Question

        import pandas as pd
        import json
        import urllib.request
        from time import time, sleep
        from datetime import datetime


        #
        #
        # Still need to add DateTime stamp to each entry and save DataFrame to csv file with self                         updating name
        #
        #

        # This only works for API's that return a string formatted like a dictionary


        # ticker_url is the link to your market 
        # y_seconds is how many seconds code waits before running again. Typically API requests are limited in this
        # case it is limited to 1 time per second 
        # 
        # You may need to adjust your column names You can check column name by uncommenting and running this code below
        #
        # ticker_url = 'https://api.bittrex.com/v3/markets/btc-usdt/ticker'
        # with urllib.request.urlopen(ticker_url) as response:
        #      html = response.read()

        ticker_url = 'https://api.bittrex.com/v3/markets/btc-usdt/ticker'
        interval_in_hours = .01
        end_time = time() + interval_in_hours * 3600
        y_seconds = 1
        ticker_list = pd.DataFrame(columns = ['Symbol' , 'Last Trade', 'Bid' , 'Ask'])

        while time() < end_time:

            with urllib.request.urlopen(ticker_url) as response:
               html = response.read()

            ticker_data = json.loads(html)
            ticker_list = ticker_list.append(ticker_data , ignore_index=True)
            sleep(y_seconds)

        ticker_list.to_csv('market_data'+str(datetime.timestamp)+'.csv')

对于编辑过程，我有一些笔记要注意，但是我现在遇到的主要问题是在此处格式化最后一行：


        ticker_list.to_csv('market_data'+str(datetime.timestamp)+'.csv')

此代码已创建此文件


        market_data<method 'timestamp' of 'datetime.datetime' objects>.csv

我希望它能阅读market_data20191130133030

2019年11月30日下午1:30和30秒。我希望时间戳读取文件创建的时间。

有人可以帮我解决这个问题吗？

Answer 1

datetime.timestamp()是numpy.argmin。因此，将您呼出的行更改为：

ticker_list.to_csv('market_data'+str(datetime.timestamp())+'.csv')

但是，datetime.timestamp()返回POSIX时间戳（自1970年1月1日以来的秒数）。如果要使用YYYYMMDDHHMMSS格式的时间戳，则需要使用datetime.strftime(format)。您将使用的格式为%Y%m%d%H%M%S。

日期时间戳不能正确读取为字符串

1 个答案: