ccc | 编译器学习

You're defining the interval like so:

Use DataFrame.sort_values with aggregate GroupBy.first and GroupBy.last and then append by DataFrame.join:

Unfortunately doing this directly by attempting to web scrape the search results using UrlFetchApp will not work. You can use third party tools to get the number of search results, however.

I tested this out using an exponential backoff method which sometimes is able to get past 429 errors when a fetch request is invoked by UrlFetchApp.

When using UrlFetchApp to either web scrape or to connect to an API, it can happen that the server denies the request on the grounds of too many requests - or HTTP Error 429.

Google Apps Script runs in the cloud, from a set of IP addresses in a pool that Google own. You can actually see all the IP ranges here. Most websites (especially large companies such as Google) have architecture in place to prevent the use of bots scraping their websites and slowing down traffic.

Sometimes it's possible to get past this error, using a mixture of exponential backoff and random time intervals as shown for the Binance API (Full Disclosure: this GitHub repository was written by me.)

I assume that either Google directly blocks the Apps Script IP pool, or there are simply too many people trying the same thing - because with the same techniques I was unable to get any response that didn't involve entering a captcha as we discussed in the comments above and can be seen in the log of the page string.

There are many third party APIs that you can use to do this, and I suggest searching for one that meets your needs.

I tested out one called Authoritas which returns search engine indexing for different keywords. The API is asynchornous, so can take up to a minute to get a response, so a Web App solution needs to be made.

The flow I used is as follows:

• Obtain API key from Authoritas (free)
• Create a new Apps Script project to make an API call:

If need exlude only Sundays use offsets.CustomBusinessDay:

While delegation is a perfectly fine solution, I tend to take an (in my opionion) simpler approach, and simply bind the handlers to the new elements:

As mentioned in the comments of the question, the answer is that I needed to be using a bash session, but was in fact using a zsh session.

Figured this out thanks to @Barmar by running echo $SHELL

As @Shawn mentioned:

== isn't understood by a basic POSIX-only test/[ (Or by zsh's implementation)

Running chsh -s /bin/bash to change from zsh to bash fixed it, and then I had to reopen the terminal for it to actually take effect (this may not be necessary for everyone, but at least for me using Hyper as my terminal emulator, the change didn't take effect until closing and reopening the app).

use vectorized way via np.select to insert a new column:

The pattern you're looking to follow is called 'Don't Repeat Yourself', or DRY. It's core principle is to create reusable generic structures which do not contain identifiers, but simply any metadata required for processing.

In this case you can provide all the input elements with common class names, not incremental ones nor id. Then in the JS you can determine which column the user is interacting with using index(). From there you can use map() to build an array of all the values in that column and sum them. Finally you can store the column price in a data attribute on the heading and multiply the quantity by that figure to give you your calculated total.

In practice it will look something like the below. Note that this JS will work for an infinite number of rows and columns, all it depends on is the data attribute on the th in order to provide the unit price.