Join Michele Vallisneri for an in-depth discussion in this video Weather data overview, part of Introduction to Data Analysis with Python.
In this chapter, we are going to do some…practical experiments with NumPy,…the very important Python package that has many…functions to manage data in array form…and that provides a foundation for many other…more specialized Python packages and tools.…We'll experiment with historical weather data…going back 50 years and sometimes more.…We are going to do a lot.…We are going to load station and temperature data…from publicly available text files from…the National Oceanic and Atmosphere Administration.…
We're going to plot temperature data.…And we realize to do so effectively,…you first need to integrate missing data…and to smooth them.…We will compute the daily records at the given location…and, finally, for your challenge,…I will ask you to compare the warmest year…of a cold location with the coldest year of a warm one.…
- Writing and running Python in iPython
- Using Python lists and dictionaries
- Creating NumPy arrays
- Indexing and slicing in NumPy
- Downloading and parsing data files into NumPy and Pandas
- Using multilevel series in Pandas
- Aggregating data in Pandas
Skill Level Intermediate
1. Installation and Setup
2. Refresher: Data Containers in Python
3. Word Anagrams in Python
4. Introduction to NumPy
5. Weather Data with NumPy
6. Introduction to Pandas
7. Baby Names with Pandas
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