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

data = {'labels': ["video","editing","resource","Subtitle","record","film", "video produce","youtuber","video editing","video resource"],
        'values':[50000,5000,50000,5000,5000,500,5000,50000,50000,5000]}
df = pd.DataFrame(data)
colors=['#fae588','#f79d65','#f9dc5c','#e8ac65','#e76f51','#ef233c','#b7094c'] #color palette

sns.set_style(style="whitegrid") # set seaborn plot style
sizes= df["values"].values# proportions of the categories
label=df["labels"]
squarify.plot(sizes=sizes, label=label, alpha=0.6,color=colors).set(title='Treemap with Squarify')
plt.axis('off')
plt.savefig("../img/filename.png", dpi = 300)