{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Funkcja liniowa przykłady"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def slow_function(i):\n",
    "    print(int(i),list(x for x in range(int(i)) if\n",
    "                str(x)==str(x)[::-1] and\n",
    "                str(x**2)==str(x**2)[::-1]))\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "27d808b468b54d658d428a6b98ddd115",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=100000.0, description='i', max=10000000.0, min=100000.0, step=100000.0…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ipywidgets import FloatSlider\n",
    "interact(slow_function,i=FloatSlider(min=1e5, max=1e7, step=1e5));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "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": [
    "def lin_func(a, x, b):\n",
    "    return a * x + b\n",
    "\n",
    "fig = plt.figure()\n",
    "\n",
    "x = np.linspace(0, 10, 1000)\n",
    "\n",
    "# Poniżej funkcja y = 2x + 3\n",
    "plt.plot(x, lin_func(2, x, 3 ));\n",
    "\n",
    "# Alternatywna postać - użycie lambdy\n",
    "# plt.plot(x, (lambda x: 2 * x + 3)(x));\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "be456abc039a493d9b24aa89f8463826",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=10, description='x', max=30, min=-10), Output()), _dom_classes=('widget-…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def f(x):\n",
    "    return x\n",
    "interact(f, x=10);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7d30238d823b429784adcb20557c3c97",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Checkbox(value=True, description='x'), FloatSlider(value=1.0, description='y', max=3.0, …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(x=True, y=1.0)\n",
    "def g(x, y):\n",
    "    return (x, y)"
   ]
  },
  {
   "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": "3.7.0"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "05d56293edfa48e1922f54fa09b994e8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "layout": "IPY_MODEL_a46c24a60fb6481794fbd5100bb2f082",
       "style": "IPY_MODEL_c015fcad98db4289b98ff19596e6ce49",
       "value": 40
      }
     },
     "064fb18def8b43d49a4c5d64cafc23be": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "077fecc38f2a4a86912df9cb59e947d2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "i",
       "layout": "IPY_MODEL_3e5cf2d78381432bb19c22c9594f9436",
       "max": 10000000,
       "min": 100000,
       "step": 100000,
       "style": "IPY_MODEL_78b4b841a0254a1fbe4cba739fcdc196",
       "value": 100000
      }
     },
     "144bcef8443e4a65a7b9ad9e44599db3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "1cdc1897309c424fbc4dd87e14b87ce6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1dd1842a8c344f3aa85c064bca6e7273": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "y",
       "layout": "IPY_MODEL_144bcef8443e4a65a7b9ad9e44599db3",
       "max": 3,
       "min": -1,
       "step": 0.1,
       "style": "IPY_MODEL_1cdc1897309c424fbc4dd87e14b87ce6",
       "value": 1
      }
     },
     "2329877df6d643dfbf1f9626ce58c0d6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "24494ae5f03b4ae7ac74a2734f14f1c9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "27d808b468b54d658d428a6b98ddd115": {
      "model_module": "@jupyter-widgets/controls",
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