回答編集履歴
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test
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@@ -99,3 +99,47 @@
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![イメージ説明](df41e272a1b1a6bc3b72d3d4f38cda06.png)
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## 追記
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```python
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import matplotlib.pyplot as plt
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import numpy as np
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import math
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fig, ax = plt.subplots(figsize=(12, 6))
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params = [10 ** (-12), 10 ** (-11), 10 ** (-10), 10 ** (-9), 10 ** (-8)]
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for f in params:
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Mx = np.logspace(1, 10, 100, base=10)
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t = (16 * np.pi * Mx) / (f ** 2 * np.sqrt(1 - 64 / Mx ** 2))
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ax.scatter(Mx, t, label=f"f = {f}")
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ax.set_xscale("log")
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ax.set_yscale("log")
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ax.legend()
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plt.show()
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```
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2
d
test
CHANGED
@@ -47,3 +47,55 @@
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![イメージ説明](111d83b1492139fe98bcc572f71e92d6.png)
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> また、この後Mxの値を 10e4 10e6 10e8 10e10
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に変えた5つの散布図を作り同じグラフ上に表示させたいのですが、調べてもよくわからず合わせてご教授いただけませんでしょうか。
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```python
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import matplotlib.pyplot as plt
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import numpy as np
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import math
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fig, ax = plt.subplots(figsize=(12, 6))
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params = [10e2, 10e4, 10e6, 10e8, 10e10]
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for Mx in params:
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f = np.logspace(-20, -1, 100, base=10)
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t = (16 * math.pi * Mx) / (f ** 2 * math.sqrt(1 - 64 / Mx ** 2))
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ax.scatter(f, t, label=f"Mx = {Mx:.0e}")
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ax.set_xscale("log")
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ax.set_yscale("log")
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ax.set_xticks(np.logspace(-20, -1, 20, base=10))
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ax.legend()
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plt.show()
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```
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![イメージ説明](df41e272a1b1a6bc3b72d3d4f38cda06.png)
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1
d
test
CHANGED
@@ -20,9 +20,9 @@
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Mx = 10 ** 2
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f = np.a
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f = np.logspace(-20, -1, 100, base=10)
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t = (f ** 2 * math.sqrt(1 - 64 / Mx ** 2))
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t = (16 * math.pi * Mx)/(f ** 2 * math.sqrt(1 - 64 / Mx ** 2))
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