What’ll you do if you encounter an error in Python that states attributeerror numpy ndarray object has no attribute head? Our best advice is “don’t panic.”
In this article, we will show you how to solve the Python error attributeerror numpy ndarray object has no attribute head. This error is one of the inevitable ones we will encounter when working on a project.
It occurs when we try to call the non-existing “head” attribute on a NumPy ndarray object.
What is Python?
Python is one of the most popular programming languages. It is used for developing a wide range of applications. It is a high-level programming language that is usually used by developers nowadays due to its flexibility.
What is AttributeError?
An attributeerror is an error that appears in our Python codes when we try to access an attribute of a non-existent object. In addition, this appears when we attempt to perform non-supported operations.
Now, let’s move on to our “how to fix this error” tutorial.
How to solve “numpy ndarray object has no attribute head” in Python
There are possible solutions to fix this error. Here are some:
1. Pandas DataFrame Object
If you’re working with or planning to work with a Pandas DataFrame or Series object, make sure that the Pandas library has been imported and that a DataFrame or Series object has been correctly instantiated.
After doing this, you’ll now be able to call the head() method to view the first few rows of the object.
2. NumPy ndarray Object
If you’re working with a NumPy ndarray object, use array slicing to extract the wanted elements. For example, use the code
print(s_array[:5]) if you want to view the first five elements. This code will display the first five elements of the array on the console.
Note: Replace “s_array” with the correct name of your ndarray.
import numpy as np s_array = np.random.rand(5, 2) print(s_array[:5])
[[0.21356054 0.36378551] [0.28369218 0.46305313] [0.43635556 0.44784055] [0.21327315 0.08675719] [0.14387951 0.3666757 ]]
3. Verify the spelling
Verify if you have spelled the attribute or method name correctly. This is due to the fact that sometimes errors occur because of typos.
So before running your codes, make sure that you’re inputting the correct spelling of the attributes or methods you’re using.
In conclusion, the Python error attributeerror numpy ndarray object has no attribute head can be easily solved by either importing the Pandas library and correctly instantiating a DataFrame or Series object, using array slicing to extract the wanted elements, or verifying your spellings.
By following the guide above, there’s no doubt that you’ll be able to resolve this error quickly and without a hassle.
I think that’s all for today, ITSOURCECODERS! We hope you’ve learned a lot from this. If you have any questions or suggestions, please leave a comment below, and for more attributeerror tutorials in Python, visit our website.
Thank you for reading!