Đây là tệp JSON của tôi
{
"highest_table": {
"items": [{
"key": "Human 1",
"columns": {
"Na$me": "Tom",
"Description[ms/2]": "Table Number One on the Top",
"A&ge": "24",
"Ge_nder": "M"
}
},
{
"key": "Human 2",
"columns": {
"Na$me": "John",
"Description[ms/2]": "Table Number One on the Top",
"A&ge": "23",
"Ge_nder": "M"
}
}
]
}
}
Mục tiêu là xóa bất kỳ và tất cả các ký tự đặc biệt trong tên cột [hoặc nếu dễ dàng hơn bất kỳ ký tự đặc biệt nào trong tệp .json] và trả về tệp .json. Suy nghĩ ban đầu của tôi là chuyển đổi nó thành gấu trúc, xóa các ký tự đặc biệt trong tiêu đề cột và chuyển đổi nó trở lại tệp .json.
Đây là những gì tôi đã thử cho đến nay. Cả hai chỉ in một dòng duy nhất.
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
-
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
Làm cách nào tôi có thể trích xuất các cột, xóa các ký tự đặc biệt và đặt chúng trở lại trong tệp .json?
Các ký tự sau đây là các ký tự dành riêng và không thể được sử dụng trong JSON và phải được thoát ra đúng cách để được sử dụng trong các chuỗi.
Backspace được thay thế bằng \ b to be replaced with \b
Nguồn cấp dữ liệu hình thức được thay thế bằng \ f to be replaced with \f
Dòng mới được thay thế bằng \ n to be replaced with \n
Vận chuyển trở lại để được thay thế bằng \ r to be replaced with \r
Tab được thay thế bằng \ t to be replaced with \t
Báo giá kép được thay thế bằng \ " to be replaced with \"
-
Backslash để được thay thế bằng \\ to be replaced with \\
Phương thức jsonObject.Scape [] có thể được sử dụng để thoát khỏi các từ khóa dành riêng như vậy trong chuỗi JSON. Sau đây là ví dụ - method can be used to escape such reserved keywords in a JSON String. Following is the example −
Thí dụ
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }
Đầu ra
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.
Vấn đề chung mà các lập trình viên phải đối mặt là loại bỏ các ký tự không mong muốn khỏi một chuỗi bằng Python. Nhưng đôi khi yêu cầu ở trên và yêu cầu loại bỏ hơn 1 nhân vật, nhưng một danh sách các nhân vật độc hại như vậy. Đây có thể ở dạng ký tự đặc biệt để xây dựng lại mật khẩu hợp lệ và nhiều ứng dụng khác có thể. Vì vậy, nhiệm vụ của chúng tôi là loại bỏ các ký tự không mong muốn khỏi chuỗi.
Xóa ký hiệu khỏi chuỗi bằng str.alsalnum []
Phương thức Python String isalnum [] kiểm tra xem tất cả các ký tự trong một chuỗi nhất định có phải là chữ và số hay không. Nó trả về một boolean là đúng - nếu tất cả các ký tự là chữ và khác hoặc sai - nếu một hoặc nhiều ký tự không phải là chữ và số.
Python3
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
2import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
4import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
5import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
7import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
8data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4data_file = r"C:\characters.json"
df = pd.read_json[data_file]
5Output:
GeeksforGeeks
Xóa ký hiệu khỏi chuỗi bằng cách sử dụng thay thế [] & nbsp;
Người ta có thể sử dụng str.replace [] bên trong một vòng lặp để kiểm tra BAD_CHAR và sau đó thay thế nó bằng chuỗi trống do đó loại bỏ nó. Đây là cách tiếp cận cơ bản nhất và không hiệu quả trên quan điểm hiệu suất.
Python3
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
6import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
8data_file = r"C:\characters.json"
df = pd.read_json[data_file]
9____________import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }1
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }030333
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }0
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }5________________
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }7
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }8
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
4data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.4
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.6
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
8 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.8
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
0 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
56GeeksforGeeks1
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
2 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.8
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks0
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
0 GeeksforGeeks0
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
GeeksforGeeks7
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
GeeksforGeeks9
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
73Đầu ra
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks
Làm cách nào để loại bỏ các ký tự đặc biệt khỏi JSON?
Backspace được thay thế bằng \ b ..
