Vertical to horizontal (Series to DataFrame with multiple columns)
pip install a-pandas-ex-vertical-to-horizontal
from a_pandas_ex_vertical_to_horizontal import pd_add_vertical_to_horizontal
pd_add_vertical_to_horizontal()
df = pd.concat(
[pd.Series(range(0, 20)), pd.Series(range(1000, 1020))], axis=0
).reset_index(drop=True)
df1 = df.s_vertical_to_horizontal(number_of_cells_to_join=3, drop_redundant=False, negative=False)
df2 = df.s_vertical_to_horizontal(number_of_cells_to_join=6, drop_redundant=True, negative=True)
print(df.to_string())
0 0
1 1
2 2
3 3
4 4
5 5
6 6
7 7
8 8
9 9
10 10
11 11
12 12
13 13
14 14
15 15
16 16
17 17
18 18
19 19
20 1000
21 1001
22 1002
23 1003
24 1004
25 1005
26 1006
27 1007
28 1008
29 1009
30 1010
31 1011
32 1012
33 1013
34 1014
35 1015
36 1016
37 1017
38 1018
39 1019
print(df1.to_string())
col_0 col_1 col_2
0 0 1019 1018
1 1 0 1019
2 2 1 0
3 3 2 1
4 4 3 2
5 5 4 3
6 6 5 4
7 7 6 5
8 8 7 6
9 9 8 7
10 10 9 8
11 11 10 9
12 12 11 10
13 13 12 11
14 14 13 12
15 15 14 13
16 16 15 14
17 17 16 15
18 18 17 16
19 19 18 17
20 1000 19 18
21 1001 1000 19
22 1002 1001 1000
23 1003 1002 1001
24 1004 1003 1002
25 1005 1004 1003
26 1006 1005 1004
27 1007 1006 1005
28 1008 1007 1006
29 1009 1008 1007
30 1010 1009 1008
31 1011 1010 1009
32 1012 1011 1010
33 1013 1012 1011
34 1014 1013 1012
35 1015 1014 1013
36 1016 1015 1014
37 1017 1016 1015
38 1018 1017 1016
39 1019 1018 1017
print(df2.to_string())
col_0 col_1 col_2 col_3 col_4 col_5
0 0 1 2 3 4 5
6 6 7 8 9 10 11
12 12 13 14 15 16 17
18 18 19 1000 1001 1002 1003
24 1004 1005 1006 1007 1008 1009
30 1010 1011 1012 1013 1014 1015
36 1016 1017 1018 1019 0 1
1 maintainer
Metadata
1 maintainer
Release files for a-pandas-ex-vertical-to-horizontal 0.10
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