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# coding=utf-8
import pandas as pd
from matplotlib import pyplot as plt
file_path = "./starbucks_store_worldwide.csv"
df = pd.read_csv(file_path)
#使用matplotlib呈现出店铺总数排名前10的国家
#准备数据
data1 = df.groupby(by="Country").count()["Brand"].sort_values(ascending=False)[:10]
_x = data1.index
_y = data1.values
#画图
plt.figure(figsize=(20,8),dpi=80)
plt.bar(range(len(_x)),_y)
plt.xticks(range(len(_x)),_x)
plt.show()

# coding=utf-8
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import font_manager
my_font = font_manager.FontProperties(fname="/Library/Fonts/Songti.ttc")
file_path = "./starbucks_store_worldwide.csv"
df = pd.read_csv(file_path)
df = df[df["Country"]=="CN"]
#使用matplotlib呈现出店铺总数排名前10的国家
#准备数据
data1 = df.groupby(by="City").count()["Brand"].sort_values(ascending=False)[:25]
_x = data1.index
_y = data1.values
#画图
plt.figure(figsize=(20,12),dpi=80)
# plt.bar(range(len(_x)),_y,width=0.3,color="orange")
plt.barh(range(len(_x)),_y,height=0.3,color="orange")
plt.yticks(range(len(_x)),_x,fontproperties=my_font)
plt.show()