[英]How to bring data frame into single column from multiple columns in python
I have data format in these multiple columns.我在这些多列中有数据格式。 So I want to bring all 4 columns of data into a single column.
所以我想将所有 4 列数据合并到一个列中。
YEAR Month pcp1 pcp2 pcp3 pcp4
1984 1 0 0 0 0
1984 2 1.2 0 0 0
1984 3 0 0 0 0
1984 4 0 0 0 0
1984 5 0 0 0 0
1984 6 0 0 0 1.6
1984 7 3 3 9.2 3.2
1984 8 6.2 27.1 5.4 0
1984 9 0 0 0 0
1984 10 0 0 0 0
1984 11 0 0 0 0
1984 12 0 0 0 0
pd.wide_to_long
pd.wide_to_long(df, i=['YEAR', 'Month'], j='day', stubnames='pcp', suffix='\d+', sep='').reset_index()
YEAR Month day pcp
0 1984 1 1 0.0
1 1984 1 2 0.0
2 1984 1 3 0.0
3 1984 1 4 0.0
4 1984 2 1 1.2
5 1984 2 2 0.0
6 1984 2 3 0.0
7 1984 2 4 0.0
8 1984 3 1 0.0
9 1984 3 2 0.0
10 1984 3 3 0.0
11 1984 3 4 0.0
12 1984 4 1 0.0
13 1984 4 2 0.0
14 1984 4 3 0.0
15 1984 4 4 0.0
16 1984 5 1 0.0
17 1984 5 2 0.0
18 1984 5 3 0.0
19 1984 5 4 0.0
20 1984 6 1 0.0
21 1984 6 2 0.0
22 1984 6 3 0.0
23 1984 6 4 1.6
24 1984 7 1 3.0
25 1984 7 2 3.0
26 1984 7 3 9.2
27 1984 7 4 3.2
28 1984 8 1 6.2
29 1984 8 2 27.1
30 1984 8 3 5.4
31 1984 8 4 0.0
32 1984 9 1 0.0
33 1984 9 2 0.0
34 1984 9 3 0.0
35 1984 9 4 0.0
36 1984 10 1 0.0
37 1984 10 2 0.0
38 1984 10 3 0.0
39 1984 10 4 0.0
40 1984 11 1 0.0
41 1984 11 2 0.0
42 1984 11 3 0.0
43 1984 11 4 0.0
44 1984 12 1 0.0
45 1984 12 2 0.0
46 1984 12 3 0.0
47 1984 12 4 0.0
df.melt(id_vars=["YEAR", "Month"], var_name='Date', value_name="pcp").sort_values(['Month','Date']).reset_index(drop=True)
YEAR Month Date pcp
0 1984 1 pcp1 0.0
1 1984 1 pcp2 0.0
2 1984 1 pcp3 0.0
3 1984 1 pcp4 0.0
4 1984 2 pcp1 1.2
5 1984 2 pcp2 0.0
6 1984 2 pcp3 0.0
7 1984 2 pcp4 0.0
8 1984 3 pcp1 0.0
9 1984 3 pcp2 0.0
10 1984 3 pcp3 0.0
11 1984 3 pcp4 0.0
12 1984 4 pcp1 0.0
13 1984 4 pcp2 0.0
14 1984 4 pcp3 0.0
15 1984 4 pcp4 0.0
16 1984 5 pcp1 0.0
17 1984 5 pcp2 0.0
18 1984 5 pcp3 0.0
19 1984 5 pcp4 0.0
20 1984 6 pcp1 0.0
21 1984 6 pcp2 0.0
22 1984 6 pcp3 0.0
23 1984 6 pcp4 1.6
24 1984 7 pcp1 3.0
25 1984 7 pcp2 3.0
26 1984 7 pcp3 9.2
27 1984 7 pcp4 3.2
28 1984 8 pcp1 6.2
29 1984 8 pcp2 27.1
30 1984 8 pcp3 5.4
31 1984 8 pcp4 0.0
32 1984 9 pcp1 0.0
33 1984 9 pcp2 0.0
34 1984 9 pcp3 0.0
35 1984 9 pcp4 0.0
36 1984 10 pcp1 0.0
37 1984 10 pcp2 0.0
38 1984 10 pcp3 0.0
39 1984 10 pcp4 0.0
40 1984 11 pcp1 0.0
41 1984 11 pcp2 0.0
42 1984 11 pcp3 0.0
43 1984 11 pcp4 0.0
44 1984 12 pcp1 0.0
45 1984 12 pcp2 0.0
46 1984 12 pcp3 0.0
47 1984 12 pcp4 0.0
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