Python : save dictionaries through numpy.save [duplicate]
It's a structured array. Use d2.item() to retrieve the actual dict object first:
import numpy as npd1={'key1':[5,10], 'key2':[50,100]}np.save("d1.npy", d1)d2=np.load("d1.npy")print d1.get('key1')print d2.item().get('key2')result:
[5, 10][50, 100]
pickle module can be used. Example code:
from six.moves import cPickle as pickle #for performancefrom __future__ import print_functionimport numpy as npdef save_dict(di_, filename_): with open(filename_, 'wb') as f: pickle.dump(di_, f)def load_dict(filename_): with open(filename_, 'rb') as f: ret_di = pickle.load(f) return ret_diif __name__ == '__main__': g_data = { 'm':np.random.rand(4,4), 'n':np.random.rand(2,2,2) } save_dict(g_data, './data.pkl') g_data2 = load_dict('./data.pkl') print(g_data['m'] == g_data2['m']) print(g_data['n'] == g_data2['n'])You may also save multiple python objects in a single pickled file. Each pickle.load call will load a single object in that case.