🎲 Random Numbers in NumPy (Complete Guide) NumPy provides a powerful random module (numpy.random) to generate random numbers, arrays, choices, and distributions. ✅ 1. Generate a Single Random Number from numpy import random num...
🎯 NumPy Filtering Arrays (Complete Guide) Filtering means selecting elements based on a condition and creating a new array from matching values. NumPy uses boolean indexing to filter arrays. ✅ 1. Basic Filtering with...
🧹 NumPy Sorting Arrays (Complete Guide) Sorting helps rearrange array elements in ascending order (default) or descending using additional logic. NumPy provides: ✔ np.sort()✔ np.argsort()✔ Sorting by axis✔ Structured array sorting ✅ 1. Sorting...
🔍 NumPy Searching Arrays (Complete Guide) Searching arrays means finding positions (indexes) of elements that match a condition or value. NumPy provides useful methods: ✔ where()✔ searchsorted()✔ argmax(), argmin()✔ nonzero() ✅ 1. np.where() —...
✂️ NumPy Splitting Arrays (Complete Guide) Splitting arrays is the opposite of joining arrays — it divides one array into multiple smaller sub-arrays. NumPy provides these main split methods: ✔ array_split()✔ split()✔ hsplit()✔ vsplit()✔...
🔗 NumPy Joining Arrays (Complete Guide) Joining (or concatenating) arrays means combining two or more arrays into a single array.NumPy provides multiple functions to join arrays: ✔ concatenate()✔ stack()✔ hstack()✔ vstack()✔ dstack()✔ column_stack() ✅...
🔁 NumPy Array Iteration (Complete Guide with Examples) Iterating through NumPy arrays means accessing elements one-by-one using loops.NumPy provides efficient ways to iterate through 1D, 2D, 3D arrays, including vectorized methods. ✅ 1. Iterating...
✅ 1. Using reshape() You can convert a 1D array into 2D, 3D, etc. Example: Convert 1D → 2D import numpy as np arr = np.array([1, 2, 3, 4, 5, 6]) newarr = arr.reshape(2,...
📐 NumPy — Array Shape The shape of a NumPy array tells how many rows, columns, and dimensions the array has. It is represented as a tuple: (shape_of_dim1, shape_of_dim2, shape_of_dim3, …) ✅ 1. Checking...
🆚 NumPy — Copy vs View When working with NumPy arrays, modifying data may or may not affect the original array depending on whether you’re using a copy or a view. Feature Copy View...
