keyword_analytic_web/archived/test/treemap6.py

import matplotlib.pyplot as plt
import seaborn as sns
import squarify
import pandas as pd

rawdata = pd.read_csv('../docs/keyword.csv')


# rawdata = sns.load_dataset(df)
# print(rawdata.head())
# n = rawdata.groupby('Competition')[['Avg. monthly searches']].sum()
# print(n)

a = rawdata.groupby('Keyword')[['Avg_monthly_searches']].sum().index.get_level_values(0).tolist()#取得index裡的[0]再轉為list
print(a)
d = rawdata.groupby('Keyword')[['Avg_monthly_searches']].sum().reset_index().Avg_monthly_searches.values.tolist()#This gives us the labels in the form of a list. To get the values corresponding to these labels, use :
print(d)
plt.rcParams['font.sans-serif'] = ['Taipei Sans TC Beta']
squarify.plot(sizes=d, label=a, alpha=.8)
plt.axis('off')
plt.show()