Import in python is similar to #include header_file in C/C++. Python modules can get access to code from another module by importing the file/function using import. The import statement is the most common way of invoking the import machinery, but it is not the only way.
import module_name
When the import is used, it searches for the module initially in the local scope by calling __import__() function. The value returned by the function is then reflected in the output of the initial code.Â
PYTHON
import mathpie = math.piprint("The value of pi is : ",pie) |
Output:
The value of pi is : ', 3.141592653589793
import module_name.member_nameÂ
In the above code module, math is imported, and its variables can be accessed by considering it to be a class and pi as its object.Â
The value of pi is returned by __import__(). pi as a whole can be imported into our initial code, rather than importing the whole module.Â
PYTHON
from math import piÂ
# Note that in the above example,# we used math.pi. Here we have used# pi directly.print(pi) |
Output:
3.141592653589793
 from module_name import *Â
In the above code module, math is not imported, rather just pi has been imported as a variable.Â
All the functions and constants can be imported using *.Â
PYTHON
from math import *print(pi)print(factorial(6)) |
3.14159265359 720
As said above import uses __import__() to search for the module, and if not found, it would raise ImportErrorÂ
PYTHON
import mathematicsprint(mathematics.pi) |
Output:
Traceback (most recent call last):
File "C:/Users/GFG/Tuples/xxx.py", line 1, in
import mathematics
ImportError: No module named 'mathematics'
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