wrong thing.