最小生成树问题

Question

我在网上找到了此代码，但缺少某些部分。 我添加了 statsmodels.api

import requests        # for making http requests to binance
import json            # for parsing what binance sends back to us
import pandas as pd    # for storing and manipulating the data we get back
import numpy as np     # numerical python, i usually need this somewhere 
                   # and so i import by habit nowadays

import statsmodels.api as sm

import matplotlib.pyplot as plt # for charts and such

import datetime as dt  # for dealing with times

def get_bars(symbol, interval = '1h'):
   root_url = 'https://api.binance.com/api/v1/klines'
   url = root_url + '?symbol=' + symbol + '&interval=' + interval
   data = json.loads(requests.get(url).text)
   df = pd.DataFrame(data)
   df.columns = ['open_time',
             'o', 'h', 'l', 'c', 'v',
             'close_time', 'qav', 'num_trades',
             'taker_base_vol', 'taker_quote_vol', 'ignore']
   df.index = [dt.datetime.fromtimestamp(x/1000.0) for x in df.close_time]
   return df

symbols = 
json.loads(requests.get("https://api.binance.com/api/v1/exchangeInfo").text)
symbols = [symbol['symbol'] for symbol in symbols['symbols'] if 
symbol['quoteAsset'] == 'ETH']

ethusdt = get_bars('ETHUSDT')

price_data = []
new_symbols = []
for symbol in symbols:
    print(symbol)
    data = get_bars(symbol)
    new_symbols.append(symbol.replace('ETH','USDT'))
    price_data.append(data['c'].astype('float') * 
ethusdt['c'].astype('float'))

combo = pd.concat(price_data, axis = 1)
combo.columns = new_symbols

mst = sm.MinimumSpanningTree(dataset = np.log(combo).diff().T)

运行代码时，我收到此错误。 这里有什么问题？

mst = sm.MinimumSpanningTree(dataset = np.log(combo).diff().T)
AttributeError: module 'statsmodels.api' has no attribute 'MinimumSpanningTree'

Answer 1

我安装了 statsmodels 并从这里运行解决方案来寻找树。 我还在我的安装区域中对软件包进行了目录搜索，然后列出了所有包含的文件； 文件名或内容中带有“树”的唯一文件是sandbox/regression/treewalkerclass.py 。

我初步得出结论，在statsmodels的当前版本 (0.9.0) 中确实没有这样的属性。