回答編集履歴
1
コメントに応じてサンプル修正
test
CHANGED
|
@@ -45,3 +45,57 @@
|
|
|
45
45
|
#4 3 15 23 NaN
|
|
46
46
|
|
|
47
47
|
```
|
|
48
|
+
|
|
49
|
+
|
|
50
|
+
|
|
51
|
+
---
|
|
52
|
+
|
|
53
|
+
**【修正分】**
|
|
54
|
+
|
|
55
|
+
|
|
56
|
+
|
|
57
|
+
```Python
|
|
58
|
+
|
|
59
|
+
import pandas as pd
|
|
60
|
+
|
|
61
|
+
import io
|
|
62
|
+
|
|
63
|
+
|
|
64
|
+
|
|
65
|
+
data = """A,US,JP
|
|
66
|
+
|
|
67
|
+
0,14,22
|
|
68
|
+
|
|
69
|
+
newyork,14,22
|
|
70
|
+
|
|
71
|
+
newyork,15,22
|
|
72
|
+
|
|
73
|
+
tokyo,15,23
|
|
74
|
+
|
|
75
|
+
london,15,23
|
|
76
|
+
|
|
77
|
+
"""
|
|
78
|
+
|
|
79
|
+
|
|
80
|
+
|
|
81
|
+
df = pd.read_csv(io.StringIO(data))
|
|
82
|
+
|
|
83
|
+
conv = {'newyork': 'US', 'tokyo': 'JP', 'London':'UK'}
|
|
84
|
+
|
|
85
|
+
df['X'] = df.apply(lambda r: r.get(conv.get(r.A)), axis=1)
|
|
86
|
+
|
|
87
|
+
print(df)
|
|
88
|
+
|
|
89
|
+
# A US JP X
|
|
90
|
+
|
|
91
|
+
#0 0 14 22 NaN
|
|
92
|
+
|
|
93
|
+
#1 newyork 14 22 14.0
|
|
94
|
+
|
|
95
|
+
#2 newyork 15 22 15.0
|
|
96
|
+
|
|
97
|
+
#3 tokyo 15 23 23.0
|
|
98
|
+
|
|
99
|
+
#4 london 15 23 NaN
|
|
100
|
+
|
|
101
|
+
```
|