If you are working with Python and have encountered the error message “NameError: name ‘pickle’ is not defined”, don’t worry! This error is quite common and can be easily fixed.

In this tutorial, we will explain what this error means and why it occurs. We will also provide step-by-step instructions on how to fix it. By the end of this tutorial, you will have a clear understanding of how to resolve the “NameError: name ‘pickle’ is not defined” error and continue with your Python programming tasks.
Why does the NameError: name 'pickle' is not defined
error occur?
This error occurs when you try to use the pickle library in your Python code, but Python cannot find the pickle module in its namespace. The following are some of the scenarios in which this error usually occurs.
- You have not imported the pickle module.
- You have imported the pickle module using a different name.
How to fix the NameError: name 'pickle' is not defined
?
The pickle
module in Python is used for serializing and de-serializing Python objects. Serialization is the process of converting an object into a stream of bytes to store it in a file or database, or to transmit it over a network. De-serialization is the reverse process of converting a stream of bytes back into a Python object. The pickle
module can handle almost any Python object, including complex data types like lists, dictionaries, and user-defined classes. It is a powerful tool for saving and loading data in Python programs.
Since this module is part of the Python Standard Library, you don’t need to separately install it. You can simply import it and start using it. Let’s now look at the above scenarios that may result in the above error in detail.
The pickle
module is not imported
It can happen that you are trying to use the pickle
module without even importing it. This is because Python does not recognize the pickle library and its functions until it is imported into the code.
For example, let’s try to use the pickle
module without importing it and see what we get.
# note that pickle is not imported # define a dictionary containing the names of Marvel superheroes marvel_superheroes = { "Iron Man": "Tony Stark", "Captain America": "Steve Rogers", "Thor": "Thor Odinson", "Hulk": "Bruce Banner", "Black Widow": "Natasha Romanoff", "Hawkeye": "Clint Barton", "Spider-Man": "Peter Parker" } # define the filename for the pickle file filename = "marvel_superheroes.pickle" # open the file in write binary mode with open(filename, "wb") as f: # Use the pickle module to dump the dictionary to the file pickle.dump(marvel_superheroes, f)
Output:
--------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[1], line 20 17 # open the file in write binary mode 18 with open(filename, "wb") as f: 19 # Use the pickle module to dump the dictionary to the file ---> 20 pickle.dump(marvel_superheroes, f) NameError: name 'pickle' is not defined
We get a NameError
stating that the name pickle
is not defined. To use the pickle
library, you need to import it first.
import pickle # define a dictionary containing the names of Marvel superheroes marvel_superheroes = { "Iron Man": "Tony Stark", "Captain America": "Steve Rogers", "Thor": "Thor Odinson", "Hulk": "Bruce Banner", "Black Widow": "Natasha Romanoff", "Hawkeye": "Clint Barton", "Spider-Man": "Peter Parker" } # define the filename for the pickle file filename = "marvel_superheroes.pickle" # open the file in write binary mode with open(filename, "wb") as f: # Use the pickle module to dump the dictionary to the file pickle.dump(marvel_superheroes, f)
Here, we are import the pickle
module first, and then we define a dictionary called marvel_superheroes
containing the names of Marvel superheroes. We then define a filename for the pickle file and open the file in write binary mode using a with
statement. Finally, we use the pickle.dump()
method to dump the marvel_superheroes
dictionary to the file. You can see that we did not get any errors here.
The pickle
module is imported using a different name
If you import the pickle module using a different name, for example import pickle as pkl
, and then try to use the name “pickle” to use it, you will get a NameError
because the name “pickle” is not recognized in your current namespace.
Let’s look at an example.
import pickle as pkl # define a dictionary containing the names of Marvel superheroes marvel_superheroes = { "Iron Man": "Tony Stark", "Captain America": "Steve Rogers", "Thor": "Thor Odinson", "Hulk": "Bruce Banner", "Black Widow": "Natasha Romanoff", "Hawkeye": "Clint Barton", "Spider-Man": "Peter Parker" } # define the filename for the pickle file filename = "marvel_superheroes.pickle" # open the file in write binary mode with open(filename, "wb") as f: # Use the pickle module to dump the dictionary to the file pickle.dump(marvel_superheroes, f)
Output:
--------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[1], line 20 17 # open the file in write binary mode 18 with open(filename, "wb") as f: 19 # Use the pickle module to dump the dictionary to the file ---> 20 pickle.dump(marvel_superheroes, f) NameError: name 'pickle' is not defined
We get a NameError: name 'pickle' is not defined
. This is because we have imported the pickle
module with the name pkl
but we’re trying to use it using the name pickle
.
To fix this error, you can either use the name that you have used in the import statement or import pickle without an alias. Note that the convention is to use import pickle
(without an alias) as it is recommended that you follow this convention that it makes your code more standardized and makes it easy to read by other developers.
Conclusion
In conclusion, the “NameError: name ‘pickle’ is not defined” error can be fixed by importing the pickle module in your Python code. This error occurs when the interpreter cannot find the pickle module, which is used for serializing and de-serializing Python objects. By importing the pickle module, you can use its functions to save and load Python objects to and from files. Remember to always import the necessary modules at the beginning of your code to avoid such errors. With this fix, you can continue working on your Python project without any interruptions.
You might also be interested in –