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Compute Natural Logorithm.ipynb
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "name": "Compute Natural Logorithm.ipynb", | |
| "provenance": [], | |
| "collapsed_sections": [], | |
| "authorship_tag": "ABX9TyMTIPvu4WAlJZvC5jVShv3s", | |
| "include_colab_link": true | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| }, | |
| "language_info": { | |
| "name": "python" | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/machinelearning147/34c3218336ebbccb4e7fc785846e4847/compute-natuuur-logorithm.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "tpzzugTKim1B" | |
| }, | |
| "source": [ | |
| "" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "624I-OXdjmDm" | |
| }, | |
| "source": [ | |
| "def compute_nat_log(x):\n", | |
| " return np.log(1/(1-x))" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "J1zRa4eBl_hS" | |
| }, | |
| "source": [ | |
| "Visual Understanding " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "F8h0PVCpkfLd" | |
| }, | |
| "source": [ | |
| "x = np.arange(-10,1, 0.1)\n", | |
| "y = compute_nat_log(x) #np.log(1/(1-x))" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "LN3RxIR6k3lf" | |
| }, | |
| "source": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "%matplotlib inline" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 282 | |
| }, | |
| "id": "eeVafpcDk-CI", | |
| "outputId": "d759a4bc-aa7d-4606-ee41-ed7c454433a6" | |
| }, | |
| "source": [ | |
| "plt.plot(x,y)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "[<matplotlib.lines.Line2D at 0x7f00e2ffee50>]" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 27 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [], | |
| "needs_background": "light" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "2VjXUNiWmEsH" | |
| }, | |
| "source": [ | |
| "Code here to run in loop:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "lJPO-M0olAXA", | |
| "outputId": "7a936c6e-baf6-4b72-e938-83d0565e9ff2" | |
| }, | |
| "source": [ | |
| "while True:\n", | |
| " # Pass 1 to break\n", | |
| " x= int(input())\n", | |
| " y = compute_nat_log(x)\n", | |
| " if np.isnan(y):\n", | |
| " print(\"Illigal input value entered\")\n", | |
| " break\n", | |
| " print(x,y)\n" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "0\n", | |
| "0 0.0\n", | |
| "-9\n", | |
| "-9 -2.3025850929940455\n", | |
| "2\n", | |
| "Illigal input value entered\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: RuntimeWarning: invalid value encountered in log\n", | |
| " \n" | |
| ], | |
| "name": "stderr" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "7g_PQ5DwnKh7" | |
| }, | |
| "source": [ | |
| "" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| } | |
| ] | |
| } |
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