stack_arrays_in_list.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "stack_arrays_in_list.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "yMzlFiIEJlpc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F_mtmyzCJqeB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "bfcdd0f1-3a5d-4737-9626-ad086baa4dc2"
      },
      "source": [
        "my_list = []\n",
        "a = np.array([1, 2, 3])\n",
        "my_list.append(a)\n",
        "b = np.array([2, 3, 4])\n",
        "my_list.append(b)\n",
        "print(my_list)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[array([1, 2, 3]), array([2, 3, 4])]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nkDEkLDyJiw8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "outputId": "b1c53d4a-4555-4c5f-b384-7efc0cc5d246"
      },
      "source": [
        "array_stack = np.stack((a, b))\n",
        "print(array_stack)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[1 2 3]\n",
            " [2 3 4]]\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}