overview of __import__()
The __import__() function is used to change the behavior of the import statement. The import statement actually calls the __import__() function. The use of the function is discouraged and the preferred way of changing the import behavior is by using import hooks.
use of __import__()
The __import__() function can be used to change the behavior of the import statement.
# use of __import__()
np = __import__('numpy', globals(), locals(), [], 0)
a = np.zeros( 10, int )
print(a)
The __import__() function is used to import the numpy module as np. It allows us to call numpy methods using np.method() calls.
[0 0 0 0 0 0 0 0 0 0]
syntax of __import__()
The sytnax of the __import__() function is:
__import__(name[, globals=None, locals=None, fromlist=(), level=0])
arguments of __import__()
The import function requires at least one argument, the name argument. It has also four more additional arguments.
| argument |
required |
description |
| name |
required |
the name of the module to be imported |
| globals |
optional |
globals and locals to determine how to interpret the name |
| fromlist |
optional |
objects or submodules to be imported by name |
| levels |
optional |
the level defines if absolute or relative imports are used |
If no argument is passed an TypeError exception is raised:
TypeError: __import__() missing required argument 'name' (pos 1)