shape_reshape.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6c1b382b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8593d8ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr1 = np.array([1,2,3,4,5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "548e36e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5,)\n"
     ]
    }
   ],
   "source": [
    "print(arr1.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "51f7b06e",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr2 = np.array([[1,2,3,4,5],[6,7,8,9,10]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c0a2e49b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 5)\n"
     ]
    }
   ],
   "source": [
    "print(arr2.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e152e65f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1  2]\n",
      " [ 3  4]\n",
      " [ 5  6]\n",
      " [ 7  8]\n",
      " [ 9 10]]\n"
     ]
    }
   ],
   "source": [
    "print(arr2.reshape(5,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3cff56be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[[[1 2 3 4]]]]]\n",
      "(1, 1, 1, 1, 4)\n"
     ]
    }
   ],
   "source": [
    "arr = np.array([1, 2, 3, 4], ndmin=5)\n",
    "\n",
    "print(arr)\n",
    "print(arr.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c4c559c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[[[1 2 3 4]]]]]\n"
     ]
    }
   ],
   "source": [
    "print(arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "58398ed1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1  2  3  4  5]\n",
      " [ 6  7  8  9 10]]\n"
     ]
    }
   ],
   "source": [
    "print(arr2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45996115",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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