The relative import feature of Python3 is not compatible with Jupyter or REPL, how to fix it?












-1















Assuming if I have 2 files:



in something.py:



def a():
<... do something>


in b.py:



from .something import *
a()


then b.py theoretically should work when being executed as a module, thanks to the relative import feature (How to do relative imports in Python?)



However, when b.py is being evaluated in REPL (using eval() function), or b.py is converted to a jupyter notebook. Running will simply triggers:




ModuleNotFoundError: No module named 'main.something'; 'main' is not a package




This is very annoying: it basically means jupyter & python file have to use 2 versions to do the same thing, is there a way for relative import that works in all 3 cases?










share|improve this question

























  • Not sure about the specifics of how your code is structured, but your question might possibly a duplicate of this: stackoverflow.com/questions/34478398/…; basically, hack your module path so that it includes the directory that contains your code, and then import your code like a module.

    – dtanabe
    Jan 19 at 2:45











  • Agreed, but there are many different ways to hack a REPL/jupyter's module path, I'm simply looking for a concise and widely-accepted solution

    – tribbloid
    Jan 19 at 2:52











  • What exactly do you mean by b.py is being evaluated in REPL? Oh, and that 'recently introduced' link? It's from 2008.

    – hpaulj
    Jan 19 at 2:58













  • @hpaulj yeah you are right, I thought it was introduced in python 3, turns out that it's already there for a long time, just not popular

    – tribbloid
    Jan 19 at 19:10











  • This problem has nothing to do with relative imports. You would have the exact same problem with absolute imports.

    – user2357112
    Jan 19 at 19:17
















-1















Assuming if I have 2 files:



in something.py:



def a():
<... do something>


in b.py:



from .something import *
a()


then b.py theoretically should work when being executed as a module, thanks to the relative import feature (How to do relative imports in Python?)



However, when b.py is being evaluated in REPL (using eval() function), or b.py is converted to a jupyter notebook. Running will simply triggers:




ModuleNotFoundError: No module named 'main.something'; 'main' is not a package




This is very annoying: it basically means jupyter & python file have to use 2 versions to do the same thing, is there a way for relative import that works in all 3 cases?










share|improve this question

























  • Not sure about the specifics of how your code is structured, but your question might possibly a duplicate of this: stackoverflow.com/questions/34478398/…; basically, hack your module path so that it includes the directory that contains your code, and then import your code like a module.

    – dtanabe
    Jan 19 at 2:45











  • Agreed, but there are many different ways to hack a REPL/jupyter's module path, I'm simply looking for a concise and widely-accepted solution

    – tribbloid
    Jan 19 at 2:52











  • What exactly do you mean by b.py is being evaluated in REPL? Oh, and that 'recently introduced' link? It's from 2008.

    – hpaulj
    Jan 19 at 2:58













  • @hpaulj yeah you are right, I thought it was introduced in python 3, turns out that it's already there for a long time, just not popular

    – tribbloid
    Jan 19 at 19:10











  • This problem has nothing to do with relative imports. You would have the exact same problem with absolute imports.

    – user2357112
    Jan 19 at 19:17














-1












-1








-1








Assuming if I have 2 files:



in something.py:



def a():
<... do something>


in b.py:



from .something import *
a()


then b.py theoretically should work when being executed as a module, thanks to the relative import feature (How to do relative imports in Python?)



However, when b.py is being evaluated in REPL (using eval() function), or b.py is converted to a jupyter notebook. Running will simply triggers:




ModuleNotFoundError: No module named 'main.something'; 'main' is not a package




This is very annoying: it basically means jupyter & python file have to use 2 versions to do the same thing, is there a way for relative import that works in all 3 cases?










share|improve this question
















Assuming if I have 2 files:



in something.py:



def a():
<... do something>


in b.py:



from .something import *
a()


then b.py theoretically should work when being executed as a module, thanks to the relative import feature (How to do relative imports in Python?)



