You get subtotal sums for each of the selected columns.
The code speaks for itself in this post from Max Makhrov in which he shows how to create a custom function for Google Sheets to subtotal groups of columns. There is some impressive data manipulation/reshaping going on in the function and some nice use of using arrays in formula created with brackets { }. Some of the code is also written with OpenAI/ChatGPT (I’m guessing anything with a for loop). The icing on top is the conditional formatting for group totals. Follow the source link for all the code.
The library lets you send emails, using MailApp, GmailApp, and Gmail API. The library takes care of parameters, so you do not need to care about which method to use. I had trouble with my project when I wanted to automatically send emails and suddenly for me we’ve reached the daily limit. This is why I’ve decided to make some research and be sure fewer bad things happen in the future.
If you are looking for a deep dive into Google Apps Script powered email sending options you are at the door of enlightenment. In this post from Max Makrov you not only to get an explanation of the options and benefits for sending email with MailApp, GmailApp and the Gmail API, but also a handy library, MmailApp. which makes it easy to switch between all three.
This week was the first time I’ve tried AWS. I wanted to test AWS SES to write some emails with the help of Amazon. The learning curve was painful for me because I was totally lost in the documentation. Here’s what I came through
Max Makhrov is on a role with Google Apps Script and Google Sheets development. As well as this latest Medium post looking at Amazon AWS Simple Email Service (or as Max discovered – ‘Not so Simple Email Service’) if not already well worth following Max on Twitter (@max__makhrov) for lots of very useful Google Sheets/Script tips.
If you are hitting your quotas on Google Workspace daily email sends using AWS SES could be one solution. If you want to avoid the bold banners in recipients inboxes here’s some additional required reading on How to Set Up AWS SES and Avoid Spam Folders is essential reading. This covers setting up DNS records for SPF, DKIM, DMARC when using AWS SES. As these changes are required at a DNS level it’s not possible to set this up on regular @gmail.com accounts.
All PDF settings including colontitles = custom headers and footers.
Input parameters is a single plain object.
The library uses the printing features of Google Spreadsheets to provide a complete representation of a document in a different format. It contains a huge amount of features There are settings such as page size, headers and footers, colontitles, gridlines, notes and more.
Convert selected range into PNG image and save it to Drive
In this post from Max Makhrov you can discover how you can convert a selected Google Sheets range to an image. With options to embed charts and tables in Google Docs and Slides you might be asking why you would want to do this. Max highlights a couple of great reasons:
You need to create a screenshot and use it later: send it to Telegram or email, or use it in Slides.
You want to create an image of cells as you see them on screen, containing images, charts, sparklines, etc.
You want to create a screenshot of a range that does not fit your screen.
You want to create a screenshot of a range with high resolution.
There are some limitations with this approach which are outlined in the post and if you have any solutions there is a link to contribute to the GitHub repo.
Updated the script for dependent lists, and now it supports new options. New for 2022:
Dependent drop-down lists can be used to create a dynamic list of choices in Google Sheets. When the user makes a selection from the first drop-down list, the choices in the second drop-down list will be updated based on the selection. This can be used to create a cascading list of choices.
If you are looking for a nice solution to build dependent drop-down lists in Google Sheets this is a great solution from Max Makhrov. For more experienced Google Apps Script developers the solution incorporates some clever snippets both from Max and a number of other members of the community. Some highlights include: converting a column index into corresponding column letter; a tasker to batch apply updates to a Google Sheet; ChuckyCache for objects above 100Kb; and a reference to a zip compression solution. All these are referenced in the source code provided in the post.
One of the benefits of Google moving Apps Script to the V8 engine is the possibility to drop in existing JavaScript libraries. Max Makhrov recently highlighted on Twitter how JSONata, which can be used to query and transform JSON data can be used in Google Apps Script:
JSONata is a lightweight query and transformation language for JSON data. Inspired by the ‘location path’ semantics of XPath 3.1, it allows sophisticated queries to be expressed in a compact and intuitive notation. A rich complement of built in operators and functions is provided for manipulating and combining extracted data, and the results of queries can be formatted into any JSON output structure using familiar JSON object and array syntax. Coupled with the facility to create user defined functions, advanced expressions can be built to tackle any JSON query and transformation task. – JSONata
JSONata is a solution better understood by trying it out, which you can do thanks to the script project shared by Max on Twitter or on the JSONata website. If you are interested in data query/manipulation solutions for Google Apps Script you might also want to check out our previous post on using AlaSQL for Apps Script.
The idea: perform the same action on multiple sheets. The idea is not new, my approach was to use macro each time to see the correct code snippet. It was useful and saved me hours on my current project.
A clever solution from Max Makhrov with some boilerplate script that makes it easy to use a recorded macro across multiple sheets. To make this solution even better I’ve suggested an addition which activates the sheet which makes it easier to reference recorded macro functions. To see in action here is a copy of Max’s Google Sheet with updated code.
Sometimes my best option is to write code on the go rather than using libraries or searching for ready-to-use code. I’ve made a short script for parsing URLs and putting the result into my Google Sheet.
As a developer it is always interesting to see how other people approach problems. This little snippet from Max Makhrov caught my eye because the approach to parsing data in a Google Sheet wasn’t one I’d seen before. Follow the source link to have a look yourself…
