如何解决进行迭代,如果字典A中的值大于字典B中的值,则将其放入字典C中?
此代码获取股票的当前价格及其当前的21天EMA。
import yfinance as yf
import numpy as np
import bs4
import stockquotes
import pandas as pd
symbol_name = ['F','XOM']
symbol_data = {}
for symbol in symbol_name:
ticker = stockquotes.Stock(symbol)
today_price = ticker.current_price
symbol_data[symbol] = today_price
print(symbol_data)
ema_data = {}
for x in symbol_name:
symbol = yf.Ticker(x)
quote = symbol.history(period='1mo',interval='1d')
quote = quote.sort_index()
ema = 21
quote['ewm'] = quote['Close'].ewm(span=ema,min_periods=0,adjust=False,ignore_na=False).mean()
ema_quote = quote['ewm'].iloc[-1]
ema_data[x] = ema_quote
print(ema_data)
输出:
{'F': 6.82,'XOM': 40.01}
{'F': 6.912368574990924,'XOM': 42.168230541483716}
我的问题是如何编写以下代码:
If a one of the stock's EMA is lower than it's current price then put it into a new dictionary.
有人可以指导我如何获得此信息吗?
解决方法
dict1 = {'F': 6.82,'XOM': 40.01}
dict2 = {'F': 6.912368574990924,'XOM': 42.168230541483716}
dict3 = {}
for key in dict1.keys():
if dict1.get(key) < dict2.get(key):
dict3[key] = dict2.get(key)
输出:
{'F': 6.912368574990924,'XOM': 42.168230541483716}
,
这应该有效:
for key in symbol_name:
if ema_data[key] < symbol_data[key]:
new_dict[key] = symbol_data[key]
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。