import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
 
plt.rcParams['font.sans-serif'] = ['SimHei'] # 解决中文乱码问题
fig, ax = plt.subplots(figsize=(10, 5))

data = {"厂家":["阿里","百度","腾讯","网易","联想","B站","贝壳","小米","蔚来","58同城","滴滴出行"],"裁员人数":[19527,5000,3933,2000,5000,738,11542,3695,3000,3000,5000]}

df = pd.DataFrame(data)
 
x0 = df["厂家"]
x = np.arange(11) # 生成 0~10 十个数，为bar函数提供x轴坐标
y = df["裁员人数"]
 
ax.bar(x, y, color="k", edgecolor="k", width=0.3, tick_label=x0)
# 上、右边线不显示
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
 
# 只显示y轴网格线
ax.grid(axis="y", c="k", linestyle="-")
 
# 设置y轴的范围为 0~20000
ax.set_ylim(0, 20000)
 
# 图名称
ax.set_title("2023各厂裁员人数", fontsize=14)
 
# x轴刻度线不显示
ax.tick_params(axis="x", bottom=False)
plt.show()