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Bubble plot

Tag: plot, visualization
2017-02-07

bubble plot可以结合展示三个变量之间的关系，本文主要是演练了这里这里的代码：

# create data
x = np.random.rand(5)
y = np.random.rand(5)
z = np.random.rand(5)

控制bubble的颜色、透明度：

# Change color with c and alpha
plt.scatter(x, y, s=z*4000, c="red", alpha=0.4)

控制bubble的形状：

plt.scatter(x, y, s=z*4000, marker="D")

控制bubble的大小:

plt.scatter(x, y, s=z*200)

控制bubble的边缘（线条粗细等）：

plt.scatter(x, y, s=z*4000, c="green", alpha=0.4, linewidth=6)

先导入seaborn，则采用seaborn的主题：

import seaborn as sns
plt.scatter(x, y, s=z*4000, c="green", alpha=0.4, linewidth=6)

同时给气泡上颜色和大小，相当于展示了4个变量：

# create data
x = np.random.rand(15)
y = x+np.random.rand(15)
z = x+np.random.rand(15)
z=z*z
 
# Change color with c and alpha. I map the color to the X axis value.
plt.scatter(x, y, s=z*2000, c=x, cmap="Blues", alpha=0.4, edgecolors="grey", linewidth=2)

### plot color bar
### https://stackoverflow.com/questions/6063876/matplotlib-colorbar-for-scatter
sc = plt.scatter(x, y, s=z*2000, c=x, cmap="Blues", alpha=0.4, edgecolors="grey", linewidth=2)
plt.colorbar(sc)


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