Python可视化Matplotlib散点图scatter()用法详解

matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=None, edgecolors=None, *, data=None, **kwargs)

import matplotlib.pyplot as plt
import random

# 0.准备数据
x = range(60)
y_jiangsu = [random.uniform(15, 25) for i in x]
y_beijing = [random.uniform(5,18) for i in x]

# 1.创建画布
plt.figure(figsize=(20, 8), dpi=100)

# 2.绘制图像
plt.scatter(x,y_jiangsu, s=100, c='deeppink', marker='o', label = "江苏")
plt.scatter(x,y_beijing, s=100, c='darkblue', marker='+', label = "北京")

# 2.1 刻度显示
plt.xticks(x[::5], x_ticks_label[::5])
plt.yticks(y_ticks[::5])

# 2.2 添加网格显示
plt.grid(True, linestyle="--", alpha=0.5)

# 2.3 添加描述信息
plt.xlabel("时间", fontsize=15)
plt.ylabel("温度", fontsize=15)
plt.title("中午11点--12点某城市温度变化图", fontsize=20)

# 2.4 图像保存
plt.savefig("./test.png")

# 2.5 添加图例
plt.legend(loc="best")

# 3.图像显示
plt.show()