I am trying to use IPython notebook on MacOS X with Python 2.7.2 and IPython 1.1.0.
I cannot get matplotlib graphics to show up inline.
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
I have also tried %pylab inline
and the ipython command line arguments --pylab=inline
but this makes no difference.
x = np.linspace(0, 3*np.pi, 500)
plt.plot(x, np.sin(x**2))
plt.title('A simple chirp')
plt.show()
Instead of inline graphics, I get this:
<matplotlib.figure.Figure at 0x110b9c450>
And matplotlib.get_backend()
shows that I have the 'module://IPython.kernel.zmq.pylab.backend_inline'
backend.
This question is related to
python
matplotlib
jupyter-notebook
ipython
data-visualization
You can simulate this problem with a syntax mistake, however, %matplotlib inline
won't resolve the issue.
First an example of the right way to create a plot. Everything works as expected with the imports and magic that eNord9 supplied.
df_randNumbers1 = pd.DataFrame(np.random.randint(0,100,size=(100, 6)), columns=list('ABCDEF'))
df_randNumbers1.ix[:,["A","B"]].plot.kde()
However, by leaving the ()
off the end of the plot type you receive a somewhat ambiguous non-error.
Erronious code:
df_randNumbers1.ix[:,["A","B"]].plot.kde
Example error:
<bound method FramePlotMethods.kde of <pandas.tools.plotting.FramePlotMethods object at 0x000001DDAF029588>>
Other than this one line message, there is no stack trace or other obvious reason to think you made a syntax error. The plot doesn't print.
I have to agree with foobarbecue (I don't have enough recs to be able to simply insert a comment under his post):
It's now recommended that python notebook isn't started wit the argument --pylab
, and according to Fernando Perez (creator of ipythonnb) %matplotlib inline
should be the initial notebook command.
I did the anaconda install but matplotlib is not plotting
It starts plotting when i did this
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
Use the %pylab inline
magic command.
If your matplotlib version is above 1.4, it is also possible to use
IPython 3.x and above
%matplotlib notebook
import matplotlib.pyplot as plt
older versions
%matplotlib nbagg
import matplotlib.pyplot as plt
Both will activate the nbagg backend, which enables interactivity.
To make matplotlib inline by default in Jupyter (IPython 3):
Edit file ~/.ipython/profile_default/ipython_config.py
Add line c.InteractiveShellApp.matplotlib = 'inline'
Please note that adding this line to ipython_notebook_config.py
would not work.
Otherwise it works well with Jupyter and IPython 3.1.0
I found a workaround that is quite satisfactory. I installed Anaconda Python and this now works out of the box for me.
I had the same problem when I was running the plotting commands in separate cells in Jupyter:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
<Figure size 432x288 with 0 Axes> #this might be the problem
In [4]: ax = fig.add_subplot(1, 1, 1)
In [5]: ax.scatter(x, y)
Out[5]: <matplotlib.collections.PathCollection at 0x12341234> # CAN'T SEE ANY PLOT :(
In [6]: plt.show() # STILL CAN'T SEE IT :(
The problem was solved by merging the plotting commands into a single cell:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.scatter(x, y)
Out[3]: <matplotlib.collections.PathCollection at 0x12341234>
# AND HERE APPEARS THE PLOT AS DESIRED :)
Source: Stackoverflow.com