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Python 3 Data Visualization Using ChatGPT / GPT-4

You're reading from   Python 3 Data Visualization Using ChatGPT / GPT-4 Master Python Visualization Techniques with AI Integration

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Product type Paperback
Published in Aug 2024
Publisher Mercury_Learning
ISBN-13 9781836649250
Length 314 pages
Edition 1st Edition
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Authors (2):
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Mercury Learning and Information Mercury Learning and Information
Author Profile Icon Mercury Learning and Information
Mercury Learning and Information
Oswald Campesato Oswald Campesato
Author Profile Icon Oswald Campesato
Oswald Campesato
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Table of Contents (10) Chapters Close

Preface
1. Chapter 1: Introduction to Python 2. Chapter 2: Introduction to NumPy FREE CHAPTER 3. Chapter 3: Pandas and Data Visualization 4. Chapter 4: Pandas and SQL 5. Chapter 5: Matplotlib and Visualization 6. Chapter 6: Seaborn for Data Visualization 7. Chapter 7: ChatGPT and GPT-4 8. Chapter 8: ChatGPT and Data Visualization 9. Index

MYSQL AND CONNECTOR/PYTHON

MySQL provides a connector/Python API as another mechanism for connecting to a MySQL database. This section contains some simple Python code samples that rely on connector/Python to connect to a database and retrieve rows from a database table.

Before delving into the code samples, keep in mind that MySQL 8 uses mysql_native_password instead of caching_sha2_password. As a result, you need to specify a value for auth_plugin (which is not specified in various online code samples). Here is the error message:

mysql.connector.errors.NotSupportedError: Authentication
plugin 'caching_sha2_password' is not supported

The solution is highlighted in the Python code sample in the next section.

Establishing a Database Connection

Listing 4.10 displays the contents of mysql_conn1.py that illustrates how to establish a connector/Python database connection.

LISTING 4.10: mysql_conn1.py

import mysql.connector

cnx = mysql.connector.connect(user='root&apos...
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