回答編集履歴
1
コード追加
answer
CHANGED
|
@@ -20,4 +20,39 @@
|
|
|
20
20
|
blc.append(record)
|
|
21
21
|
df["balance"] = pd.DataFrame(blc)
|
|
22
22
|
df
|
|
23
|
+
```
|
|
24
|
+
|
|
25
|
+
user_id別ver.
|
|
26
|
+
|
|
27
|
+
```python3
|
|
28
|
+
import pandas as pd
|
|
29
|
+
import copy
|
|
30
|
+
dfa = pd.DataFrame({
|
|
31
|
+
'action_id':['1', '2', '3', '4', '5', '6', '7', '8'],
|
|
32
|
+
'user_id':['a', 'a', 'a', 'a', 'a', 'a', 'a', 'a'],
|
|
33
|
+
'date':['2020-06-05', '2020-06-06', '2020-06-08', '2020-06-10', '2020-06-11', '2020-06-12', '2020-06-15', '2020-06-20'],
|
|
34
|
+
'actoin_type':['get', 'purchase', 'purchase', 'purchase', 'get', 'purchase', 'get', 'purchase'],
|
|
35
|
+
'point_get':['500', '0', '0', '0', '300', '0', '200', '0'],
|
|
36
|
+
'point_use':['0', '300', '0', '500','0', '250', '0', '150']
|
|
37
|
+
})
|
|
38
|
+
dfb = pd.DataFrame({
|
|
39
|
+
'action_id':['1', '2', '3', '4', '5', '6', '7', '8'],
|
|
40
|
+
'user_id':['b', 'b', 'b', 'b', 'b', 'b', 'b', 'b'],
|
|
41
|
+
'date':['2020-06-05', '2020-06-06', '2020-06-08', '2020-06-10', '2020-06-11', '2020-06-12', '2020-06-15', '2020-06-20'],
|
|
42
|
+
'actoin_type':['get', 'purchase', 'purchase', 'purchase', 'get', 'purchase', 'get', 'purchase'],
|
|
43
|
+
'point_get':['300', '0', '100', '0', '300', '0', '200', '0'],
|
|
44
|
+
'point_use':['0', '300', '0', '500','0', '250', '0', '150']
|
|
45
|
+
})
|
|
46
|
+
df=pd.concat([dfa,dfb])
|
|
47
|
+
df = df.reset_index(drop=True)
|
|
48
|
+
blc = []
|
|
49
|
+
for user_id, group in df.groupby("user_id"):
|
|
50
|
+
record = 0
|
|
51
|
+
for gt,us in zip(group["point_get"],group["point_use"]):
|
|
52
|
+
record += int(gt) -int(us)
|
|
53
|
+
if record < 0:
|
|
54
|
+
record = 0
|
|
55
|
+
blc.append(record)
|
|
56
|
+
df["balance"] = pd.DataFrame(blc)
|
|
57
|
+
df
|
|
23
58
|
```
|