
- #Pyqt4 matplotlib annotate update#
- #Pyqt4 matplotlib annotate manual#
- #Pyqt4 matplotlib annotate code#
without colours), and splits on newlines. Is equivalent to the above system command example (the %sx magic runs a shell commandĪnd captures the output). Similarly, the result of a magic (as long as it returnsĪ value) can be assigned to a variable. You can assign the result of a system command to a Python variable with the
#Pyqt4 matplotlib annotate manual#
Manual capture of command output and magic output ¶ For example, after doing import os, you can use %pfile, %pdef, %psource) work on object attributes, as well asĭirectly on variables. The dynamic object information functions (?/?, %pdoc, Identifiers and %whos prints a table with some basic details about You have defined interactively (not things you loaded or defined

%pdoc : Print (or run through a pager if too long) theĭocstring for an object.The API documentation for the module contains the fullĭocstrings of all currently available magic commands. Information on the ‘?’ system) to get information about any particular magic Type %magic for more information, including a list of all available magicįunctions at any time and their docstrings. L = %sx ls (which in this particular case returns the result of ls as a python list). Line magics, if they return a value, can be assigned to a variable using the syntax home/fperez In : del cd # if you remove the cd variable, automagic works again In : cd ipython /home/fperez/ipython # and doesn't work as a function anymore File "", line 1 cd.

In : cd ipython # %cd is called by automagic /home/fperez/ipython In : cd = 1 # now cd is just a variable In : cd.
#Pyqt4 matplotlib annotate code#
#Pyqt4 matplotlib annotate update#
Running the script creates an application all fine and dandy: īut upon pressing return after editing, the plot doesn't update (or, at least it isn't shown). Right now I can update parameters just fine, but when I try to update the plot I need to actually drag the axes around for the updates to show.Īn example can be seen here on this gist.


To do this I use matplotlib and numpy to handle plotting and numericals, and PyQt5 for creating the user interface where parameters can be specified. I'm trying to create an application which plots some things (a function, say), where I want the user to be able to specify some parameter.
