Learn how to stack arrays in NumPy using vstack(), hstack(), stack(), and dstack() functions to combine and reshape multi-dimensional data for efficient data manipulation.
array
Anything we tagged as an array on our Python site
How to trim an array with Numpy clip?
Learn how to remove outliers and trim array values using NumPy’s clip() function to constrain values within specified bounds.
How to generate random samples from a normal distribution?
Generating random samples from a normal distribution is a common task in various applications, including statistics and machine learning. Let’s learn how to generate random samples from a normal (Gaussian) distribution in Numpy Python library.
How to rank values in Numpy array?
Learn how to rank values in NumPy arrays using the argsort() function to sort by rows or columns with axis parameters.
How to transpose matrix in Numpy?
Learn how to transpose matrices in Python using NumPy’s transpose() and swapaxes() methods with practical code examples.
How to Inverse Matrix in Numpy with Python
Learn how to compute matrix inverses in Python using NumPy’s linalg.inv() function with practical examples and error handling techniques.
How to get column in Numpy array?
Learn how to extract and manipulate columns in NumPy arrays using indexing and slicing techniques for efficient data manipulation in Python.
How to plot log values in Numpy and Matplotlib?
Learn how to plot logarithmic values using Python NumPy and Matplotlib libraries with step-by-step examples.
How to calculate sum of columns and rows in Numpy?
How to calculate the sum of columns and rows in the Numpy Python library? Let’s find out in the python tutorial below.
How to multiply array by scalar in Numpy?
Let’s see how to multiply array by scalar in Numpy Python library.
How to generate array filled with value in Numpy?
Creating arrays with predefined values in NumPy is useful when you need arrays initialized with specific data from the start. We’ll show how to use the np.full function to generate arrays filled with a value of your choice.
How to mask array in Numpy?
Let’s see how to mask an array in the Numpy Python library.
How to generate diagonal array in Numpy?
Diagonal arrays are useful for various applications, including linear algebra, image processing, and more.
How to generate random matrix in Numpy?
We’ll explore how to generate random matrices using the NumPy library in Python. Random matrices are commonly used in simulations, testing, and many other applications in data science and machine learning.
How to Append to an Empty Array in Numpy (with Examples)
Let’s see how to append to an empty array in the Numpy Python module.