Aggregate CSV data using a custom aggregation expression. The result of running
the command will be a single row of CSV containing the result of aggregating
the whole file.
You can, for instance, compute the sum of a column:
$ xan agg 'sum(retweet_count)' file.csv
You can use dynamic expressions to mangle the data before aggregating it:
$ xan agg 'sum(retweet_count + replies_count)' file.csv
You can perform multiple aggregations at once:
$ xan agg 'sum(retweet_count), mean(retweet_count), max(replies_count)' file.csv
You can rename the output columns using the 'as' syntax:
$ xan agg 'sum(n) as sum, max(replies_count) as "Max Replies"' file.csv
This command can also be used to aggregate a selection of columns per row,
instead of aggregating the whole file, when using the --cols flag. In which
case the expression will take a single variable named `cell`, representing
the value of the column currently processed.
For instance, given the following CSV file:
name,count1,count2
john,3,6
lucy,10,7
Running the following command (notice the `cell` variable in expression):
$ xan agg --cols count1,count2 'sum(cell) as sum'
Will produce the following output:
name,count1,count2,sum
john,3,6,9
lucy,10,7,17
For a quick review of the capabilities of the expression language,
check out the `xan help cheatsheet` command.
For a list of available functions, use `xan help functions`.
For a list of available aggregation functions, use `xan help aggs`
instead.
Usage:
xan agg [options] <expression> [<input>]
xan agg --help
agg options:
-E, --errors <policy> What to do with evaluation errors. One of:
- "panic": exit on first error
- "ignore": ignore row altogether
- "log": print error to stderr
[default: panic].
--cols <columns> Aggregate a selection of columns per row
instead of the whole file. A special `cell`
variable will represent the value of a
selected column in the aggregation expression.
Common options:
-h, --help Display this message
-o, --output <file> Write output to <file> instead of stdout.
-n, --no-headers When set, the first row will not be evaled
as headers.
-d, --delimiter <arg> The field delimiter for reading CSV data.
Must be a single character.