Delete Untitled.ipynb

Untitled.ipynb

-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "d8c9cc7e-12af-41a2-a3e2-17947687b52b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "id": "0a9bf50c-beb0-419c-8461-08b7b11db189",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "L = np.arange(10, 32, 2)\n",
-    "dL = np.random.rand(len(L))\n",
-    "B = 0.5\n",
-    "alpha = 0.3\n",
-    "T0 = T = B*L**alpha\n",
-    "T = B*(L+dL)**alpha"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "id": "cafe1b32-cfac-4005-888d-75cb295b539b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "plt.plot(L, T0, 'b.')\n",
-    "plt.plot(L, T, 'g.')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "id": "7d536043-8efb-4a8f-9017-7b9b13c8ea1a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "X = np.log(L)\n",
-    "Y = np.log(T)\n",
-    "\n",
-    "plt.figure()\n",
-    "plt.plot(X, Y, 'g.')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6c99b9ca-c8c1-43ae-988f-6430c66aca0d",
-   "metadata": {},
-   "source": [
-    "## Ajuste lineal"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "id": "3ded9ca3-c33a-4b0f-8b02-04dc38c6fca6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.28504042495634563 -0.6423000064800591\n"
-     ]
-    }
-   ],
-   "source": [
-    "alpha_exp, C_exp = np.polyfit(X,Y, 1)\n",
-    "print(alpha_exp, C_exp)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "id": "7d0c0abf-9ba7-43db-97bd-b8c0867e093e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.5260810416785282"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "np.exp(C_exp)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c5e3186b-dd09-4813-a21c-48e980741cb2",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}