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sympy.utilities.lambdify.lambdify() で式を関数化して、`xs = np.linspace(0, 10, 100)` の各点の
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sympy.utilities.lambdify.lambdify() で式を関数化して、`xs = np.linspace(0, 10, 100)` の各点の dx の数値解 ys を計算し、plot(xs, ys) で描画すればよいです。
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[Creating a function from a symbolic expression](https://www.sympy.org/scipy-2017-codegen-tutorial/notebooks/22-lambdify.html)
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import numpy as np
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import sympy as sp
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from matplotlib import pyplot as plt
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from sympy.utilities.lambdify import lambdify
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x = sp.symbols("x")
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f = x ** 2 + sp.sin(x) + sp.cos(x) ** 2
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dx = sp.diff(f, x)
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from sympy.utilities.lambdify import lambdify
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xs = np.linspace(0, 10, 100)
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ys = sp.lambdify(x,
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ys = sp.lambdify(x, dx, "numpy")(xs)
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fig, ax = plt.subplots()
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ax.plot(xs, ys)
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sympy.utilities.lambdify.lambdify() で式を関数化して、`xs = np.linspace(0, 10, 100)` の各点の dy の数値解 ys を計算し、plot(xs, ys) で描画すればよいです。
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[
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[Creating a function from a symbolic expression](https://www.sympy.org/scipy-2017-codegen-tutorial/notebooks/22-lambdify.html)
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```python
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import numpy as np
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