Loading data
One of Nu’s most powerful assets in working with data is the open command. It is a multi-tool that can work with a number of different data formats. To see what this means, let’s try opening a json file:
In a similar way to , opening a file type that Nu understands will give us back something that is more than just text (or a stream of bytes). Here we open a “package.json” file from a JavaScript project. Nu can recognize the JSON text and parse it to a table of data.
If we wanted to check the version of the project we were looking at, we can use the get command.
1.0.0
Nu currently supports the following formats for loading data directly into tables:
- csv
- eml
- ics
- ini
- json
- nuon
- ods
- ssv
- toml
- tsv
- url
- vcf
- xlsx / xls
- xml
- yaml / yml
But what happens if you load a text file that isn’t one of these? Let’s try it:
> open README.md
We’re shown the contents of the file.
An important part of working with data coming from outside Nu is that it’s not always in a format that Nu understands. Often this data is given to us as a string.
Let’s imagine that we’re given this data file:
> open people.txt
Octavia | Butler | Writer
Antonio | Vivaldi | Composer
Each bit of data we want is separated by the pipe (‘|’) symbol, and each person is on a separate line. Nu doesn’t have a pipe-delimited file format by default, so we’ll have to parse this ourselves.
The first thing we want to do when bringing in the file is to work with it a line at a time:
We can see that we’re working with the lines because we’re back into a table. Our next step is to see if we can split up the rows into something a little more useful. For that, we’ll use the command. split, as the name implies, gives us a way to split a delimited string. We will use ‘s column
subcommand to split the contents across multiple columns. We tell it what the delimiter is, and it does the rest:
> open people.txt | lines | split column "|"
───┬──────────┬───────────┬───────────
# │ column1 │ column2 │ column3
───┼──────────┼───────────┼───────────
0 │ Octavia │ Butler │ Writer
1 │ Bob │ Ross │ Painter
2 │ Antonio │ Vivaldi │ Composer
───┴──────────┴───────────┴───────────
That almost looks correct. It looks like there’s an extra space there. Let’s trim that extra space:
> open people.txt | lines | split column "|" | str trim
───┬─────────┬─────────┬──────────
# │ column1 │ column2 │ column3
0 │ Octavia │ Butler │ Writer
1 │ Bob │ Ross │ Painter
2 │ Antonio │ Vivaldi │ Composer
───┴─────────┴─────────┴──────────
> open people.txt | lines | split column "|" | str trim | get column1
───┬─────────
0 │ Octavia
1 │ Bob
2 │ Antonio
───┴─────────
We can also name our columns instead of using the default names:
Now that our data is in a table, we can use all the commands we’ve used on tables before:
> open people.txt | lines | split column "|" first_name last_name job | str trim | sort-by first_name
# │ first_name │ last_name │ job
───┼────────────┼───────────┼──────────
0 │ Antonio │ Vivaldi │ Composer
1 │ Bob │ Ross │ Painter
2 │ Octavia │ Butler │ Writer
───┴────────────┴───────────┴──────────
There are other commands you can use to work with strings:
There is also a set of helper commands we can call if we know the data has a structure that Nu should be able to understand. For example, let’s open a Rust lock file:
> open Cargo.lock
# This file is automatically @generated by Cargo.
# It is not intended for manual editing.
[[package]]
name = "adhoc_derive"
version = "0.1.2"
The “Cargo.lock” file is actually a .toml file, but the file extension isn’t .toml. That’s okay, we can use the from
command using the toml
subcommand:
> open Cargo.lock | from toml
──────────┬───────────────────
metadata │ [row 107 columns]
package │ [table 130 rows]
──────────┴───────────────────
The from
command can be used for each of the structured data text formats that Nu can open and understand by passing it the supported format as a subcommand.
In addition to loading files from your filesystem, you can also load URLs by using the command. This will fetch the contents of the URL from the internet and return it:
> fetch https://blog.rust-lang.org/feed.xml
──────┬───────────────────
feed │ {record 2 fields}