Store and reload matplotlib.pyplot object
A small modification to Pelson's answer for people working on a Jupyterhub
Use %matplotlib notebook
before loading the pickle. Using %matplotlib inline
did not work for me in either jupyterhub or jupyter notebook. and gives a traceback ending in
AttributeError: 'module' object has no attribute 'new_figure_manager_given_figure'.
import matplotlib.pyplot as plt
import numpy as np
import pickle
%matplotlib notebook
ax = plt.subplot(111)
x = np.linspace(0, 10)
y = np.exp(x)
plt.plot(x, y)
with open('myplot.pkl','wb') as fid:
pickle.dump(ax, fid)
Then in a separate session:
import matplotlib.pyplot as plt
import pickle
%matplotlib notebook
with open('myplot.pkl','rb') as fid:
ax = pickle.load(fid)
plt.show()
As of 1.2 matplotlib ships with experimental pickling support. If you come across any issues with it, please let us know on the mpl mailing list or by opening an issue on github.com/matplotlib/matplotlib
HTH
EDIT: Added a simple example
import matplotlib.pyplot as plt
import numpy as np
import pickle
ax = plt.subplot(111)
x = np.linspace(0, 10)
y = np.exp(x)
plt.plot(x, y)
pickle.dump(ax, file('myplot.pickle', 'w'))
Then in a separate session:
import matplotlib.pyplot as plt
import pickle
ax = pickle.load(file('myplot.pickle'))
plt.show()