From the course: Python Data Analysis
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Overview: Analyzing weather - Python Tutorial
From the course: Python Data Analysis
Overview: Analyzing weather
- [Instructor] In this chapter, we are going to experiment with NumPy on a real world use case, analyzing weather data from NOAA, the National Oceanic and Atmosphere Administration. The GHCN Daily is an integrated database of daily climate summaries from land surface stations across the globe. Summaries in this case means variables, such as the minimum and maximum temperatures, the total precipitation, and so on. Digging through the portal, we find the location of the data files. From here, we will download the station list and use it to locate data for a station. We will load data, fill missing values, and smooth time series. Finally, we will create a visualization of daily temperatures inspired by the "New York Times" weather plots.
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