A reasonably fast JSON parser and generator, optimized for statistical data and the web.
Offers simple, flexible tools for working with JSON in R, and is particularly powerful for building pipelines and interacting with a web API.
In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data.
The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data
in systems and applications.
mxj is a Go library for working with JSON and XML data.
It allows you to convert between JSON and XML, merge JSON and XML documents,
and extract values from JSON and XML using a simple and intuitive API.
One of the main features of mxj is its ability to work with JSON and XML data in a
struct-like manner, allowing you to access values using dot notation.
```r
library("jsonlite")
json <- '["Mario", "Peach", null, "Bowser"]'
# load json to dataframe/array/matrix (determined automatically)
fromJSON(json)
```
```go
package main
import (
"fmt"
"github.com/clbanning/mxj"
)
func main() {
// Parse the JSON string
jsonData := []byte(`
{
"name": "John Doe",
"age": 30,
"address": {
"street": "Main St",
"city": "Anytown",
"state": "CA",
"zip": "12345"
},
"phones": [
"555-555-5555",
"555-555-5556"
]
}
`)
mv, err := mxj.NewMapJson(jsonData)
if err != nil {
fmt.Println("Error:", err)
return
}
// Extract the name
name, _ := mv.ValueForPath("name")
fmt.Println("name:", name) // "John Doe"
// Extract the city
city, _ := mv.ValueForPath("address.city")
fmt.Println("city:", city) // "Anytown"
// Extract all phone numbers
phones, _ := mv.ValuesForPath("phones")
for _, phone := range phones {
fmt.Println("phone:", phone)
}
// "555-555-5555"
// "555-555-5556"
}
```