When trying to plot a graph on jupyter with pyplot I am running the following code:
import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.ylabel('some numbers')
plt.show()
This is returning the following error:
AttributeError Traceback (most recent call last)
<ipython-input-16-51b004b519a9> in <module>()
----> 1 get_ipython().run_line_magic('matplotlib', 'inline')
2
3
4 import matplotlib.pyplot as plt
5 plt.plot([1,2,3,4])
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\IPython\core\interactiveshell.py in run_line_magic(self, magic_name, line, _stack_depth)
2129 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
2130 with self.builtin_trap:
-> 2131 result = fn(*args,**kwargs)
2132 return result
2133
<decorator-gen-108> in matplotlib(self, line)
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\IPython\core\magic.py in <lambda>(f, *a, **k)
185 # but it's overkill for just that one bit of state.
186 def magic_deco(arg):
--> 187 call = lambda f, *a, **k: f(*a, **k)
188
189 if callable(arg):
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\IPython\core\magics\pylab.py in matplotlib(self, line)
97 print("Available matplotlib backends: %s" % backends_list)
98 else:
---> 99 gui, backend = self.shell.enable_matplotlib(args.gui)
100 self._show_matplotlib_backend(args.gui, backend)
101
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\IPython\core\interactiveshell.py in enable_matplotlib(self, gui)
3049 gui, backend = pt.find_gui_and_backend(self.pylab_gui_select)
3050
-> 3051 pt.activate_matplotlib(backend)
3052 pt.configure_inline_support(self, backend)
3053
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\IPython\core\pylabtools.py in activate_matplotlib(backend)
308 matplotlib.rcParams['backend'] = backend
309
--> 310 import matplotlib.pyplot
311 matplotlib.pyplot.switch_backend(backend)
312
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\matplotlib\pyplot.py in <module>()
30 from cycler import cycler
31 import matplotlib
---> 32 import matplotlib.colorbar
33 import matplotlib.image
34 from matplotlib import rcsetup, style
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\matplotlib\colorbar.py in <module>()
28 import matplotlib.artist as martist
29 import matplotlib.cbook as cbook
---> 30 import matplotlib.collections as collections
31 import matplotlib.colors as colors
32 import matplotlib.contour as contour
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\matplotlib\collections.py in <module>()
17
18 import matplotlib as mpl
---> 19 from . import (_path, artist, cbook, cm, colors as mcolors, docstring,
20 lines as mlines, path as mpath, transforms)
21
c:\program files (x86)\microsoft visual studio\shared\python36_64\lib\site-packages\matplotlib\lines.py in <module>()
206
207
--> 208 @cbook._define_aliases({
209 "antialiased": ["aa"],
210 "color": ["c"],
AttributeError: module 'matplotlib.cbook' has no attribute '_define_aliases'
My matplotlib has always worked fine without the jupyter. I have tried a complete reinstall of matplotlib, jupyter and python again since but still getting the same error. Maybe someone had the same problem?
I had this exact error .The problem was that 2 packages of matplotlib was installed one by conda and one by pip
To test for this:
$ conda list matplotlib
matplotlib 2.0.2 np113py35_0 matplotlib 2.1.1
Problem! Fix:
$ pip uninstall matplotlib
Probably a good idea to force matplotlib upgrade to the version pip wanted:
$ conda install matplotlib=2.1.1
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