gempy-simple-interactive.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", category=RuntimeWarning) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = {'legend.fontsize': 'x-large',\n",
    "          'figure.figsize': (15, 5),\n",
    "         'axes.labelsize': 'x-large',\n",
    "         'axes.titlesize':'x-large',\n",
    "         'xtick.labelsize':'x-large',\n",
    "         'ytick.labelsize':'x-large'}\n",
    "plt.rcParams.update(params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'gempy_simple' from '/Users/flow/git/teaching-geomodeling/gempy_simple.py'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gempy_simple\n",
    "import importlib\n",
    "importlib.reload(gempy_simple)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "intp = gempy_simple.interp_with_drift()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "layer1 = np.array([[0, 0], [2, 0], [3, 0], [4, 0]])\n",
    "layer2 = np.array([[0, 2], [2, 2], [3, 3]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gempy_simple.plot_interp_with_drift(point_1_y = 2.,\n",
    "                                    point_2_y = 2.4,\n",
    "                                    G_1_x=0,\n",
    "                                    show_contours=False, \n",
    "                                    show_field=False,\n",
    "                                    pick_contour=False,\n",
    "                                    contour_val=2.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipywidgets import interactive                      # widgets and interactivity\n",
    "from ipywidgets import widgets                            \n",
    "from ipywidgets import Layout\n",
    "from ipywidgets import Label\n",
    "from ipywidgets import VBox, HBox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipywidgets import interact, interactive, fixed, interact_manual\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "328020c71a054765aed86ab5ae2aaf50",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=2.0, description='point_1_y', max=3.0, min=1.0), FloatSlider(value=3.0…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "interact(gempy_simple.plot_interp_with_drift,\n",
    "         point_1_y=(1.,3.,0.1),\n",
    "         point_2_y=(1.,3.,0.1),\n",
    "         contour_val=(1.,3.,0.1));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
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}