回答編集履歴
2
質問追加に対する回答追加
answer
CHANGED
@@ -12,7 +12,7 @@
|
|
12
12
|
x-axis autoscale setting will be inherited from the original
|
13
13
|
Axes. To ensure that the tick marks of both y-axes align, see
|
14
14
|
`~matplotlib.ticker.LinearLocator`.
|
15
|
-
|
15
|
+

|
16
16
|
Returns
|
17
17
|
-------
|
18
18
|
ax_twin : Axes
|
@@ -22,4 +22,57 @@
|
|
22
22
|
-----
|
23
23
|
For those who are 'picking' artists while using twinx, pick
|
24
24
|
events are only called for the artists in the top-most axes.
|
25
|
-
```
|
25
|
+
```
|
26
|
+
|
27
|
+
ラベルとか手抜きなので追加して下さい。
|
28
|
+
|
29
|
+
仮データ作成
|
30
|
+
```python
|
31
|
+
import pandas as pd
|
32
|
+
import io
|
33
|
+
|
34
|
+
indata1 = '''日付け 終値
|
35
|
+
2020-03-02 1015
|
36
|
+
2020-03-03 1025
|
37
|
+
2020-03-04 1050
|
38
|
+
2020-03-05 999
|
39
|
+
2020-03-06 1080'''
|
40
|
+
|
41
|
+
with io.StringIO(indata1) as f:
|
42
|
+
df1 = pd.read_csv(f, sep=' +', engine='python', parse_dates=[0])
|
43
|
+
|
44
|
+
indata2 = '''日付け 終値
|
45
|
+
2020-03-02 3056
|
46
|
+
2020-03-03 3523
|
47
|
+
2020-03-04 4024
|
48
|
+
2020-03-05 5095
|
49
|
+
2020-03-06 3800'''
|
50
|
+
|
51
|
+
with io.StringIO(indata2) as f:
|
52
|
+
df2 = pd.read_csv(f, sep=' +', engine='python', parse_dates=[0])
|
53
|
+
```
|
54
|
+
|
55
|
+
表示コード
|
56
|
+
```python
|
57
|
+
import pandas as pd
|
58
|
+
import datetime
|
59
|
+
import matplotlib.pyplot as plt
|
60
|
+
import matplotlib.dates as mdates
|
61
|
+
import numpy as np
|
62
|
+
|
63
|
+
Date = df1["日付け"].values.astype(np.datetime64)
|
64
|
+
EP1 = df1['終値'].values
|
65
|
+
EP2 = df2['終値'].values
|
66
|
+
|
67
|
+
fig = plt.figure(figsize=(30,10))
|
68
|
+
ax = fig.add_subplot(111)
|
69
|
+
ax.plot(Date, EP1,'C0')
|
70
|
+
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))
|
71
|
+
ax2 = ax.twinx()
|
72
|
+
ax2.plot(Date, EP2,'C1')
|
73
|
+
ax2.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))
|
74
|
+
plt.show()
|
75
|
+
```
|
76
|
+
実行結果
|
77
|
+
|
78
|
+

|
1
コード追加
answer
CHANGED
@@ -1,3 +1,25 @@
|
|
1
1
|
ax2 = ax1.twinx()
|
2
2
|
|
3
|
-
が同じx軸を使うグラフを作っています。
|
3
|
+
が同じx軸を使うグラフを作っています。
|
4
|
+
|
5
|
+
```python
|
6
|
+
>>> print(ax1.twinx.__doc__)
|
7
|
+
|
8
|
+
Create a twin Axes sharing the xaxis.
|
9
|
+
|
10
|
+
Create a new Axes with an invisible x-axis and an independent
|
11
|
+
y-axis positioned opposite to the original one (i.e. at right). The
|
12
|
+
x-axis autoscale setting will be inherited from the original
|
13
|
+
Axes. To ensure that the tick marks of both y-axes align, see
|
14
|
+
`~matplotlib.ticker.LinearLocator`.
|
15
|
+
|
16
|
+
Returns
|
17
|
+
-------
|
18
|
+
ax_twin : Axes
|
19
|
+
The newly created Axes instance
|
20
|
+
|
21
|
+
Notes
|
22
|
+
-----
|
23
|
+
For those who are 'picking' artists while using twinx, pick
|
24
|
+
events are only called for the artists in the top-most axes.
|
25
|
+
```
|