Hi,
i just started my new account here to learn how to make nice data vizualizations.
My first lines in the ipython console were:
from pylab import *
plot(2,2)
I got an error for matplotlib
<matplotlib.lines.2D at 0x072....>
Why I got this error? Should I make a SSH connection and forward the website (free account) to my computer seing the plots?
Thank you in advance, Ela
[edited by admin: formatting]
I've found it here: https://www.pythonanywhere.com/wiki/MatplotLibGraphs
But I do not like to save the picture and then call the picture. There exist some ipython directive I guess. I think, in the new jupyter version the matplot inline is also possible.
Is there a way in the nearest future to plot it in the console directly?
Hi there,
You won't be able to display graphics in the console, no. However, we are working on supporting ipython notebooks (ie. using jupyter hub). We cannot confirm the date this will be released yet though.
Hi,
sounds promising. Thanks for the information. I'll keep in touch with your site.
Once ipython notebooks are functional, you'll be able to have inline graphics.
Hi, I just wanted to find out if inline graphics are now possible?
They have always been possible in IPython notebooks.
hi Glenn, any news about this topic? I'm still not able to display pictures directly from the iPython reader with "plt.show()" :(
can you send us a screenshot of the error?
there is no error Harry, there is just no picture with the plt.show() function. I can see it with the save function but it would have been even better if I could see it directly in the Jupyter viewer..
OK, can you instead share some example code so I can try and reproduce the error?
Here it is:
conrad
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PythonAnywhere staff
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mattspence
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plt.clf()
plt.ylim( -3, 3)
plt.plot(t_instance[1:], time_series(t_instance[1:]), "b-", markersize=10, label="val A")
plt.plot(t_instance[1:], y[0,:,0], "g-", markersize=10, label="val B")
plt.legend(loc="upper left")
plt.xlabel("Time")
save_fig("plot" + project_title + str(iteration))
plt.show()
I'm going to need some actual data to put into those t_instance and time_series variables?
it doesn't work with any plot, for instance:
plt.plot([1,2,3,4], [1,4,9,16], 'ro')
plt.axis([0, 6, 0, 20])
plt.show()
To be clear - are you doing this in a notebook, or a console?
I'm doing it from the Pythonanywhere's Notebook.
I doesn't work also from a iPython console.
same is happening to me. Even if I use the %matplotlib magic in the Ipython Notebook.
what happens if you run
%pylab inline
before you do the plt.show()
it works :) thanks!
:-D
This isn't working for me:
mport matplotlib.pyplot as plt
%pylab inLine
plt.plot([1,2,3,4], [1,4,9,16], 'ro')
plt.axis([0, 6, 0, 20])
plt.show()
Yields:
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-28-119c5663f90a> in <module>()
1 import matplotlib.pyplot as plt
----> 2 get_ipython().magic('pylab inLine')
3
4 plt.plot([1,2,3,4], [1,4,9,16], 'ro')
5
/usr/local/lib/python3.5/dist-packages/IPython/core/interactiveshell.py in magic(self, arg_s)
2161 magic_name, _, magic_arg_s = arg_s.partition(' ')
2162 magic_name = magic_name.lstrip(prefilter.ESC_MAGIC)
-> 2163 return self.run_line_magic(magic_name, magic_arg_s)
2164
2165 #-------------------------------------------------------------------------
/usr/local/lib/python3.5/dist-packages/IPython/core/interactiveshell.py in run_line_magic(self, magic_name, line)
2082 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
2083 with self.builtin_trap:
-> 2084 result = fn(*args,**kwargs)
2085 return result
2086
<decorator-gen-107> in pylab(self, line)
/usr/local/lib/python3.5/dist-packages/IPython/core/magic.py in <lambda>(f, *a, **k)
191 # but it's overkill for just that one bit of state.
192 def magic_deco(arg):
--> 193 call = lambda f, *a, **k: f(*a, **k)
194
195 if callable(arg):
/usr/local/lib/python3.5/dist-packages/IPython/core/magics/pylab.py in pylab(self, line)
154 import_all = not args.no_import_all
155
--> 156 gui, backend, clobbered = self.shell.enable_pylab(args.gui, import_all=import_all)
157 self._show_matplotlib_backend(args.gui, backend)
158 print ("Populating the interactive namespace from numpy and matplotlib")
/usr/local/lib/python3.5/dist-packages/IPython/core/interactiveshell.py in enable_pylab(self, gui, import_all, welcome_message)
2988 from IPython.core.pylabtools import import_pylab
2989
-> 2990 gui, backend = self.enable_matplotlib(gui)
2991
2992 # We want to prevent the loading of pylab to pollute the user's
/usr/local/lib/python3.5/dist-packages/IPython/core/interactiveshell.py in enable_matplotlib(self, gui)
2937 """
2938 from IPython.core import pylabtools as pt
-> 2939 gui, backend = pt.find_gui_and_backend(gui, self.pylab_gui_select)
2940
2941 if gui != 'inline':
/usr/local/lib/python3.5/dist-packages/IPython/core/pylabtools.py in find_gui_and_backend(gui, gui_select)
260 if gui and gui != 'auto':
261 # select backend based on requested gui
--> 262 backend = backends[gui]
263 else:
264 # We need to read the backend from the original data structure, *not*
KeyError: 'inLine'
Ok, I got the following to work:
%matplotlib inline
import matplotlib.pyplot as plt
plt.plot([1,2,3,4], [1,4,9,16], 'ro')
plt.axis([0, 6, 0, 20])
plt.show()
right- you tweaked the ordering so that the plt import is after the %inline line right?
