from matplotlib import pyplot as plt
help(plt.plot)

plt.plot(x, y, marker='+', color='coral')

matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=None, edgecolors=None, hold=None, data=None, **kwargs)
 
x,y組成了散點的坐標；s為散點的面積；c為散點的顏色（默認為藍色'b'）；marker為散點的標記；alpha為散點的透明度（0與1之間的數，0為完全透明，1為完全不透明）;linewidths為散點邊緣的線寬；如果marker為None，則使用verts的值構建散點標記；edgecolors為散點邊緣顏色。

import matplotlib 
import matplotlib.pyplot as plt
import numpy as np
# 保證圖片在瀏覽器內正常顯示
%matplotlib inline
 
# 10個點
N = 10
x = np.random.rand(N)
y = np.random.rand(N)
plt.scatter(x, y)
plt.show()

N = 10
x = np.random.rand(N)
y = np.random.rand(N)
area = np.random.rand(N) * 1000  # 包含10個均勻分布的隨機值的面積數組，大小[0, 1000]
fig = plt.figure()
ax = plt.subplot()
ax.scatter(x, y, s=area, alpha=0.5)  # 繪制散點圖，面積隨機
plt.show()

N = 10
x = np.random.rand(N)
y = np.random.rand(N)
x2 = np.random.rand(N)
y2 = np.random.rand(N)
area = np.random.rand(N) * 1000
fig = plt.figure()
ax = plt.subplot()
ax.scatter(x, y, s=area, alpha=0.5)
ax.scatter(x2, y2, s=area, c='green', alpha=0.6)  # 改變顏色
plt.show()

N = 10
x = np.random.rand(N)
y = np.random.rand(N)
x2 = np.random.rand(N)
y2 = np.random.rand(N)
x3 = np.random.rand(N)
y3 = np.random.rand(N)
area = np.random.rand(N) * 1000
fig = plt.figure()
ax = plt.subplot()
ax.scatter(x, y, s=area, alpha=0.5)
ax.scatter(x2, y2, s=area, c='green', alpha=0.6)
ax.scatter(x3, y3, s=area, c=area, marker='v', cmap='Reds', alpha=0.7)  # 更換標記樣式，另一種顏色的樣式
plt.show()