Python可视化分析—matplotlib

1.绘制直线图：

import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0, 4)
print(x)

plt.plot(x, x * (-0.5), color="blue", linestyle="-",  label="y = x * (-0.5)", linewidth=2, marker="o")
plt.plot(x, x * 1.5, color="green",   linestyle="--", label="y = x * 1.5", linewidth=2, marker="*")  # g--表示绿色虚线
plt.plot(x, x * 3.0, color="orange",  linestyle=":",  label="y = x * 3.0", linewidth=2, marker="+")
plt.plot(x, x * 3.5, color="magenta", linestyle="-.", label="y = x * 3.5", linewidth=2, marker="D")

plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False    # 用来正常显示负号

plt.xlabel("输出值")
plt.ylabel("输入值")
plt.title(u"直线图")

plt.legend()
plt.show()

结果为：

2.绘制心形

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(-8, 8, 1024)  # 输出的范围为（-8, 8）

y1 = 0.618 * np.abs(x) - 0.8 * np.sqrt(64 - x ** 2)  # 左部分
y2 = 0.618 * np.abs(x) + 0.8 * np.sqrt(64 - x ** 2)