Saving a Numpy array as an image
You can use PyPNG. It’s a pure Python (no dependencies) open source PNG encoder/decoder and it supports writing NumPy arrays as images.
You can use PyPNG. It’s a pure Python (no dependencies) open source PNG encoder/decoder and it supports writing NumPy arrays as images.
I found 3 mistakes use Toplevel() instead of Tk() to create second/third window command= expects callback – function name without ()(but you use popupBonusWindow.destroy()) don’t mix pack() and grid() in one window or frame(but you use grid() and pack() in popup) But you can also use built-in messageboxes like showinfo() BTW: I put it on page: Tkinter: How to create popup Window or Messagebox
That happens because you are not installing it globally (system wide). For it to be available in your path you need to install it using sudo, like this:
The easiest way to install PyQt is to just use the installer (Link in your answer, step #5). If you install python 3.3, the installer will add all of the PyQt5 extras to that python installation automatically. You won’t need to do any compiling (none of: nmake, nmake install, python configure). All of the build … Read more
Here’s how you read a file, and then write to it (overwriting any existing data), without closing and reopening:
You will have to import Axes3D to enable the 3d plotting in matplotlib. The official tutorials on 3d plotting can be found here. So the correct imports and code would look like
You need to read the Python Unicode HOWTO. This error is the very first example. Basically, stop using str to convert from unicode to encoded text / bytes. Instead, properly use .encode() to encode the string: or work entirely in unicode.
The individual items that you put into a set can’t be mutable, because if they changed, the effective hash would change and thus the ability to check for inclusion would break down. Instead, you need to put immutable objects into a set – e.g. frozensets. If you change the return statement from your enum method to… …then it … Read more
Faced with the same problem and solved it by using tuples instead of lists:
From version 0.19.0 of Pandas you can use the lines parameter, like so: