Sequoia | share automatic stock selection program realizes the turtle | Business library

I made this correct, more pythonic way

Use str.split and value_counts:

stringr has str_trunc function to do return first n characters -

I've used your code to assemble a small example, which you can see below.

1. Inside svg > defs, create one pattern per node and use that pattern (with the ID of the company) to fetch the logo of that company;
2. Reference the pattern for the node using the information you already have.

Some pointers on your code:

1. You already use ES6 logic, so you can also use Array.prototype.map and other functions. They're generally much more readable (and natively implemented!) than d3.map;
2. There is no need to keep so many arrays of values, generally having fewer sources of truth for your data will make the code simpler to maintain and update in the future;
3. Use clear variable names! LS and LT are logical when you know the context, but when you revisit this code in 6 months you might not instantly know what you were talking about when you wrote it.

You can use response headers for that. The Content-Type header should tell you the type of the file and with Content-Disposition you can get the filename with extension.

In your code you can access these headers like this

You can wrap JavaScript code in R to use the Highcharts JS API for that purpose. You can find an article explaining how to do this here: https://www.highcharts.com/blog/tutorials/working-with-highcharts-javascript-syntax-in-r/?fbclid=IwAR1AipximplJVYVQbBerc2nu7xDe3Vn7o4HOtmPMU_Ntrzf4SgLyNtc9KVk

Then use the dataLabels.style.fontSize option to change that text size: https://api.highcharts.com/highcharts/series.organization.dataLabels.style.fontSize

Regarding changing the height of the node it is an additional option here like height. See as I did it in the demo below:

When you have multiple YAML documents in one file these are separated with a line consisting of three dashes, or starting with three dashes followed by a space. Most YAML parsers, including ruamel.yaml either expect a single document file (when using YAML().load()) or a multi-document file (when using YAML().load_all()).

The method .load() returns the single data structure, and complains if there seems to be more than one document (i.e. when it encounters the second --- in your file). The .load_all() method can handle one or more YAML documents, but always returns an iterator.

Your input happens to be a valid multi-document YAML file but the markdown part often makes this not be the case. It easily could always have been valid YAML by just changing the second --- into --- | thereby making the markdown part a (multi-line) literal scalar string. I have no idea why the designers of such YAML frontmatter formats didn't specify that, it might have to do that some parsers (like PyYAML) fail to parse such non-indented literal scalar strings at the root level correctly, although examples of those are in the YAML specification.

In your example the markdown part is so simple that it is valid YAML without having to specify the | for literal scalar string. So you could use .load_all() on this input. But just adding e.g. a line starting with a dash to the markdown section, will result in an invalid YAML document, so you if you use .load_all(), you have to make sure you do not iterate so far as to parse the second document:

There is a categorical variable instance 'undisclosed' in your df['Amount in USD'] which cannot be converted to int per se.

You need to map values that are not numeric with string type on your own, i.e.:

So as per you data structure your code should be something like