It pops up the plot in a separate window: $ ipython3 The following shows how the numpy and matplotlib functions can be used directly. iPython is the kernel used in Jupyter Notebook, or it can be run standalone. iPython has a shortcut for that, anyway: %pylabĪlthough iPython does actually allow you to enter Python block structures interactively, I wouldn't use it for that I think it's at its best where it's possible to do a quick test with single-line entries. When you plot from a python script, you do.Generally, you'd only do that at the iPython interactive console if you wanted to do an immediate test rather than create a Python script. When you plot in an ipython pylab session, you don't need to explicitly invoke pyplot. This is much more robust, and since you are not constantly typing and retyping as you would do at the prompt, the extra typing is well worth it. In contrast, in a python module, you must explicitly import every name which you use. (There are probably names already defined that you don't even know are there and might be using for some other purpose.) This provides almost 1000 names directly to the ipython shell, which is very convenient, but has great potential for "namespace pollution", i.e. When IPython is started in pylab mode, as in Canopy, then it starts with many imports already done behind the scenes: import numpyįrom matplotlib import pylab, mlab, pyplotįrom import figsize, getfigs py file), you must always explicitly import all outside names that you wish to use in that module.īy default, Canopy's IPython prompt runs in "Pylab" mode (this can be changed in Canopy's Preferences menu, in the "Python" tab.) The solution is to understand that in each python module (e.g. Then you copy the exact same commands to a python file, and run the file, and you get errors like "No module named." or "name.You type some commands at the Canopy Python prompt, and they work great.IPython newcomers may be confused by the following scenario.
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