Home > Backend Development > Python Tutorial > ValueError: Setting an Array Element with a Sequence: Why Does This Happen in NumPy?

ValueError: Setting an Array Element with a Sequence: Why Does This Happen in NumPy?

Susan Sarandon
Release: 2024-12-01 06:47:17
Original
910 people have browsed it

ValueError: Setting an Array Element with a Sequence: Why Does This Happen in NumPy?

ValueError: Setting an Array Element with a Sequence

Why do the following code samples give the error "ValueError: setting an array element with a sequence?":

np.array([[1, 2], [2, 3, 4]])
np.array([1.2, "abc"], dtype=float)
Copy after login

Possible Reason 1: Jagged Arrays

You may be trying to create a "jagged array", where the number of elements in each sublist varies. NumPy does not support this:

np.array([[1, 2], [2, 3, 4]]) # error
Copy after login

The inner lists must have the same length to form a multidimensional array.

Possible Reason 2: Incompatible Types

You may be providing elements of incompatible types to the array. For example, trying to include a string in an array of floats:

np.array([1.2, "abc"], dtype=float) # error
Copy after login

If necessary, you can use the dtype=object option to create an array that holds arbitrary Python objects:

np.array([1.2, "abc"], dtype=object)
Copy after login

The above is the detailed content of ValueError: Setting an Array Element with a Sequence: Why Does This Happen in NumPy?. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Latest Articles by Author
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template