爬虫数据图

爬虫四张数据图加源码

散点图
import numpy as np
import matplotlib.pyplot as plt

height=[161,170,182,175,173,165]
weight=[50,58,80,70,69,55]

plt.scatter(height,weight)
# 显示数据图
plt.show()

折线图

import numpy as np
import matplotlib.pyplot as plt
# 生成一组等区间数值
x=np.linspace(-10,10,100)
y=x**2
plt.plot(x,y)
plt.show()

条型图

import numpy as np
import matplotlib.pyplot as plt

N=5
y=[20,10,30,25,15]
index = np.arange(N)

p1 = plt.bar(x=index, height=y,width=0.5,bottom=100,color='red')

plt.show()

直方图

import numpy as np
import matplotlib.pyplot as plt

mu = 100 # mean of distribution
sigma = 20 # standard deviation of distribution
x = mu + sigma * np.random.randn(2000)

plt.hist(x, bins=10,color='red',normed=True)
plt.show()

扇形图

import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec

labels = 'A', 'B', 'C', 'D'
fracs = [15, 30, 45, 10]
# 表示某一块的分离程度
explode = (0, 0.05, 0, 0)
# 使饼状图为正圆形
plt.axes(aspect=1)

plt.pie(fracs, explode=explode, labels=labels, autopct='%.0f%%', shadow=True)

plt.show()

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