1.code：
import tushare as ts
import requests
from bs4 import BeautifulSoup
import pandas as pd
import matplotlib
matplotlib.use(‘TkAgg’)
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
fontproperties=FontProperties(fname=’/System/Library/Fonts/PingFang.ttc’)
picture = [‘exchange’,‘pair’,‘mount’]
kw = {‘user-agent’:‘Mozilla/5.0’}
url = ‘https://tushare.pro/document/41?doc_id=66’
r = requests.get(url,headers = kw)
soup = BeautifulSoup(r.text,‘html.parser’)
#获得国家名和简称
name_list = {}
trs = soup.find_all(‘tr’)
for tr in trs:
tds = tr.find_all(‘td’)
if len(tds) == 2:
short_name = ‘’.join(tds[0].contents)
name = ‘’.join(tds[1].contents)
name_list[short_name] = name
data = []
pro = ts.pro_api()
for country in name_list:
df = pro.coinexchanges(area_code = country)
data.append(df)
total_data = pd.concat(data)
#交易对最多的交易所
max_pair = total_data[total_data.pairs == total_data.pairs.max()]
max_name = max_pair[‘name’]
#交易对最少的交易所
min_pair = total_data[total_data.pairs == total_data.pairs.min()]
min_name = min_pair[‘name’]
#有期货交易的交易所个数
fut_yes = total_data[total_data[‘fut_trade’] ==‘Y’ ]
fut_num = len(fut_yes)
fut_ex_name = fut_yes[‘name’]
2.结果：
1.分布
2.费率
1.详细分析见公众号文章
2.点击可以注册tushare