Plot inside Ipython Notebook - python

I'm using IPython notebooks to share code and (hopefully) graphics with m collaborators. sadly, I cannot get matplotlib to plot inside the notebook, it always gives me a pop-up window, which I obviously cannot include in notebook pastes or similar.
Here's two minimal examples of how I go about plotting things.
Either with invoking plt.show() , or without it.
this either gives me an external pop-up, or plots nothing.

You need to be using the matplotlib inline backend.
%matplotlib inline

Related

Jupyter shows plot without plt.show()

I am using the Jupyter notebook with Python 2.7. Importing matplotlib like this:
%matplotlib inline
import matplotlib.pyplot as plt
But I have observed one thing. When I use Python in Spyder I always have to use the plt.show() command at the end of the python script in order to see the plots.
In Jupyter I do not need this command in order to see a plot. I do get this error message:
[<matplotlib.lines.Line2D at 0x91615d0>]
but it still makes a plot. Why is that?
You turn on the immediate display with %matplotlib inline.
The line:
[<matplotlib.lines.Line2D at 0x91615d0>]
is no error message. It is the return value of the last command. Try adding a ; at the end of the last line to suppress this.
The requirement of adding %matplotlin inline is no longer needed in the latest jupyter notebooks. It's a by default addition now.
You can change settings in ipython_kernel_config.py for different behaviour

matplotlib plotting with python in xcode

I am trying to run python in XCode. The following simple plotting routine,
import matplotlib.pyplot as pyplot
pyplot.plot((0,1),(1,2))
pyplot.show()
returns no errors. XCode seems pretty happy with what it accomplishes when I hit the run button. But I get no plot window whatsoever, as far as I can tell. Is it hiding somewhere or what? How do I get to see it?
xcode will allow you to see plots if you move your code into an interactive notebook.
create a new file with the .ipynb file extension
copy your code into that file
You should be able not only to see the plots but also any other output your code is trying to send to the UI.

Plot plotted inside the ipython console

I am working in python and using Anaconda with Spyder and I need to plot a scatter plot in a part of the code I am working on. The plot is just fine but is drawn in the console itself and the size is quite small for my needs.
My question is, how can I plot it in another window outside the ipython console? I already tried changing some of the setting like changing Graphics setting in ipython from inline to QT to tkinter. Nothing seems to work.
Any helpful suggestions?
you can just save %matplotlib qt in a .py file and you can start ipython using:
ipython -i myfile.py

Plot inline or a separate window using Matplotlib in Spyder IDE

When I use Matplotlib to plot some graphs, it is usually fine for the default inline drawing. However, when I draw some 3D graphs, I'd like to have them in a separate window so that interactions like rotation can be enabled. Can I configure in Python code which figure to display inline and which one to display in a new window?
I know that in Spyder, click Tools, Preferences, Ipython Console, Graphics and under Graphics Backend select “automatic” instead of “inline”. However, this make all the figures to be in new windows. It can be messy when I have a lot of plots. So I want only those 3D plot to be in new windows, but all the other 2D plots remain inline. Is it possible at all?
Thanks!
type
%matplotlib qt
when you want graphs in a separate window and
%matplotlib inline
when you want an inline plot
Go to
Tools >> Preferences >> IPython console >> Graphics >> Backend:Inline, change "Inline" to "Automatic", click "OK"
Reset the kernel at the console, and the plot will appear in a separate window
Magic commands such as
%matplotlib qt
work in the iPython console and Notebook, but do not work within a script.
In that case, after importing:
from IPython import get_ipython
use:
get_ipython().run_line_magic('matplotlib', 'inline')
for inline plotting of the following code, and
get_ipython().run_line_magic('matplotlib', 'qt')
for plotting in an external window.
Edit: solution above does not always work, depending on your OS/Spyder version
Anaconda issue on GitHub. Setting the Graphics Backend to Automatic (as indicated in another answer: Tools >> Preferences >> IPython console >> Graphics --> Automatic) solves the problem for me.
Then, after a Console restart, one can switch between Inline and External plot windows using the get_ipython() command, without having to restart the console.
I have set the IPython console backend set to Automatic in the Spyder preferences.
In my scripts, I can now use switch_backend as either
plt.switch_backend('module://ipykernel.pylab.backend_inline') or plt.switch_backend('Qt5Agg') before each new plot, to make it either inline or separate/interactive.
(Tested with Spyder 4.2.2.)
If you want to look at just 1 or 2 charts you can also try manually undocking them in the plot window. So on the top right corner window
select the 'plots' tab
click the button with 3 horizontal bars
select 'undock'
It'll open the plot in a new window. When you close the window, it docks back.

use ipython %matplotlib inline inside python script

I'm writing plot functions in python scripts and using ipython to show them. I want to show the figures inside the page ,so that I used
%matplotlib inline
After that I can show the figures inside.
Is there a way to put this line inside the plot.py script so in ipython I just import the .py without specifying the %matplot code?
Thanks.
You should only have to run %matplotlib inline once per IPython session. All it does it tell matplotlib to plot graphs inline, as opposed to in a separate window.
Running it more than once (say once per script) seems pointless as it won't actually do anything. You could just run it at the top of your session and then not worry about it, your plots will still plot and you can still have plotting functions inside the Python files.
That aside, adding it inside a script is just not possible. It just returns a SyntaxError because you effectively run it as a Python script, not in the IPython terminal where it's set up to handle the magic methods.

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