How To Fix “Load() Missing 1 Required Positional Argument: ‘Loader'” In Python

load() missing 1 required positional argument: ‘loader’

To fix the “load() missing 1 required positional argument: ‘loader'” error in Python, there are two solutions we have effectively tested. Follow the article to better understand.

What causes this error?

The error happens when the ‘loader’ argument used in the yaml.load() method is not explicitly specified.

Example: 

import yaml

information = """
    age's father : 50
    age's mother : 45
    age's sister : 12
    my age :   
"""

print(yaml.load(information))

Output:

Traceback (most recent call last):
  File "code.py", line 10, in <module>
    print(yaml.load(information))
TypeError: load() missing 1 required positional argument: 'Loader'

How to fix the “load() missing 1 required positional argument: ‘loader'” error?

Use the ‘yaml.safe_load()’ method or the ‘yaml.full_load()’ method 

The yaml.safe_load() method or the yaml.full_load() method makes the ‘loader’ argument more transparent.

Example:

import yaml

information = """
    age's father : 50
    age's mother : 46
    age's sister : 12
    my age : 
"""

print(yaml.safe_load(information))
print(yaml.full_load(information))

Output:

{"age's father": 50, "age's mother": 46, "age's sister": 12, 'my age': None}
{"age's father": 50, "age's mother": 46, "age's sister": 12, 'my age': None}

Note:

The yaml.safe_load() method should only be used to order or decode non-executable arguments from a YAML file.

The yaml.full_load() method has the effect of loading the full functionality of YAML. 

Assign the ‘Loader’ argument attribute of module ‘yaml’

Example:

import yaml

information = """
    age's father : 50
    age's mother : 46
    age's sister : 12
    my age : 
"""

print(yaml.load(information, Loader=yaml.SafeLoader))
print(yaml.load(information, Loader=yaml.FullLoader))

Output:

{"age's father": 50, "age's mother": 46, "age's sister": 12, 'my age': None}
{"age's father": 50, "age's mother": 46, "age's sister": 12, 'my age': None}

Updated package ‘pyyaml’ suitable for Google Colab

Collaboratory, also known as Google Colab, is a product from Google Research. Using Google Colab has the following advantages: it can run Python on any device with an internet connection without having to be installed, supports sharing and teamwork, and allows free use of GPU for AI projects. Besides, Google Colab provides a great user experience when providing and upgrading features not found in Jupyter Notebook, JupyterLab alone.

If you are installing ‘pandas_profiling’ and the update package ‘pyyaml’ is on version 6.0 it will not be compatible with the current Google Colab. So to solve the problem, you need to bring ‘pyyaml’ back to version 5.4.1

To revert ‘pyyaml’ to version 5.4.1, add this line at the end of your installation package:

!pip install pyyaml==5.4.1

Summary

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