Python3
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
6import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
8data_file = r"C:\characters.json"
df = pd.read_json[data_file]
9____________import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }1
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }030333
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }0
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }5________________
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }7
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }8
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
4data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.4
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.6
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
8 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.8
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
0 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
56data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
GeeksforGeeks7
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
GeeksforGeeks9
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
73Đầu ra
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks
Làm cách nào để loại bỏ các ký tự đặc biệt khỏi JSON?translate[]
Backspace được thay thế bằng \ b ..
Python3
Nguồn cấp dữ liệu hình thức được thay thế bằng \ f ..
Đường mới được thay thế bằng \ n ..
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
4data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.4
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.6
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
8 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.8
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
0 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
56GeeksforGeeks1
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
2 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.8
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks0
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
0 GeeksforGeeks0
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
33import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 GeeksforGeeks9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
36import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
39data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
GeeksforGeeks7
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
GeeksforGeeks9
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks0
Đầu ra: & nbsp;
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks
Xóa ký hiệu khỏi chuỗi bằng Filter [] & NBSP; filter[]
Đây là một giải pháp khác để thực hiện nhiệm vụ này. Sử dụng chức năng Lambda, chức năng bộ lọc có thể xóa tất cả các bad_chars và trả về chuỗi tinh chế mong muốn.
Python3
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
6import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
8data_file = r"C:\characters.json"
df = pd.read_json[data_file]
9____________import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }1
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }0
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }3
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }0
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }5
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }8
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
59data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.4
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.6
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
67import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
68Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
70 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
71__import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
75import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
76data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
GeeksforGeeks7
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
GeeksforGeeks9
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks0
Output:
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks
Đầu ra: & nbsp;re.sub[] function:
Original String : Ge;ek*s:fo!r;Ge*e*k:s! Resultant list is : GeeksforGeeks
Python3
Xóa ký hiệu khỏi chuỗi bằng Filter [] & NBSP;
Đây là một giải pháp khác để thực hiện nhiệm vụ này. Sử dụng chức năng Lambda, chức năng bộ lọc có thể xóa tất cả các bad_chars và trả về chuỗi tinh chế mong muốn.
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
6import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
8data_file = r"C:\characters.json"
df = pd.read_json[data_file]
9____________import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }1
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }0
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }3
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }0
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }5
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }8
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
59data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.4
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.6
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }9
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
67import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
68Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
70 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
71__Xóa ký hiệu khỏi chuỗi bằng hàm re.sub []: & nbsp;
Các biểu thức chính quy được sử dụng để xác định ký tự xấu trong hàm chuỗi và re.sub được sử dụng để thay thế bad_char từ chuỗi. & Nbsp;
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
00 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
84Output:
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
0import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
5import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
4
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
88import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
8import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
91import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }0 ____193____________
import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }5____________
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
97________________import org.json.simple.JSONObject; public class JsonDemo { public static void main[String[] args] { JSONObject jsonObject = new JSONObject[]; String text = "Text with special character /\"\'\b\f\t\r\n."; System.out.println[text]; System.out.println["After escaping."]; text = jsonObject.escape[text]; System.out.println[text]; } }7____38
Python3
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
03 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
05data_file = r"C:\characters.json"
df = pd.read_json[data_file]
06import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
32import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
8 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.8
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
0 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
12data_file = r"C:\characters.json"
df = pd.read_json[data_file]
50import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3data_file = r"C:\characters.json"
df = pd.read_json[data_file]
52GeeksforGeeks1
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
06Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
17data_file = r"C:\characters.json"
df = pd.read_json[data_file]
18import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3 data_file = r"C:\characters.json"
df = pd.read_json[data_file]
20data_file = r"C:\characters.json"
df = pd.read_json[data_file]
21data_file = r"C:\characters.json"
df = pd.read_json[data_file]
22data_file = r"C:\characters.json"
df = pd.read_json[data_file]
63data_file = r"C:\characters.json"
df = pd.read_json[data_file]
50Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
3data_file = r"C:\characters.json"
df = pd.read_json[data_file]
17data_file = r"C:\characters.json"
df = pd.read_json[data_file]
4Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.3
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
25 Text with special character /"' . After escaping. Text with special character \/\"'\b\f\t\r\n.5
GeeksforGeeks9
data_file = r"C:\characters.json"
df = pd.read_json[data_file]
28Xóa ký hiệu khỏi chuỗi bằng cách sử dụng trong, không phải trong các toán tử
import json
from pandas.io.json import json_normalize
data_file = r"C:\characters.json"
with open[data_file] as data_file:
data = json.load[data_file]
df = json_normalize[data]
1