import json with open('complex_data.json') as file: data = json.load(file) df = json_normalize(data, 'calls', ['customer_id', 'name']) df.to_excel('complex_output.xlsx', index=False) JSON with Multiple Arrays This example deals with a JSON file where each customer has multiple ar...
One of the common approach to convert JSON data into a python tuple is converting the json data to a dict using json.loads() and then conveting it to a python tuple using dict.items().There are several other ways or methods to convert JSON data into tuple, depending on our needs and...
Python provides a built-injsonmodule that makes it easy to convert JSON data to Python objects. Thejson.loads()function is used to load JSON data from a string, and convert it to a corresponding Python object: importjson json_string ='{"name": "John Doe", "age": 30, "is_student":...
示例1: test_json_to_trait ▲点赞 7▼ # 需要导入模块: from convert import Convert [as 别名]# 或者: from convert.Convert importjson_to_trait[as 别名]deftest_json_to_trait(self):self.assertEqual(Convert.json_to_trait(self.jt_1), self.t_1) self.assertNotEqual(Convert.json_to_trait(se...
Python program to convert JSON to an object This example demonstrates converting from JSON to Python object. # Import the json moduleimportjson# Creating a JSON stringstudent='{"id":"101", "std_name": "Alex", "course":"MCA"}'# Printing value and types of 'student'print("student :",...
Aspose.Cells for Python via Java supports converting a Json(JavaScript Object Notation) file to Excel Workbook. Convert JSON to Excel WorkbookNo need to wonder how to convert JSON to Excel file, because Aspose.Cells for Python via Java library has best decision. The Aspose.Cells for Python ...
Convert Pandas DataFrame to XML File Using to_xml Export Pandas DataFrame to Pickle file using to_pickle() function Export Pandas DataFrame to Google BigQuery using to_gbq Export JSON to HTML Table using Pandas in Python Pandas to_html Table Styling Techniques Using CSS and Styler...
def convert_to_json(db_path, json_file_path): connection = sqlite3.connect(db_path) connection.row_factory = dict_factory cursor = connection.cursor() cursor.execute('SELECT name FROM sqlite_master WHERE type = "table"') tables = cursor.fetchall() print('Tables in database are :: ')...
The json.load(file) function creates and returns a new Python dictionary with the key-value pairs in the JSON file. Then, this dictionary is assigned to the data variable, and the result is displayed. You can also check the type of the variable using the built-intype()function of Python...
To convert a JSON string to an XML string, we will first convert the json string to a python dictionary. For this, we will use theloads()method defined in the json module. Theloads()module takes the json string as its input argument and returns the dictionary. ...