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20 lip 2010 · import json import psycopg2 def db(database_name='pepe'): return psycopg2.connect(database=database_name) def query_db(query, args=(), one=False): cur = db().cursor() cur.execute(query, args) r = [dict((cur.description[i][0], value) \ for i, value in enumerate(row)) for row in cur.fetchall()] cur.connection.close() return (r[0] if r else None ...
10 sty 2012 · You could use regex to determine whether or not you want to convert a certain field to datetime like so: def date_hook(json_dict): for (key, value) in json_dict.items(): if type(value) is str and re.match('^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d*$', value): json_dict[key] = datetime.datetime.strptime(value, "%Y-%m-%dT%H:%M:%S.%f") elif type ...
4 lis 2022 · Migrate Key-Value Pairs from Python Dictionary to SQL Server via JSON; This article has four resource files in its download: A JSON file in simple JSON format; A second JSON file in nested JSON format; A Python script file to load and display the first JSON file; A second Python script file to load and display the second JSON file
Run SQL on JSON files. In this tutorial, we’ll show you how to query JSON with JupySQL and DuckDB. First, let’s install the required dependencies: %pip install jupysql duckdb duckdb-engine rich --quiet. Show code cell outputHide code cell output.
12 maj 2024 · Reading JSON Files in Python. I have some data in the SQL Saturday repo in JSON format. This is schedule information, which is exported from Sessionize. I also have XML data, but I...
8 sty 2020 · In this tutorial we will see how to convert JSON – Javascript Object Notation to SQL data format such as sqlite or db. We will be using Pandas for this. Installation. pip install pandas sqlalchemy.
30 mar 2021 · As you can see in the figure above, the read_json() method in Pandas reads the JSON from the string or a file and then converts it into a Pandas dataframe. This method also accepts several other parameters of which I will be discussing the most important ones in the following section.
