![]() If it’s on the Web, it’s up for grabs.The new Weather Underground Android app provides the world's most accurate hyper-local weather forecasts in addition to interactive radar, satellite maps and severe weather alerts. ![]() Just because data isn’t in CSV format, doesn’t mean it’s unavailable. Keep in mind, this was really just a proof of concept, and the script can be modified quite a bit to fit your needs. The script goes through each day of the year from 1980 through 2007, parses the corresponding WU page, and stores the temperature data in wunder-data.txt, and there you go. # Write timestamp and temperature to fileį.write(timestamp + ',' + dayTemp + '\n') # Create/open a file called wunder.txt (which will be a comma-delimited file) I’m not going to get into all of the details, but here’s the Python script I used to grab mean temperature from WU using BeautifulSoup. I could go to every single page manually and record the temperature in Excel, but why do that when I can make the computer do it for me? I just want the actual mean temperature in Fahrenheit for the past five years or so. Like I said, there’s historical data in HTML tables like this. Um, parse… what does that mean? Basically, the Python script will go through, or look at, a document extracting certain information from that document.īack to WU. That solution is BeautifulSoup, an XML/HTML parser written in Python. ![]() I say most because you can download hourly data from a single day in CSV, but if you want say, temperature data over the past 5 years, you’re kind of at a loss.īut wait, there’s a solution. One problem: most of the data is in HTML tables instead of the CSV format that we like. WU has a bunch of weather data (current and historical) from established weather stations, like at airports, and home stations setup by hobbyists. Weather Underground is a useful site and a fun place for weather enthusiasts. ![]()
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