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;
}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
S=pd.Series(['Finland','Colombia','Florida','Japan','Puerto Rico','Russia','france'])
[itm[0] for itm in S.str.findall('^[Ff].*') if len(itm)>0]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 CopycatJSON validate
**Output:** ['Finland', 'Florida', 'france']JSON validate
import numpy as np
df['first_five_Letter']=df['Country (region)'].str.extract(r'(^w{5})')
df.head()Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
