Expressing gratitude to Alain for bringing up the issue, it has come to our attention that compiled programs are linked to shared libraries. These libraries may either be pre-installed in the compiler or system. The problem encountered is that when launching Blender, it detects an outdated version of the gcc library which suffices for Blender’s […]

# Category: Numpy

## Example code using NumPy to calculate root mean square error in Python

Proposed Solution 2: I encountered difficulties with convolve on my machine and suggest a solution for computing moving RMS window efficiently. For example, when dealing with analog voltage samples a0…a99, taking the moving RMS of 10 samples, the window will initially scan elements a0 to a9 (ten samples) to obtain rms0. Solution 1: The operation […]

## Utilization of Numpy for Applying Isotropic Squared Exponential Kernel

A proposition can be demonstrated to indicate that a definite form can be obtained in the absence of nonzero isotropic vectors. Specifically, if there exist vectors $v$ and $w$ such that $Q(v) > 0$ and $Q(w) < 0$, then a nonzero isotropic vector is present. To achieve this, $Q$ can be transformed into a bilinear […]

## Normalizing a 2D vector in Python: A Python tutorial

Individual vectors are operated on. When discussing the normalization of a vector, we refer to it as a unit vector with a magnitude of 1. Normalize a Numpy array of 2D vector by a Pandas column of norms, But knowing Numpy, there should be a more efficient way to do it in one line and […]

## Utilizing Numpy for Sigma Notation

To pass your array, use it as the second argument. For instance, if you want to generate non-repeated float random numbers within a specific range, with a given size and standard deviation, there is a method available. As per the request of @oliver-w, here is a brief explanation of the methodology. It assumes that the […]

## Transform a PIL Image into a NumPy Array

In this tutorial, we will learn how to convert a PIL image to a 3-dimensional NumPy Array in Python using different methods. One of these methods is by using the “Function” in Python which allows us to perform various operations on images. Another way to achieve the same goal is by utilizing the same “Function”. […]

## Squeezing an np array into a list: A Guide

The code snippet below illustrates how the np.array() and np.squeeze() functions work. The initial array is created with a shape of (1, 1) and its shape is printed using f-string notation. The np.squeeze() function is then used to remove the second dimension from the array, resulting in a new shape of (1,). The shape of […]

## NumPy Array Encoding Using One-Hot Technique in Python

Certain algorithms cannot process categorical data labels and instead require numeric values, particularly when dealing with categorical data. For instance, in the case of a given dataset, np.loadtxt or np.genfromtxt can apply a converter to allocate values to the categorical data in the sex column. Python – One Hot Encoding using numpy, One Hot Encoding […]

## Code example for repeating a Numpy array along an axis

To resolve the problem, consider the following suggestions, which include ideas from Michael Szczesny. One option is to utilize either .copy() or .view(), the latter of which only provides a view at the time of creation. Additionally, reshaping creates a duplicate. However, it is typically more effective to use broadcasting instead. The decision to do […]

## Converting an array of strings to float using Python

In this article, we will learn how to utilize NumPy to transform a string array to a float array. NumPy is a Python library designed for carrying out various mathematical and logical operations on multidimensional arrays and matrices. Convert String to Float in NumPy, a – It is the input array that will convert to […]