Hands-On Data Preprocessing in Python by Roy Jafari

Author:Roy Jafari [Jafari, Roy]
Language: eng
Format: epub
Tags: Data analysis, Python data analytics, Data Preprocessing, Data Cleaning, Data Masaging, Python
Publisher: Packt Publishing
Published: 2022-01-14T00:00:00+00:00

Now, let’s dissect this code together. Every API request needs to be expressed in a web address. This is universally true; the way you should translate your request into a web address might be somewhat different for different web servers, but they are very similar. If you have already run the proceeding code, when you execute print(API_address), as realized in the following screenshot, you will see the web address that claims to have the API key of abcdefghijklmnopq and requests the weekly Amazon stock price from January 1 to December 30, 2020. Study the web address and find out each segment of the address before reading on.

Figure 4.6 – Printing API_address The following bullet points list and explain the different parts of the web address:

symbol=AMZN specifies that you want the prices with the stock ticker AMZN, which indicates Amazon.

resolution=W specifies that you want the weekly prices. You could request minute by minute, every 5 minutes, every 15 minutes, every half an hour, hourly, daily, weekly, and monthly prices by using, respectively, 1, 5, 15, 30, 60, D, W, and M.

from=1577865600 specifies the time from which you want data. The weird-looking number is a timestamp for January 1, 2020.

to=1609315200 specifies the time up to which you want data. The weird-looking number is a timestamp for December 30, 2020.

token=abcdefghijklmnopq specifies the API key for this address.

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