Tag: Python

Getting information about the data type of elements in a NumPy array : NumPy’s np.ndarray.dtype

In NumPy, np.ndarray.dtype is an attribute that provides information about the data type of elements in a NumPy array. It…

Continue Reading Getting information about the data type of elements in a NumPy array : NumPy’s np.ndarray.dtype

How to get the information about the dimensionality of a NumPy array- Python : np.ndarray.ndim

In NumPy, np.ndarray.ndim is an attribute that provides information about the dimensionality of a NumPy array. It returns an integer…

Continue Reading How to get the information about the dimensionality of a NumPy array- Python : np.ndarray.ndim

Understanding the shape of NumPy Arrays: np.ndarray.shape Demystified

In NumPy, np.ndarray.shape is an attribute that provides information about the shape or dimensions of a NumPy array. It returns…

Continue Reading Understanding the shape of NumPy Arrays: np.ndarray.shape Demystified

Dividing an array into multiple smaller arrays along a specified axis using NumPy’s np.split

np.split is one such function that allows you to divide an array into multiple smaller arrays along a specified axis….

Continue Reading Dividing an array into multiple smaller arrays along a specified axis using NumPy’s np.split

Removing dimensions with size 1 from arrays using Python NumPy’s np.squeeze

np.squeeze is a versatile function that allows you to remove dimensions with size 1 from arrays, resulting in a cleaner…

Continue Reading Removing dimensions with size 1 from arrays using Python NumPy’s np.squeeze

Rearranging of array dimensions using Python NumPy’s np.transpose

One essential array manipulation function is np.transpose, which allows for the rearrangement of array dimensions to better suit specific data…

Continue Reading Rearranging of array dimensions using Python NumPy’s np.transpose

Generating arrays with logarithmically spaced values : Python NumPy’s np.logspace

The functions in NumPy that’s particularly useful for generating arrays with logarithmically spaced values is np.logspace. What is np.logspace? np.logspace…

Continue Reading Generating arrays with logarithmically spaced values : Python NumPy’s np.logspace