JSON(JavaScript Object Notation) Presentation transcript
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The document provides an overview of JSON (JavaScript Object Notation), detailing its structure, syntax rules, and how it can be used for data interchange. It includes explanations on JSON schema for validating JSON files and instructions on how to read from and write to JSON files using Python. Additionally, it demonstrates how to access properties in JSON objects through Python code examples.
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![JSON Example
{
"name": "John Smith",
"age": 35,
"address": {
"street": "5 main St.",
"city": "Austin"
},
"children": ["Mary", "Abel"]
}](https://image.slidesharecdn.com/json-240325130220-4f6099c7/85/JSON-JavaScript-Object-Notation-Presentation-transcript-5-320.jpg)
![Writing JSON object to a file
Example:
person = { "name": "John Smith", "age": 35,
"address": {"street": "5 main St.", "city":
"Austin"}, "children": ["Mary", "Abel"]}
with open('person_to_json.json', 'w') as fp:
json.dump(person, fp, indent=4)
Using json.dump(), we can convert Python Objects to
JSON file.](https://image.slidesharecdn.com/json-240325130220-4f6099c7/85/JSON-JavaScript-Object-Notation-Presentation-transcript-11-320.jpg)
![Accessing JSON Properties in Python
Example:
Assume that you already loaded your person.json as
follows.
person = load_json('person.json')
To access the property "name"
Print(person["name"])
John Smith](https://image.slidesharecdn.com/json-240325130220-4f6099c7/85/JSON-JavaScript-Object-Notation-Presentation-transcript-12-320.jpg)
![Accessing JSON Properties in Python
Example:
Assume that you already loaded your person.json as
follows.
person = load_json('person.json')
To access the property “age"
person["age"]
35](https://image.slidesharecdn.com/json-240325130220-4f6099c7/85/JSON-JavaScript-Object-Notation-Presentation-transcript-13-320.jpg)
![Accessing JSON Properties in Python
Example:
Assume that you already loaded your person.json as
follows.
person = load_json('person.json')
To access the property “street"
print(person["address"]["street"])
5 main St.](https://image.slidesharecdn.com/json-240325130220-4f6099c7/85/JSON-JavaScript-Object-Notation-Presentation-transcript-14-320.jpg)
![Accessing JSON Properties in Python
Example:
Assume that you already loaded your person.json as
follows.
person = load_json('person.json')
To access the property “street"
print(person["address"]["city"])
Austin](https://image.slidesharecdn.com/json-240325130220-4f6099c7/85/JSON-JavaScript-Object-Notation-Presentation-transcript-15-320.jpg)
![Accessing JSON Properties in Python
Example:
Assume that you already loaded your person.json as
follows.
person = load_json('person.json')
To access the property “street"
print(person["children"][0])
Mary](https://image.slidesharecdn.com/json-240325130220-4f6099c7/85/JSON-JavaScript-Object-Notation-Presentation-transcript-16-320.jpg)
![Accessing JSON Properties in Python
Example:
Assume that you already loaded your person.json as
follows.
person = load_json('person.json')
To access the property “street"
print(person["children"][1])
Abel](https://image.slidesharecdn.com/json-240325130220-4f6099c7/85/JSON-JavaScript-Object-Notation-Presentation-transcript-17-320.jpg)
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◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
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◇需要报考公务员、购买免税车、落转户口
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JSON(JavaScript Object Notation) Presentation transcript
- 2. Outline What is JSON? Syntax Example Schema Validating JSON file Using JSON with Python Writing a JSON file Reading a JSON Accessing JSON Properties in Python
- 3. What is JSON? “JSON” stands for “JavaScript Object Notation” Lightweight data-interchange format Despite the name, JSON is a (mostly) language- independent way of specifying objects as name-value pairs Structured representation of data object Can be parsed with most modern languages JSON Schema can be used to validated a JSON file
- 4. JSON Syntax Rules JSON is almost identical to python dictionary except for In JSON, true and false are not capitalized In JSON, null is used instead of None Uses key/value pairs: {“name”: “John”} Uses double quotes around KEY and VALUE Must use the specified types File type is “.json” A value can be: A string, a number, true, false, null, an object, or an array Strings are enclosed in double quotes, and can contain the usual assortment of escaped characters
- 5. JSON Example { "name": "John Smith", "age": 35, "address": { "street": "5 main St.", "city": "Austin" }, "children": ["Mary", "Abel"] }
- 6. JSON Schema A JSON Schema allows you to specify what type of data can go into your JSON files. It allows you to restrict the type of data entered.
- 7. JSON Schema { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" }, "address": { "type": "object", "properties": { "street": { "type": "string" }, "city": { "type": "string" } } "children": { "type": "array", "items": { "type": "string } } } }
- 8. Validating JSON file The following website can be used to validate a JSON file against a schema https://www.jsonschemavalidator.net/ Paste both the schema and the corresponding JSON file
- 9. Using JSON with Python To work with JSON (string, or file containing JSON object), you can use Python's json module. import json
- 10. Loading JSON data from a file Example: def load_json(filename): with open(filename) as file: jsn = json.load(file) #file.close() return jsn person = load_json('person.json') This command parse the above person.json using json.load() method from the json module. The result is a Python dictionary.
- 11. Writing JSON object to a file Example: person = { "name": "John Smith", "age": 35, "address": {"street": "5 main St.", "city": "Austin"}, "children": ["Mary", "Abel"]} with open('person_to_json.json', 'w') as fp: json.dump(person, fp, indent=4) Using json.dump(), we can convert Python Objects to JSON file.
- 12. Accessing JSON Properties in Python Example: Assume that you already loaded your person.json as follows. person = load_json('person.json') To access the property "name" Print(person["name"]) John Smith
- 13. Accessing JSON Properties in Python Example: Assume that you already loaded your person.json as follows. person = load_json('person.json') To access the property “age" person["age"] 35
- 14. Accessing JSON Properties in Python Example: Assume that you already loaded your person.json as follows. person = load_json('person.json') To access the property “street" print(person["address"]["street"]) 5 main St.
- 15. Accessing JSON Properties in Python Example: Assume that you already loaded your person.json as follows. person = load_json('person.json') To access the property “street" print(person["address"]["city"]) Austin
- 16. Accessing JSON Properties in Python Example: Assume that you already loaded your person.json as follows. person = load_json('person.json') To access the property “street" print(person["children"][0]) Mary
- 17. Accessing JSON Properties in Python Example: Assume that you already loaded your person.json as follows. person = load_json('person.json') To access the property “street" print(person["children"][1]) Abel
- 18. Python – JSON Objects