Apr 13, 2015 · One easy way to generate a result report is using the pytest option --junitxml when running tests. pytest will generate a test report in JUnit format. Since JUnit is widely used, it's easy to find tools to parse the report and generate some good looking output, like HTML reports.

Jul 23, 2021 · This is a comprehensive guide to Python reporting. Learn how to generate HTML, Excel, PDF reports automatically with Python tools.

Jun 3, 2020 · It’s incredibly easy to create Pandas DataFrames with data from databases, Excel and csv files or json responses from a web API. Once you have the raw data in a DataFrame, it only requires a few lines of code to clean the data and slice & …

Nov 26, 2020 · Fortunately, Python provides a class, which can help us: string.Template. In this article, you will learn how to utilize this class to generate output files based on data you …

Aug 26, 2024 · Learn how to efficiently build custom reports using Python and libraries like pandas, matplotlib, and seaborn. Automate the process and take your reporting to the next level with Explo's Report Builder.

Sep 20, 2024 · Creating a Python script for automated report generation and distribution can significantly streamline your workflow. By following the steps outlined above, you can gather data, generate reports, visualize information, and send it out via email—all with just a few lines of code.

Jul 10, 2021 · For your own case you would write the SQL code and connection to whereever your local crime data is store. Here is an example of how you can use string substitution in python to create a query that is date aware for when the code is run:

Dec 1, 2022 · In this article, we’ll look at how to generate pytest coverage reports, including a real example using a Simple Banking App. We’ll use deterministic data for now but in another article, I’ll show you how to achieve high code coverage using sample data-testing libraries like Hypothesis and Faker. Coverage Reports — What Are They?

Merkury is a command line utility to run Python scripts and render static HTML or Markdown reports with code and produced output. It uses standard .py files as input - any valid script that can be run from command line, can also be turned into a report.

Master Python string case conversion techniques, explore advanced manipulation methods, and learn efficient ways to transform text cases in your programming projects.