This error occurs when you try to use the json
module without importing it first. You can solve this error by importing the module using the import
keyword. For example,
import json lst = [1, 2, 3] json_str = json.dumps(lst)
This tutorial will go through how to solve the error with code examples.
Table of contents
NameError: name ‘json’ is not defined
Python raises the NameError when it cannot recognise a name in our program. In other words, the name we are trying to use is not defined in the local or global scope. A name can be related to a built-in function, module, or something we define in our programs, like a variable or a function.
The error typically arises when:
- We misspell a name
- We do not define a variable or function
- We do not import a module
In this tutorial, the source of the error NameError: name ‘json
‘ is not defined is usually due to not importing the module. Let’s look at an example.
Example
JSON stands for JavaScript Object Notation and is a lightweight format for storing and transporting data inspired by the syntax to define JavaScript objects. The module json
contains functions for working with JSON data.
The json
module is built-in, which means it comes with Python.
Let’s look at an example of using the loads()
method to parse a JSON string.
# JSON string: x = '{ "name":"Michalis", "age":23, "city":"Athens"}' # parse x: y = json.loads(x) # the result is a Python dictionary: print(y["age"])
The json.loads()
method returns a Python dictionary. We can access a value in the dictionary by specifying its key. Let’s try to run the code to get the age value:
--------------------------------------------------------------------------- NameError Traceback (most recent call last) Input In [1], in <cell line: 5>() 2 x = '{ "name":"Michalis", "age":23, "city":"Athens"}' 4 # parse x: ----> 5 y = json.loads(x) 7 # the result is a Python dictionary: 8 print(y["age"]) NameError: name 'json' is not defined
The error occurred because we did not import the json
module. Although json
is a built-in module, we still have to import it.
Solution #1: Import json
We can import the module by putting an import statement at the top of the program. Let’s look at the updated code:
import json # JSON string: x = '{ "name":"Michalis", "age":23, "city":"Athens"}' # parse x: y = json.loads(x) # the result is a Python dictionary: print(y["age"])
Let’s run the code to get the age
value from the dictionary:
23
Solution #2: Use the from keyword
We can also use the from
keyword to import a specific variable, class or function from a module. In this case, we want to import the loads()
method from the json
module. Using the from
keyword means we do not have to specify the module in the rest of the program, we only need to call the loads()
method.
Let’s look at the revised code:
from json import loads # JSON string: x = '{ "name":"Michalis", "age":23, "city":"Athens"}' # parse x: y = json.loads(x) # the result is a Python dictionary: print(y["age"])
Let’s run the code to get the age value from the dictionary:
23
Summary
Congratulations on reading to the end of this tutorial!
For further reading on NameErrors, go to the article: How to Solve Python NameError: name ‘os’ is not defined
To learn more about Python for data science and machine learning, go to the online courses page on Python for the most comprehensive courses available.
Have fun and happy researching!
Suf is a senior advisor in data science with deep expertise in Natural Language Processing, Complex Networks, and Anomaly Detection. Formerly a postdoctoral research fellow, he applied advanced physics techniques to tackle real-world, data-heavy industry challenges. Before that, he was a particle physicist at the ATLAS Experiment of the Large Hadron Collider. Now, he’s focused on bringing more fun and curiosity to the world of science and research online.