回答編集履歴
1
pandasで回答
test
CHANGED
|
@@ -1,3 +1,73 @@
|
|
|
1
|
+
#追記
|
|
2
|
+
|
|
3
|
+
|
|
4
|
+
|
|
5
|
+
[pandasでユニークな要素の個数、頻度（出現回数）をカウント](https://note.nkmk.me/python-pandas-value-counts/)
|
|
6
|
+
|
|
7
|
+
|
|
8
|
+
|
|
9
|
+
pandas使った例で回答し直します。
|
|
10
|
+
|
|
11
|
+
|
|
12
|
+
|
|
13
|
+
```
|
|
14
|
+
|
|
15
|
+
import pandas as pd
|
|
16
|
+
|
|
17
|
+
|
|
18
|
+
|
|
19
|
+
filename_in = r'C:\workspace\tmp\人_日付.csv'
|
|
20
|
+
|
|
21
|
+
|
|
22
|
+
|
|
23
|
+
df = pd.read_csv(filename_in,encoding='utf-8',engine='python')
|
|
24
|
+
|
|
25
|
+
vc = df['人'].value_counts(sort=True)
|
|
26
|
+
|
|
27
|
+
print(df)
|
|
28
|
+
|
|
29
|
+
print(vc)
|
|
30
|
+
|
|
31
|
+
|
|
32
|
+
|
|
33
|
+
```
|
|
34
|
+
|
|
35
|
+
```
|
|
36
|
+
|
|
37
|
+
人 日付
|
|
38
|
+
|
|
39
|
+
0 A 2018.06.13
|
|
40
|
+
|
|
41
|
+
1 B 2018.07.02
|
|
42
|
+
|
|
43
|
+
2 B 2018.07.03
|
|
44
|
+
|
|
45
|
+
3 C 2018.06.25
|
|
46
|
+
|
|
47
|
+
4 B 2018.08.07
|
|
48
|
+
|
|
49
|
+
5 A 2018.08.01
|
|
50
|
+
|
|
51
|
+
6 A 2018.08.02
|
|
52
|
+
|
|
53
|
+
7 C 2018.09.10
|
|
54
|
+
|
|
55
|
+
A 3
|
|
56
|
+
|
|
57
|
+
B 3
|
|
58
|
+
|
|
59
|
+
C 2
|
|
60
|
+
|
|
61
|
+
Name: 人, dtype: int64
|
|
62
|
+
|
|
63
|
+
|
|
64
|
+
|
|
65
|
+
```
|
|
66
|
+
|
|
67
|
+
|
|
68
|
+
|
|
69
|
+
##以下初期回答
|
|
70
|
+
|
|
1
71
|
考え方だけですが・・・
|
|
2
72
|
|
|
3
73
|
|