The problem
How to post nice pieces of code to a blog? The desired properties are:- Beauty.
- Language awareness.
- Easy to copy to the clipboard.
- Easy to integrate in Blogger.
- Easy to maintain
One possible solution
Use Gist.You must have an account on GitHub. Gists are versioned text files, so you can alter them and fix any problems on the Gist page without having to deal with your blog page.How to integrate it into Blogger
After creating your Gist, copy the "Embed URL" to the clipboard:
<script src="https://gist.github.com/mrjimenez/bceea54fdf66a9aec7b2.js"></script>Reserve a space to integrate the Gist in your blog post. Then choose "HTML" in the Compose/HTML radio button. Insert that code in the proper place in your page, and your're done:
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| /** | |
| * Performs an exponential moving average of the specified range, | |
| * handling missing data in a way that does not distort the average. | |
| * | |
| * If the spcified window size is less than the range size, an array | |
| * is returned, so there is no need to call this function serveral | |
| * times in a row. | |
| * | |
| * @param alpha The geometric progression ratio. | |
| * @param windowSize The size of the moving average window. | |
| * @param values The range on which we will calculate the average. | |
| * @return The exponential moving average of the specified range. | |
| * @customfunction | |
| */ | |
| function ExponentialMovingAverage(alpha, windowSize, values) { | |
| var weights = []; | |
| for (var i = 0; i < windowSize; i++) { | |
| var w = Math.pow(alpha, windowSize - 1 - i); | |
| weights[weights.length] = w; | |
| } | |
| var average = WeightedMovingAverage(weights, values); | |
| return average; | |
| } | |
| /** | |
| * Performs a weighted moving average of the specified range, | |
| * handling missing data in a way that does not distort the average. | |
| * | |
| * @param weights An array with the weights to be applied. | |
| * @param values The range on which we will calculate the average. | |
| * @return The weighted moving average of the specified range. | |
| * @customfunction | |
| */ | |
| function WeightedMovingAverage(weights, values) { | |
| // If values is a scalar or weights is a scalar or | |
| // weights has length 1, return values. | |
| if (!values.map || !weights.map || weights.length === 1) { | |
| return values; | |
| } | |
| var windowSize = weights.length; | |
| var rows = values.length; | |
| if (windowSize > rows) { | |
| weights.splice(0, windowSize - rows); | |
| windowSize = weights.length; | |
| Logger.log("WARNING: windowSize greater than number of rows" + | |
| " in the range, truncating the weitghts to " + | |
| "the number of rows and using the last weights."); | |
| } | |
| /* If this function is called from the spreadsheet with a range, | |
| * weights will be array of columns, lets remove this extra | |
| * indirection. */ | |
| if (weights[0].map) { | |
| for (var i = 0; i < weights.length; i++) { | |
| weights[i] = weights[i][0]; | |
| } | |
| } | |
| var average = []; | |
| for (var i = 0; i < rows - windowSize + 1; i++) { | |
| var sumValues = 0; | |
| var sumWeigths = 0; | |
| for (var j = 0; j < windowSize; j++) { | |
| var x = values[i + j][0]; | |
| if (typeof x === "number") { | |
| var w = weights[j]; | |
| if (typeof w === "number") { | |
| sumWeigths += w; | |
| sumValues += w * x; | |
| } | |
| } | |
| } | |
| var avg = sumValues / sumWeigths; | |
| average[average.length] = avg; | |
| } | |
| return average; | |
| } |
Take a look at the snapshot:
