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- import matplotlib.pyplot as plt
- import numpy as np
- import random
- from mpl_toolkits.mplot3d import Axes3D
- def f(x, y):
- return (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x **2 - y ** 2)
- n = 200
- x = np.linspace(-3, 3, n)
- y = np.linspace(-3, 3, n)
- xgrid, ygrid = np.meshgrid(x, y)
- z = f(xgrid, ygrid)
- # f = plt.figure()
- # axes3d = Axes3D(f)
- # axes3d.plot_surface(xgrid, ygrid, z)
- Axes3D(plt.figure()).plot_surface(xgrid, ygrid, z, cmap="hot", rstride=10, cstride=10)
- plt.show()
- help(Axes3D(plt.figure()).plot_trisurf)
- exit()
- plt.contourf(z, 12, cmap="hot")
- plt.contour(z, 12, colors="black")
- plt.show()
- exit()
- n = 20
- x = np.random.random_sample(n)
- print(x)
- plt.figure()
- random.seed(7)
- # colors = [(i / len(x), i % 2, 0) for i in range(len(x))]
- colors = [[random.random() for j in range(3)] for i in range(len(x))]
- # plt.pie(x, colors=colors)
- # plt.legend(colors)
- # plt.bar(x, x)
- plt.bar(range(n), x, width=1)
- plt.bar(range(n), -x, width=1, color=colors)
- plt.show()
- help(plt.bar)
- exit()
- x = np.linspace(0, 2)
- plt.figure()
- for i in range(4):
- # plt.axes([0.25 * i, 0.25 * i, 0.25, 0.25])
- plt.axes([(i % 2) * 0.5 + 0.1, (1 - i // 2) * 0.5 + 0.1, 0.3, 0.3])
- # plt.axes([(i % 2) * 0.5, (1 - i // 2) * 0.5, 0.5, 0.5])
- y = x ** i
- plt.plot(x, y)
- plt.plot([1, 1, 0], [0, 1, 1], "--r", linewidth=3)
- plt.title("$y = x^" + str(i) + "$")
- plt.xlabel("x")
- plt.ylabel("y", verticalalignment="bottom")
- plt.ylim(0, 8)
- plt.show()
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