Convert HTML entities to Unicode and vice versa
How do you convert HTML entities to Unicode and vice versa in Python?
How do you convert HTML entities to Unicode and vice versa in Python?
This question was asked four years ago, but the answer is now out of date for BS4.
How to find text I am looking for in the following HTML (line breaks marked with n)?
I found HTMLParser for SAX and xml.minidom for XML. I have a pretty well formed HTML so I don’t need a too strong parser – any suggestions?
I’m still relatively new to Flask, and a bit of a web noob in general, but I’ve had some good results so far. Right now I’ve got a form in which users enter a query, which is given to a function that can take anywhere between 5 and 30 seconds to return a result (looking up data with the Freebase API).
I am using matplotlib to render some figure in a web app. I’ve used fig.savefig() before when I’m just running scripts. However, I need a function to return an actual “.png” image so that I can call it with my HTML.
I am trying to scrap the historical weather data from the “https://www.wunderground.com/personal-weather-station/dashboard?ID=KMAHADLE7#history/tdata/s20170201/e20170201/mcustom.html” weather underground page. I have the following code:
My code successfully scrapes the tr align=center tags from [ http://my.gwu.edu/mod/pws/courses.cfm?campId=1&termId=201501&subjId=ACCY ] and writes the td elements to a text file.
I have inherited some Python code which is used to create huge tables (of up to 19 columns wide by 5000 rows). It took nine seconds for the table to be drawn on the screen. I noticed that each row was added using this code:
I want to retrieve whatever is between these two tags – <tr> </tr> – from an html doc.
Now I don’t have any specific html requirements that would warrant for an html parser. I just plain need something that matches <tr> and </tr> and gets everything in between and there could be multiple trs.
I tried awk, which works, but for some reason it ends up giving me duplicates of each row extracted.