import matplotlib.pyplot as plt
import numpy as np
height = [161,170, 182, 175, 173, 165]
weight = [50, 58, 80, 70, 69, 65]
plt.scatter(height, weight)
plt.show()
#散点图 随机的,无相关性
N = 1000
x=np.random.randn(N)
y=np.random.randn(N)
plt.scatter(x, y)
plt.show()
#散点图 正相关性
N = 100
x=np.random.randn(N)
y=np.random.randn(N)*0.5 - x
plt.scatter(x, y, s=30, c='r', marker='*', alpha=1) #s代表面积,c代表color, marker代表点的形状, alpha代表透明度
plt.show()
%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
n = 1024
X = np.random.normal(0, 1, n)
Y = np.random.normal(0, 1, n)
T = np.arctan2(Y, X)
plt.scatter(X, Y, s=75, c=T, alpha=.5)
plt.xlim(-1.5, 1.5)
plt.xticks(())
plt.ylim(-1.5, 1.5)
plt.yticks(())