深度学习入门：基于Python的理论与实现¶

Chap1: Python入门¶

Matplotlib的使用¶

Sin函数曲线¶

In [1]:

import numpy as np
import matplotlib.pyplot as plt

import numpy as np import matplotlib.pyplot as plt

In [2]:

x = np.arange(0, 6, 0.1) # 以0.1为单位，生成0到6的数据
y = np.sin(x)

x = np.arange(0, 6, 0.1) # 以0.1为单位，生成0到6的数据 y = np.sin(x)

In [3]:

plt.plot(x, y)
plt.show()

plt.plot(x, y) plt.show()

Sin/Cos函数曲线¶

In [4]:

x = np.arange(0, 6, 0.1)
y1 = np.sin(x)
y2 = np.cos(x)

x = np.arange(0, 6, 0.1) y1 = np.sin(x) y2 = np.cos(x)

In [5]:

plt.plot(x, y1, label="sin")
plt.plot(x, y2, linestyle="--", label="cos") # 虚线
plt.xlabel("x") # x轴标签
plt.ylabel("y") # y轴标签
plt.title("sin & cos") # 标题
plt.legend()
plt.show()

plt.plot(x, y1, label="sin") plt.plot(x, y2, linestyle="--", label="cos") # 虚线 plt.xlabel("x") # x轴标签 plt.ylabel("y") # y轴标签 plt.title("sin & cos") # 标题 plt.legend() plt.show()

显示图片¶

In [6]:

from matplotlib.image import imread
from PIL import Image
from io import BytesIO
import requests

from matplotlib.image import imread from PIL import Image from io import BytesIO import requests

In [7]:

# imread("local_image_file")
url = "https://static.cyub.vip/images/202410/lena.png"
response = requests.get(url)
img = Image.open(BytesIO(response.content))
plt.imshow(img)
plt.show()

# imread("local_image_file") url = "https://static.cyub.vip/images/202410/lena.png" response = requests.get(url) img = Image.open(BytesIO(response.content)) plt.imshow(img) plt.show()