Converting JSON and CSV to SQL, and SQL to JSON or CSV in Python

Data comes in various formats, and it’s not uncommon to need to convert between them. In this article, we’ll explore how to seamlessly convert data between JSON, CSV, and SQL formats using Python. Whether you’re a data analyst, engineer, or scientist, these skills are essential for efficiently working with diverse datasets.

Coverting JSON to SQL

1. import pandas and sqlite3
2. load data files
3. create sqlite database
4. store data in sql

import pandas as pd
import sqlite3

data = pd.read_json('file.json')
cn = sqlite3.connect(data.db)
data.to_sql('datatable', cn, if_exists='replace', index=False)

Coverting CSV to SQL

1. import pandas and sqlite3
2. load data files
3. create sqlite database
4. store data in sql

import pandas as pd
import sqlite3

data = pd.read_csv('file.csv')
cn = sqlite3.connect(data.db)
data.to_sql('datatable', cn, if_exists='replace', index=False)

Coverting SQL to JSON

1. import pandas and sqlite3
2. load data files
3. create sqlite database
4. store data in sql

import pandas as pd
import sqlite3

data = pd.read_json('file.json')
cn = sqlite3.connect(data.db)
data.to_sql('datatable', cn, if_exists='replace', index=False)

Coverting JSON to SQL

1. import pandas and sqlite3
2. load data files
3. create sqlite database
4. store data in sql

import pandas as pd
import sqlite3

data = pd.read_json('file.json')
cn = sqlite3.connect(data.db)
data.to_sql('datatable', cn, if_exists='replace', index=False)