I see that Pandas has read_fwf, but does it have something like DataFrame.to_fwf? I’m looking for support for field width, numerical precision, and string justification. It seems that DataFrame.to_csv doesn’t do this. numpy.savetxt does, but I wouldn’t want to do:
To make my code more “pythonic” and faster, I use “multiprocessing” and a map function to send it a) the function and b) the range of iterations.
Dataframe.resample() works only with timeseries data. I cannot find a way of getting every nth row from non-timeseries data. What is the best method?
I’m having issues with scrolling to the top of the web page when using Python and Selenium.
I’ve been playing around with Matplotlib and I can’t figure out how to change the background colour of the graph, or how to make the background completely transparent.
I need to find the quickest way to sort each row in a dataframe with millions of rows and around a hundred columns.
I see lot of examples of generator functions, but I want to know how to write generators for classes. Lets say, I wanted to write Fibonacci series as a class.
I want to call an external program from Python. I have used both Popen() and call() to do that.
In my project I’m handling all HTTP requests with python requests library.
Does anyone know how I would go about detected what bit version Windows is under Python. I need to know this as a way of using the right folder for Program Files.