matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs)

import matplotlib.pyplot as plt
a = [1, 2, 3, 4, 5]
b = [6, 7, 8, 9, 10]
# 為了顯示出c和edgecolors 我將linewidths調增到15
plt.scatter(a, b, linewidths=15,c='red',edgecolors=['black', 'green','cyan','lightgreen'])

import matplotlib.pyplot as plt
%matplotlib inline

plt.figure(figsize=(12,6))
plt.rcParams['font.family'] = 'SimHei'

a = [1, 2, 3, 4, 5]
b = [6, 7, 8, 9, 10]
plt.subplot(121)
plt.title('不添加s')
plt.scatter(a,b,c='red',linewidths=6)
plt.subplot(122)
plt.title('添加s,s=1.5')
plt.scatter(a,b,c='red',s=1.5,linewidths=6)
plt.show()

import matplotlib.pyplot as plt

plt.figure(figsize=(12,6))
plt.rcParams['font.family'] = 'SimHei'

a = [1, 2, 3, 4, 5]
b = [6, 7, 8, 9, 10]
plt.subplot(131)
plt.title('標準')
plt.scatter(a,b,linewidths=6)

plt.subplot(132)
plt.title("設置marker 'x'")
plt.scatter(a,b,marker='x')

plt.subplot(133)
plt.title("設置marker 'v'")
plt.scatter(a,b,marker='v')
plt.show()

import matplotlib.pyplot as plt

plt.figure(figsize=(12,6))
plt.rcParams['font.family'] = 'SimHei'

a = [1, 2, 3, 4, 5]
b = [6, 7, 8, 9, 10]

plt.subplot(141)
plt.title("設置marker '1'")
plt.scatter(a,b,s=100,marker='1')

plt.subplot(142)
plt.title("設置marker '2'")
plt.scatter(a,b,s=100,marker='2')

plt.subplot(143)
plt.title("設置marker '3'")
plt.scatter(a,b,s=100,marker='3')

plt.subplot(144)
plt.title("設置marker '4'")
plt.scatter(a,b,s=100,marker='4')
plt.show()

import matplotlib.pyplot as plt

a = [1, 2, 3, 4, 5]
b = [6, 7, 8, 9, 10]
c = [0, 1, 2, 3, 4]
plt.rcParams['font.family'] = 'SimHei'

plt.subplot(121)
plt.title('標準')
plt.scatter(a, b, c=c, s=80)

plt.subplot(122)
plt.title('添加cmap')
plt.scatter(a, b, c=c, s=80, cmap=plt.cm.Spectral)
plt.show()

import matplotlib.pyplot as plt
# 導入顏色條庫
from matplotlib import colors
import numpy as np

x = np.random.randn(50) # 隨機產生50個X坐標
y = np.random.randn(50) # 隨機產生50個Y坐標
color = np.random.rand(50) # 隨機產生用于映射顏色的數值
size = 500 * np.random.rand(50) # 隨機改變散點大小的數值
changecolor = colors.Normalize(vmin=0.4, vmax=0.8)
plt.scatter(x, y, c=color, s = size, alpha=0.3, cmap='viridis', norm=changecolor)
plt.colorbar() # 顯示顏色條
plt.show()