import matplotlib.pyplot as plt
import pandas as pd

df = pd.read_excel("data1.xlsx", "Sheet1")

fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.hist(df['年龄'], bins=7)
plt.title('Age distribution')
plt.xlabel('Age')
plt.ylabel('Employee')
plt.show()
		
		
		

		
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.font_manager import FontProperties

title = FontProperties(fname=r"/System/Library/Fonts/PingFang.ttc", size=14)
font = FontProperties(fname=r"/System/Library/Fonts/PingFang.ttc", size=10)

df = pd.read_excel("data.xlsx", "Sheet1")

fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.hist(df['年龄'], bins=7)
plt.title('年龄分布图', fontproperties=title)
plt.xlabel('年龄', fontproperties=font)
plt.ylabel('员工数量', fontproperties=font)
plt.show()		
		
		

		
from torchvision import datasets
from matplotlib import pyplot as plt

train_datasets = datasets.CIFAR10(root='data',train=False,download=True)
plt.figure(figsize=(2,2))
plt.imshow(train_datasets.data[0])