使用命令行将json数据导出到csv(一行命令搞定)
命令行导出json数据到csv
临近年终,经常遇到把接口数据导出到csv,再进一步做成图表放入PPT中的诉求,毕竟PPT才是最好的语言!
每次导出数据都要写一堆代码,未免太浪费时间,送你一串神奇的命令行指令,让你快速导出json到csv中,事半功倍!
处理json,肯定绕不过jq
这个命令。之前的文章:《教你在命令行操作JSON》介绍了jq
基础的用法。本篇文章就借着导出数据这个实际的需求,再介绍下jq
的高级用法
简单
先来个简单版本的,接口响应内容如下,我们只想导出其中的code
、name
字段到scv
[ {"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"}, {"code": "AB", "name": "Alberta", "level":"province", "country": "CA"}, {"code": "ABD", "name": "Aberdeenshire", "level":"council area", "country": "GB"}, {"code": "AK", "name": "Alaska", "level":"state", "country": "US"} ]
$ cat j.json | jq -r '. | ["name", "code"], map([.name, .code])[] | @csv' "name","code" "New South Wales","NSW" "Alberta","AB" "Aberdeenshire","ABD" "Alaska","AK"
可以先尝试自行理解上面jq
的使用,下面我们加大难度,自动提取数据的全部字段,并添加表头
进阶
先看下进阶版本的全貌,为了换行更加清晰的展示,这里把jq
的filter
单独放入了一个文件,在执行jq
的时候只需要指定-f file
即可。效果和在命令行中一样。
# filters 文件内容 (map(keys) | add | unique) as $header | map(. as $row | $header | map($row[.])) as $rows | $header, $rows[] | @csv
# j.json文件内容 # [ # {"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"}, # {"code": "AB", "name": "Alberta", "level":"province", "country": "CA"}, # {"code": "ABD", "name": "Aberdeenshire", "level":"council area", "country": "GB"}, # {"code": "AK", "name": "Alaska", "level":"state", "country": "US"} # ] $ cat j.json | jq -r -f filters | tee j.csv "code","country","level","name" "NSW","AU","state","New South Wales" "AB","CA","province","Alberta" "ABD","GB","council area","Aberdeenshire" "AK","US","state","Alaska"
提取csv的表头
(map(keys) | add | unique) as $header
用来提取csv第一行需要的表头。逐个命令看下
✨ keys
对象所有key组成的数组
$ echo '{"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"}' | jq 'keys' [ "code", "country", "level", "name" ]
✨ map(f)
可以对数组的每一项进行f
操作,然后合并结果
$ echo '[{"name": "foo"},{"name": "bar"},{"name": "foobar"}]' | jq 'map(.name)' [ "foo", "bar", "foobar" ]
f
可以是更复杂的函数,例如length
可以获取字符串或数组的长度,把length
放到map
中,得到数组每一个元素的长度
$ echo '["foo", "bar", "foobar"]' | jq 'map(length)' [ 3, 3, 6 ]
所以map(keys)
对于下面这段json来说。对数组中每一个元素执行keys
,即对象所有key组成的数组
# j.json [ {"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"}, {"code": "AB", "name": "Alberta", "level":"province", "country": "CA"}, {"code": "ABD", "name": "Aberdeenshire", "level":"council area", "country": "GB"}, {"code": "AK", "name": "Alaska", "level":"state", "country": "US"} ]
$ cat j.json | jq 'map(keys)' [ [ "code", "country", "level", "name" ], [ "code", "country", "level", "name" ], [ "code", "country", "level", "name" ], [ "code", "country", "level", "name" ] ]
✨ add | unique
顾名思义,首先将数组合并,然后再去重
$ cat j.json | jq 'map(keys) | add | unique' [ "code", "country", "level", "name" ]
(map(keys) | add | unique) as $header
总结就是遍历要转换成csv的每一条数据,取每一条数据的所有key,合并去重。相比于取数据的第一条作为表头,这种方式获取了所有数据的字段,避免第一条后面数据的字段多于第一条的情况
生成表格数据
map(. as $row | $header | map($row[.])) as $row
就是生成表格内容的主要命令
最外层的map
遍历处理每一行数据,我们看看如何对每一行进行处理
🌲 . as $row
相当于给当前行命名成$row
🌲$header | map($row[.])
此时上下文已经变成了$header
🌲🌲 ``map(遍历表头的每一个字段,从row中获取对应的值。类似
、row["country"]、
$row["level"]`这样
对每一行处理完后,就得到了多行的表格的内容区域
$ cat j.json | jq -r '(map(keys) | add | unique) as $header | map(. as $row | $header | map($row[.])) as $rows | $header, $rows[] ' [ "code", "country", "level", "name" ] [ "NSW", "AU", "state", "New South Wales" ] [ "AB", "CA", "province", "Alberta" ] [ "ABD", "GB", "council area", "Aberdeenshire" ] [ "AK", "US", "state", "Alaska" ]
输出成csv
@csv
指令能很好的完成把数组转换成csv的工作。
最终完成的效果如下,说简单也简单,说复杂也复杂。命令有点长,往后滑👉
$ cat j.json | jq -r '(map(keys) | add | unique) as $header | map(. as $row | $header | map($row[.])) as $rows | $header, $rows[] | @csv' "code","country","level","name" "NSW","AU","state","New South Wales" "AB","CA","province","Alberta" "ABD","GB","council area","Aberdeenshire" "AK","US","state","Alaska"
课后题
有时候接口返回的数据可能会是如下结构,思考下如何利用jq
完成csv的转换吧
{ "headers": [ "code", "name", "level", "country" ], "data": [ ["NSW", "New South Wales", "state", "AU"], ["AB", "Alberta", "province", "CA"], ["ABD", "Aberdeenshire", "council area", "GB"], ["AK", "Alaska", "state", "US"] ]
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