I have a .mat file in which I put data previously processed. When I perform
dict = scipy.io.loadmat('training_data.mat')
I get back a dict that is like this
{'encoders' : ......, 'decoders' : ....开发者_运维技巧...., 'stuff' : .....}
I want to selectively import the encoders and decoders variables into my current scope. The effect is the same as:
encoders = dict['encoders']
decoders = dict['decoders']
How do I cleanly do this without typing 10-15 lines?
You could import a dictionary d
into the global scope using
globals().update(d)
The same thing is impossible for local scopes, since modifying the dictionary returned by locals()
results in undefined behaviour.
A slightly hacky trick you could use in this situation is to import the names into the dictionary of an on-the-fly created type:
d = {"encoders": 1, "decoders": 2}
t = type("", (), d)
print t.encoders
print t.decoders
This will at least be slightly more convenient than using d["decoders"]
etc.
Alternatively, you could use exec
statements to create your variables:
d = {"encoders": 1, "decoders": 2}
for k, v in d.iteritems():
exec k + " = v"
This could also be done selectively.
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