划分子图

import matplotlib.pyplot as plt

plt.rcParams["font.family"] = "SimHei"

fig = plt.figure(facecolor="lightgrey")  # 背景颜色

plt.subplot(2, 2, 1)
plt.title("子标题1")
plt.subplot(2, 2, 2)
plt.title("子标题2", loc="left", color="b")
plt.subplot(2, 2, 3)
myfontdict = {"fontsize": 12, "color": "g", "rotation": 60}
plt.title("子标题3", fontdict=myfontdict)
plt.subplot(2, 2, 4)
plt.title("子标题4", color="white", backgroundcolor="black")

plt.suptitle("全局标题", fontsize=20, color="red", backgroundcolor="yellow")

plt.tight_layout(rect=[0, 0, 1, 0.9])
plt.show()

散点图

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = 'SimHei'  # 设置中文黑体为默认字体
plt.rcParams['axes.unicode_minus'] = False  # 正常显示负号

n = 1024
x = np.random.normal(0, 1, n)  # normal生成正态分步的点
y = np.random.normal(0, 1, n)

x2 = np.random.uniform(-4, 4, (1, n))  # uniform生成均匀分布的点
y2 = np.random.uniform(-4, 4, (1, n))

plt.scatter(x, y, color="blue", marker="o", label="正态分布")
plt.scatter(x2, y2, color="yellow", marker='*', label="均匀分布")
plt.legend()  # 绘制图例

plt.title("标准正态分布", fontsize=20)    # 标题
# plt.text(2.5, 2.5, "均值：0\n标准差：1")   # 显示文本


plt.xlim(-4, 4)  # x轴范围
plt.ylim(-4, 4)  # y轴范围

plt.xlabel('横坐标x', fontsize=14)
plt.xlabel('纵坐标y', fontsize=14)
plt.show()

折线图

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = 'SimHei'  # 设置中文黑体为默认字体

n = 24
y1 = np.random.randint(27, 37, n)  # normal生成正态分步的点
y2 = np.random.randint(40, 60, n)

plt.plot(y1, label="温度")
plt.plot(y2, label="湿度")

plt.xlim(0, 23)  # x轴范围
plt.ylim(20, 70)  # y轴范围
plt.xlabel("小时", fontsize=12)
plt.ylabel("测量值", fontsize=12)

plt.legend()  # 绘制图例
plt.title("24小时温度湿度统计", fontsize=20)    # 标题

plt.show()

柱状图

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = 'SimHei'  # 设置中文黑体为默认字体
plt.rcParams['axes.unicode_minus'] = False

n = 12
y1 = np.random.randint(10, 35, n)  # normal生成正态分步的点
y2 = np.random.randint(-35, -10, n)

plt.bar(range(len(y1)), y1, width=0.8, facecolor="green", edgecolor="white", label="统计量1")
plt.bar(range(len(y1)), y2, width=0.8, facecolor="red", edgecolor="white", label="统计量2")

plt.title("柱状图 ", fontsize=20)    # 标题

plt.legend()  # 绘制图例
plt.show()