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
Q: The course shows how to download files from FTP and web servers using Python 3.X. How do I do the same thing with Python 2.7?
A: First import urllib, then use urllib.urlretrieve(URL,filename). For instance, to download the stations.txt files used in the chapter 5 video “Downloading and parsing data files,” you’d do urllib.urlretrieve(‘ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/daily/ghcnd-stations.txt','stations.txt').
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
Next steps1m 36s
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.