How to use Python and Pandas to join historical weather data to road accident data

I am currently investigating the relationship between weather conditions and accidents by using a dataset of road accidents in Fairfax County, Virginia obtained from the Virginia Department of Motor Vehicles. The first step to perform the analysis is to combine the accident data with the historical weather conditions. In this article, we will discuss how …

Weather API Changelog

This article describes the major features added, and any change made, to the Timeline Weather API. None of the changes in this article break backwards compatibility. For full details of the Timeline Weather API, please see the API documentation. 2024 – Q1 Expanded historical data for the Advanced solar elements and wind elements back to …

Timeline Weather API

The Timeline Weather API is the simplest and most powerful way to retrieve weather data. You can request data over any time window including windows that span the past, present, and future. The API will take care of the combining historical observations, current 15-day forecasts, and statistical weather forecasts to create a single, consolidated dataset …

How to load weather data using Google’s Go language

Google Go, also referred to as Golang, is an open-source programming language developed by Google.  Launched in 2009, Go was designed with a focus on simplicity, efficiency, and readability.  It especially excels in building networked and distributed systems and is particularly known for its fast compilation speed.  With a growing community and support from major …

Using the Timeline Weather API with multiple locations in the same request

The Timeline Weather API permits a single location for each API request. In some situations, it is convenient to submit multiple locations in the same request rather than as separate API calls. This article describes how to use the Multiple Timeline Weather API endpoint to request weather data for multiple locations in the same call. …