However, when b.py is being evaluated in REPL (using eval() function), or b.py is converted to a jupyter notebook. Running will simply triggers:




ModuleNotFoundError: No module named 'main.something'; 'main' is not a package




This is very annoying: it basically means jupyter & python file have to use 2 versions to do the same thing, is there a way for relative import that works in all 3 cases?







python python-3.x jupyter read-eval-print-loop relative-import






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Jan 19 at 19:10







tribbloid

















asked Jan 19 at 2:37









tribbloidtribbloid

1,92052751




1,92052751













  • Not sure about the specifics of how your code is structured, but your question might possibly a duplicate of this: stackoverflow.com/questions/34478398/…; basically, hack your module path so that it includes the directory that contains your code, and then import your code like a module.

    – dtanabe
    Jan 19 at 2:45











  • Agreed, but there are many different ways to hack a REPL/jupyter's module path, I'm simply looking for a concise and widely-accepted solution

    – tribbloid
    Jan 19 at 2:52











  • What exactly do you mean by b.py is being evaluated in REPL? Oh, and that 'recently introduced' link? It's from 2008.

    – hpaulj
    Jan 19 at 2:58













  • @hpaulj yeah you are right, I thought it was introduced in python 3, turns out that it's already there for a long time, just not popular

    – tribbloid
    Jan 19 at 19:10











  • This problem has nothing to do with relative imports. You would have the exact same problem with absolute imports.

    – user2357112
    Jan 19 at 19:17



















  • Not sure about the specifics of how your code is structured, but your question might possibly a duplicate of this: stackoverflow.com/questions/34478398/…; basically, hack your module path so that it includes the directory that contains your code, and then import your code like a module.

    – dtanabe
    Jan 19 at 2:45











  • Agreed, but there are many different ways to hack a REPL/jupyter's module path, I'm simply looking for a concise and widely-accepted solution

    – tribbloid
    Jan 19 at 2:52











  • What exactly do you mean by b.py is being evaluated in REPL? Oh, and that 'recently introduced' link? It's from 2008.

    – hpaulj
    Jan 19 at 2:58













  • @hpaulj yeah you are right, I thought it was introduced in python 3, turns out that it's already there for a long time, just not popular

    – tribbloid
    Jan 19 at 19:10











  • This problem has nothing to do with relative imports. You would have the exact same problem with absolute imports.

    – user2357112
    Jan 19 at 19:17

















Not sure about the specifics of how your code is structured, but your question might possibly a duplicate of this: stackoverflow.com/questions/34478398/…; basically, hack your module path so that it includes the directory that contains your code, and then import your code like a module.

– dtanabe
Jan 19 at 2:45





Not sure about the specifics of how your code is structured, but your question might possibly a duplicate of this: stackoverflow.com/questions/34478398/…; basically, hack your module path so that it includes the directory that contains your code, and then import your code like a module.

– dtanabe
Jan 19 at 2:45













Agreed, but there are many different ways to hack a REPL/jupyter's module path, I'm simply looking for a concise and widely-accepted solution

– tribbloid
Jan 19 at 2:52





Agreed, but there are many different ways to hack a REPL/jupyter's module path, I'm simply looking for a concise and widely-accepted solution

– tribbloid
Jan 19 at 2:52













What exactly do you mean by b.py is being evaluated in REPL? Oh, and that 'recently introduced' link? It's from 2008.

– hpaulj
Jan 19 at 2:58







What exactly do you mean by b.py is being evaluated in REPL? Oh, and that 'recently introduced' link? It's from 2008.

– hpaulj
Jan 19 at 2:58















@hpaulj yeah you are right, I thought it was introduced in python 3, turns out that it's already there for a long time, just not popular

– tribbloid
Jan 19 at 19:10





@hpaulj yeah you are right, I thought it was introduced in python 3, turns out that it's already there for a long time, just not popular

– tribbloid
Jan 19 at 19:10













This problem has nothing to do with relative imports. You would have the exact same problem with absolute imports.

– user2357112
Jan 19 at 19:17





This problem has nothing to do with relative imports. You would have the exact same problem with absolute imports.

– user2357112
Jan 19 at 19:17












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