用Python学分析 - 散点图

 1 import numpy as np
 2 import matplotlib.pyplot as plt
 3 
 4 # 设计 x, y 轴
 5 n = 10000
 6 x = np.random.randn( n ) # 随机值
 7 y = np.random.randn( n )
 8 
 9 # 显示散点图
10 colors = [‘b‘,‘r‘,‘g‘,‘y‘,‘k‘,‘m‘]
11 plt.scatter(x, y, c = colors, marker = ‘p‘, alpha=0.5 )
12 plt.title(‘Distribution‘)
13 plt.show()
14 
15 # scatter( x, y, s = None, c = None, maker = None,
16 #          camp = None, norm = None, vmin = None, vmax = None, 
17 #          alpha = None, linewidth = None, vert = None, edgecolors = None,
18 #          hold = None, data = None, **kwargs
19 #        )
20 # x,y   - 形如shape(n,)的数组，可选值
21 # s - 点的大小（也就是面积）默认20
22 # c [color] - 点的颜色或颜色序列，默认蓝色。其它如c = ‘r‘ (red); c = ‘g‘ (green); c = ‘k‘ (black) ; c = ‘y‘(yellow)
23 # marker 形状，可选值，默认是圆 [. , _ o v ^ < > 1 2 3 4 8 s p P * h H + x X D]
24 
25 # alpha - 透明度，标量，可选，默认值：无， 0（透明）和1（不透明）之间的alpha混合值
26 # edgecolors - 边缘颜色或颜色序列，可选值，默认值：None