如何做到这一点，以便提取所有可用数据，而不是专门为此脚本键入日期范围？

发布于 2025-01-12 23:41:09 字数 343 浏览 0 评论 0原文

可用选项日期如下。我怎样才能编写代码，以便它提取所有这些日期，而不必将它们全部输入到单独的行中？

<代码>2022-03-11、2022-03-18、2022-03-25、2022-04-01、2022-04-08、2022-04-14、2022-04-22、2022-05-20 , 2022-06-17, 2022-07-15, 2022-10-21, 2023-01-20, 2024-01-19

import yfinance as yf

gme = yf.Ticker("gme")

opt = gme.option_chain('2022-03-11')

print(opt)

原文

The available options dates are below. How can I write a code so that it pulls all those dates instead of having to type them all out in a separate row?

2022-03-11, 2022-03-18, 2022-03-25, 2022-04-01, 2022-04-08, 2022-04-14, 2022-04-22, 2022-05-20, 2022-06-17, 2022-07-15, 2022-10-21, 2023-01-20, 2024-01-19

import yfinance as yf

gme = yf.Ticker("gme")

opt = gme.option_chain('2022-03-11')

print(opt)

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嘦怹 2025-01-19 23:41:09

首先，由于这些日期没有规则的模式，您应该创建一个日期列表。

list1=['2022-03-11', '2022-03-18', '2022-03-25', '2022-04-01', '2022-04-08', '2022-04-14', '2022-04-22', '2022-05-20', '2022-06-17', '2022-07-15', '2022-10-21', '2023-01-20', '2024-01-19']

创建列表后，您可以按照您的方式启动代码：

import yfinance as yf

gme = yf.Ticker("gme")

但是现在，因为您希望打印出所有内容，并且我假设您需要将其保存到文件中以获得更好的视图（如我已经检查了输出，我个人更喜欢 csv for yfinance），您可以这样做：

for date in list1:
    df = gme.option_chain(date)
    df_call = df[0]
    df_put = df[1]
    df_call.to_csv(f'call_{date}.csv')
    df_put.to_csv(f'put_{date}.csv')

First of all, as these dates have no regular pattern, you should create a list of the dates.

list1=['2022-03-11', '2022-03-18', '2022-03-25', '2022-04-01', '2022-04-08', '2022-04-14', '2022-04-22', '2022-05-20', '2022-06-17', '2022-07-15', '2022-10-21', '2023-01-20', '2024-01-19']

After you have created the list, you can initiate your code as how you have done:

import yfinance as yf

gme = yf.Ticker("gme")

But right now, since you would want to have everything being printed out, and I assume you would need to save it to file for a better view (as I have checked the output and I personally prefer csv for yfinance), you can do this:

for date in list1:
    df = gme.option_chain(date)
    df_call = df[0]
    df_put = df[1]
    df_call.to_csv(f'call_{date}.csv')
    df_put.to_csv(f'put_{date}.csv')

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