There is one thing, that I do not understand.
Why does this
import scipy # happens with several other modules, too. I took scipy as an example now...
matrix = scipy.sparse.coo_matrix(some_params)
produce this error:
AttributeError: 'module' object has no attribute 'sparse'
Because you imported scipy, not sparse. Try
from scipy import sparse
?AttributeError is raised when attribute of the object is not available.
An attribute reference is a primary followed by a period and a name:
To return a list of valid attributes for that object, use
dir()
, e.g.:So probably you need to do simply:
import scipy.sparse
The default namespace in Python is
"__main__"
. When you useimport scipy
, Python creates a separate namespace as your module name. The rule in Pyhton is: when you want to call an attribute from another namespaces you have to use the fully qualified attribute name.This happens because the
scipy
module doesn't have any attribute namedsparse
. That attribute only gets defined when youimport scipy.sparse
.Submodules don't automatically get imported when you just
import scipy
; you need to import them explicitly. The same holds for most packages, although a package can choose to import its own submodules if it wants to. (For example, ifscipy/__init__.py
included a statementimport scipy.sparse
, then thesparse
submodule would be imported whenever you importscipy
.)