Can you define aliases for imported modules in Python?

Question

In Python, is it possible to define an alias for an imported module?

For instance:

import a_ridiculously_long_module_name

...so that is has an alias of 'short_name'.

Trinitytrinket

Answer 1

import a_ridiculously_long_module_name as short_name

also works for

import module.submodule.subsubmodule as short_name

Dimissory

from module import sub_module_1 as s1, sub_module_2 as s2 – Wicklow

Can you do this for functions too? E.g. from normal_module import super_duper_ridiculously_long_function_name as supe? – Beta

Answer 2

Check here

import module as name

or

from relative_module import identifier as name

Valine

Hmm, when I try to do from name import X (after the alias definition) I get No module named name. Can we import modules from aliases? – Landside

It seems you can't, here is the clearest answer I found for that stackoverflow.com/a/40823467 – Channing

Answer 3

If you've done:

import long_module_name

you can also give it an alias by:

lmn = long_module_name

There's no reason to do it this way in code, but I sometimes find it useful in the interactive interpreter.

Unfinished

For some purposes this is better than the top answers (import long_module_name as lmn) because you can still reference the module by both long_module_name.x and lmn.x – Nonrigid

This is the technically correct response for the question: aliases for imported modules. – Terrazzo

The reason this is possible is that modules are first-class objects in Python. – Prohibitive

Answer 4

Yes, modules can be imported under an alias name. using as keyword. See

import math as ilovemaths # here math module is imported under an alias name
print(ilovemaths.sqrt(4))  # Using the sqrt() function

Misreport

Answer 5

Yes, you can define aliases for imported modules in Python.

Using pandas is considered a best practice in python because Pandas can import most file formats and link to databases.

Example: Import pandas library

import pandas as pd

Explaining:

pd: is the conventional alias for pandas.

NP: is the conventional alias for Numpy.

Using short alias helps keep code (concise) and (clean).

Spongy

NP in capitals for numpy?? – Heyday

Sorry, small letters – Spongy

Answer 6

from MODULE import TAGNAME as ALIAS

Patience

Can you please be more specific? This answer isn't formatted properly, and it doesn't give an explanation. – Opening

The answer doesn't even provide something new – Billion