if json valide js
function IsJsonString(str) {
try {
JSON.parse(str);
} catch (e) {
return false;
}
return true;
}
if json valide js
function IsJsonString(str) {
try {
JSON.parse(str);
} catch (e) {
return false;
}
return true;
}
javascript is valid json string
function isValidJSONString(str) {
try {
JSON.parse(str);
} catch (e) {
return false;
}
return true;
}
//usage
var personJSONString = '{"first_name":"Tony","last_name":"Hawk","age":31}';
if(isValidJSONString(personJSONString)){
//cool we are valid, lets parse
var person= JSON.parse(personJSONString);
}
how to verify json format is valid
I use Gson class in order to convert a
Json object into a java object.
If it works without any error, it means that it is a valid json format...
import com.google.gson.Gson;
public class JSONUtils {
Gson gson = new Gson();
public boolean isJSONValid(String jsonInString) {
try {
gson.fromJson(jsonInString, Object.class);
return true;
} catch(com.google.gson.JsonSyntaxException e) {
return false;
}
}
}
JSON validate
#convert column to string
df['movie_title'] = df['movie_title'].astype(str)
#but it remove numbers in names of movies too
df['titles'] = df['movie_title'].str.extract('([a-zA-Z ]+)', expand=False).str.strip()
df['titles1'] = df['movie_title'].str.split('(', 1).str[0].str.strip()
df['titles2'] = df['movie_title'].str.replace(r'\([^)]*\)', '').str.strip()
print df
movie_title titles titles1 titles2
0 Toy Story 2 (1995) Toy Story Toy Story 2 Toy Story 2
1 GoldenEye (1995) GoldenEye GoldenEye GoldenEye
2 Four Rooms (1995) Four Rooms Four Rooms Four Rooms
3 Get Shorty (1995) Get Shorty Get Shorty Get Shorty
4 Copycat (1995) Copycat Copycat Copycat
como validar un json
let textoJSON = '{ "delegacionId": "0091" <<<ERROR>>> "places": ["Africa", "America", "Asia", "Australia"] }',
objeto;
try {
objeto = JSON.parse(textoJSON);
console.log('Sintaxis Correcta');
}
catch (error) {
if(error instanceof SyntaxError) {
let mensaje = error.message;
console.log('ERROR EN LA SINTAXIS:', mensaje);
} else {
throw error; // si es otro error, que lo siga lanzando
}
}
JSON validate
S=pd.Series(['Finland','Colombia','Florida','Japan','Puerto Rico','Russia','france'])
[itm[0] for itm in S.str.findall('^[Ff].*') if len(itm)>0]
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