回答編集履歴
2
質問追加に対する回答追加
test
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`~matplotlib.ticker.LinearLocator`.
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Returns
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@@ -47,3 +47,109 @@
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events are only called for the artists in the top-most axes.
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```
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ラベルとか手抜きなので追加して下さい。
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仮データ作成
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```python
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import pandas as pd
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import io
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indata1 = '''日付け 終値
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2020-03-02 1015
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2020-03-03 1025
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2020-03-04 1050
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2020-03-05 999
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2020-03-06 1080'''
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with io.StringIO(indata1) as f:
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df1 = pd.read_csv(f, sep=' +', engine='python', parse_dates=[0])
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indata2 = '''日付け 終値
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2020-03-02 3056
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2020-03-03 3523
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2020-03-04 4024
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2020-03-05 5095
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2020-03-06 3800'''
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with io.StringIO(indata2) as f:
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df2 = pd.read_csv(f, sep=' +', engine='python', parse_dates=[0])
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```
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表示コード
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```python
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import pandas as pd
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import datetime
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import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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import numpy as np
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Date = df1["日付け"].values.astype(np.datetime64)
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EP1 = df1['終値'].values
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EP2 = df2['終値'].values
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fig = plt.figure(figsize=(30,10))
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ax = fig.add_subplot(111)
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ax.plot(Date, EP1,'C0')
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ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))
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ax2 = ax.twinx()
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ax2.plot(Date, EP2,'C1')
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ax2.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))
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plt.show()
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```
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実行結果
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1
コード追加
test
CHANGED
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@@ -3,3 +3,47 @@
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3
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5
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が同じx軸を使うグラフを作っています。
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```python
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>>> print(ax1.twinx.__doc__)
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Create a twin Axes sharing the xaxis.
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Create a new Axes with an invisible x-axis and an independent
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y-axis positioned opposite to the original one (i.e. at right). The
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x-axis autoscale setting will be inherited from the original
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Axes. To ensure that the tick marks of both y-axes align, see
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`~matplotlib.ticker.LinearLocator`.
|
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28
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29
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30
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+
|
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31
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+
Returns
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32
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+
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33
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-------
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ax_twin : Axes
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The newly created Axes instance
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Notes
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-----
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For those who are 'picking' artists while using twinx, pick
|
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46
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+
|
|
47
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+
events are only called for the artists in the top-most axes.
|
|
48
|
+
|
|
49
|
+
```
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