No Module Named ‘Sqlalchemy-Jsonfield’ in Python

In this article, we are going to see how we can fix the Python Code Error: “No Module Named ‘Sqlalchemy-Jsonfield’“. This error is encountered when the specified module is not installed in our Python environment. We will try to reproduce the error and resolve it with the proper solutions demonstrated in the screenshots.

What is the “No Module Named ‘Sqlalchemy-Jsonfield” Error?

The “No module named ‘sqlalchemy-jsonfield‘” error typically occurs when attempting to import a module or library named ‘sqlalchemy-jsonfield,’ and the Python interpreter cannot find such a module in its search path. This error suggests that either the module is not installed in the Python environment or it may be named differently. It’s important to verify the correct installation of the required package, ensuring that the module name matches the one being imported.

Example:

Why does Python Code Error: No Module Named ‘Sqlalchemy-Jsonfield’ occur?

Below, are the reasons for “Modulenotfounderror: No Module Named ‘Sqlalchemy-Jsonfield'” In Python occurring.

• Module Not Installed
• Incorrect Module Name

When Module is Not Installed

In this scenario, we are trying to import the sqlachemy_jsonfield module in the application, as it checks if the database exists and creates if not. But, as the module is not installed, it will give the Error as “No Module Named ‘Sqlalchemy-Jsonfield”. Without installing the module, we cannot use the module.

Python3

# importing module. But will give error. Module not installed
from sqlalchemy_jsonfield import JSONField
Base = declarative_base()


class ExampleModel(Base):
    __tablename__ = 'example_table'
    id = Column(Integer, primary_key=True)
    json_data = Column(JSONField)


engine = create_engine('sqlite:///:memory:')
Base.metadata.create_all(engine)
example_instance = ExampleModel(json_data={'key': 'value'})
with engine.connect() as connection:
    example_instance_id = connection.execute(ExampleModel.__table__.insert(
    ).returning(ExampleModel.id, ExampleModel.json_data)).fetchone()
    print(
        f"Inserted ExampleModel with ID: {example_instance_id[0]} and JSON data: {example_instance_id[1]}")

Output:

Hangup (SIGHUP)
Traceback (most recent call last):
  File "Solution.py", line 3, in <module>
    from sqlalchemy_jsonfield import JSONField
ModuleNotFoundError: No module named 'sqlalchemy_jsonfield'

Incorrect Module Name

Another reason for the error might be a typo or incorrect naming when trying to import the Sqlalchemy-Jsonfield module. Python is case-sensitive, so ensure that the module name is spelled correctly.

Python3

from SQLALCHEMY_jsonfield import JSONField

Output:

Hangup (SIGHUP)
Traceback (most recent call last):
  File "Solution.py", line 1, in <module>
    from SQLALCHEMY_jsonfield import JSONField
ModuleNotFoundError: No module named 'SQLALCHEMY_jsonfield'

Solution for No Module Named ‘Sqlalchemy-Jsonfield in Python

Below are the solutions for No Module Named ‘Sqlalchemy-Jsonfield in Python:

Install sqlalchemy_jsonfield Module

We can resolve this error by installing the Sqlalchemy-Jsonfield package externally using the PIP package manager. Execute the below command in the prompt to install the package.

Command:

pip3 install sqlalchemy_jsonfield

Once we execute the command, it will take a couple of minutes to completely install the package according to the internet speed.

Once the installation is completed, try to import the package and verify whether the error is resolved or not. The below code will check the version of the Sqlalchemy-Jsonfield package.

Python3

import sqlalchemy_jsonfield
 print("version:", sqlalchemy_jsonfield.__version__)

Output:

Correct the Spelling Mistake

Sometimes, the error occurs due to the spelling mistake while importing the module. So, we can correct the spelling mistake while importing this module.

Python3

import sqlalchemy_jsonfield

Conclusion

In conclusion, fixing the “No Module Named ‘Sqlalchemy-Jsonfield” error can be done in Python by installing the sqlalchemy_jsonfield package using the PIP Package manager. The error which is encountered specifies the missing module which can be fixed only by installing it in the Python Environment by PIP Manager. By executing the installation command, the module is been installed and for verification, we can check the version of the package and ensure that the module is successfully installed on our system.