115 lines
3.0 KiB
Markdown
115 lines
3.0 KiB
Markdown
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---
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title: Mathematica
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pagination_prev: demos/cloud/index
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pagination_next: demos/bigdata/index
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---
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:::note
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This demo was last tested in 2023 April 22 in Mathematica 13.2.1
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:::
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[The "NodeJS" instructions](/docs/getting-started/installation/frameworks)
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describe installation steps for NodeJS projects. Mathematica has built-in
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features for external scripting with NodeJS. Helper functions can translate
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between CSV text and Mathematica datasets or arrays.
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Mathematica can also use [command-line tools](/docs/demos/desktop/cli)
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## Integration Details
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:::caution
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Mathematica includes `ExternalEvaluate` for running scripts in an external
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engine. In local testing, there were incompatibilities with recent NodeJS
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versions. This demo uses the shell integration to call a command-line tool.
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:::
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### Command-Line Tools
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`ExternalEvaluate` can run command-line tools and capture standard output:
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```mathematica
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cmd = "/usr/local/bin/xlsx-cli ~/Downloads/pres.numbers"
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csvdata = ExternalEvaluate["Shell" -> "StandardOutput", cmd];
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```
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Once evaluated, `ImportString` can interpret the data as a dataset. Typically
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the first row of the CSV output is the header row. The `HeaderLines` option
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controls how Mathematica parses the data:
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```mathematica
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data = ImportString[csvdata, "Dataset", "HeaderLines" -> 1]
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```
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## Complete Demo
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:::note
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This demo was tested in macOS. The path names will differ in other platforms.
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:::
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1) Create the standalone `xlsx-cli` binary:
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```bash
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cd /tmp
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npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz exit-on-epipe commander@2
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curl -LO https://docs.sheetjs.com/cli/xlsx-cli.js
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npx nexe -t 14.15.3 xlsx-cli.js
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```
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This is discussed in ["Command-line Tools"](/docs/demos/desktop/cli)
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2) Move the generated `xlsx-cli` to a fixed location in `/usr/local/bin`:
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```bash
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mkdir -p /usr/local/bin
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mv xlsx-cli /usr/local/bin/
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```
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### Reading a Local File
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3) In a new Mathematica notebook, run the following snippet:
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```mathematica
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SheetJSImportFile[x_] := ImportString[Block[{Print}, ExternalEvaluate[
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"Shell" -> "StandardOutput",
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"/usr/local/bin/xlsx-cli " <> x
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]], "Dataset", "HeaderLines" -> 1]
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```
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4) Download <https://sheetjs.com/pres.numbers> and save to Downloads folder.
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5) In the Mathematica notebook, run the new function. If the file was saved to
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the Downloads folder, the path will be `"~/Downloads/pres.numbers"` in macOS:
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```mathematica
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data = SheetJSImportFile["~/Downloads/pres.numbers"]
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```
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The result should be displayed in a concise table.
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### Reading from a URL
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`FetchURL` downloads a file from a specified URL. This function will be wrapped
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in a new function called `SheetJSImportURL`.
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6) In the same notebook, run the following:
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```mathematica
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Needs["Utilities`URLTools`"];
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SheetJSImportURL[x_] := Module[{path},(
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path = FetchURL["https://sheetjs.com/pres.numbers"];
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SheetJSImportFile[path]
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)];
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```
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7) Test by downloading the test file in the notebook:
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```mathematica
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data = SheetJSImportURL["https://sheetjs.com/pres.numbers"]
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```
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