commit version 2.4

1 Scatter Plot/scatter.py

@@ -41,3 +41,4 @@
 plt.colorbar()
 plt.show()
 
+

1 Scatter Plot/scatter_color.py

@@ -0,0 +1,16 @@
+import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib import colors  # 注意！为了调整“色盘”，需要导入colors
+
+rng = np.random.RandomState(0)
+x = rng.randn(50)
+y = rng.randn(50)
+color = rng.rand(50)
+sizes = 700 * rng.rand(50)
+
+changecolor = colors.Normalize(vmin=0.4, vmax=0.8)
+
+plt.scatter(x, y, c=color, s=sizes, alpha=0.3, cmap='viridis',norm=changecolor)
+
+plt.colorbar()
+plt.show()

README.md

@@ -94,6 +94,27 @@ Tips：**我们希望每周坚持分享一个小知识来积累可视化技术
 ![](pics/Cmap/DM_20230604164801_006.png)
 ![](pics/Cmap/DM_20230604164801_007.png)
 
+### 带色盘演示
+`
+import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib import colors  # 注意！为了调整“色盘”，需要导入colors
+
+rng = np.random.RandomState(0)
+x = rng.randn(50)
+y = rng.randn(50)
+color = rng.rand(50)
+sizes = 700 * rng.rand(50)
+
+changecolor = colors.Normalize(vmin=0.4, vmax=0.8)
+
+plt.scatter(x, y, c=color, s=sizes, alpha=0.3, cmap='viridis',norm=changecolor)
+
+plt.colorbar()
+plt.show()
+`
+![](pics/Cmap/DM_20230604164801_008.png)
+
 ## Todo
 
 - [X] 完成散点图函数说明及案例分析