keyword_analytic_web/archived/test/treemap5.py

# import matplotlib.pyplot as plt
# import squarify
# sizes = [40, 50, 30, 2]
# label = ["a", "b", "c", "d"]
# color = ["red", "blue", "green", "grey"]
# squarify.plot(sizes=sizes, label=label, color=color, alpha=0.6)
# plt.axis('off')
# plt.show()
import matplotlib.pyplot as plt
import seaborn as sns
import squarify

rawdata = sns.load_dataset('titanic')
# print(rawdata.head())
n = rawdata.groupby('class')[['survived']].sum()
# print(n)
a = rawdata.groupby('class')[['survived']].sum().index.get_level_values(0).tolist()#取得index裡的[0]再轉為list
# print(a)
d = rawdata.groupby('class')[['survived']].sum().reset_index().survived.values.tolist()#This gives us the labels in the form of a list. To get the values corresponding to these labels, use :
# print(d)

squarify.plot(sizes=d, label=a, alpha=.8)
plt.axis('off')
plt.show()