Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib widget\n",
    "import ipywidgets as widgets\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def say_my_name(name):\n",
    "    \"\"\"\n",
    "    Print the current widget value in short sentence\n",
    "    \"\"\"\n",
    "    print(f'My name is {name}')\n",
    "     \n",
    "widgets.interact(say_my_name, name=[\"Jim\", \"Emma\", \"Bond\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def say_something(x):\n",
    "    \"\"\"\n",
    "    Print the current widget value in short sentence\n",
    "    \"\"\"\n",
    "    print(f'Widget says: {x}')\n",
    " \n",
    "widgets.interact(say_something, x=[0, 1, 2, 3])\n",
    "widgets.interact(say_something, x=(0, 10, 1))\n",
    "widgets.interact(say_something, x=(0, 10, .5))\n",
    "_ = widgets.interact(say_something, x=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def three(x, y, z):\n",
    "    return (x, y, z)\n",
    " \n",
    "_ = widgets.interact(\n",
    "    three, \n",
    "    x=(0, 10, 1), \n",
    "    y=True, \n",
    "    z=['a', 'b', 'c']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "_ = widgets.interact(\n",
    "    three, \n",
    "    x=(0, 10, 1), \n",
    "    y=True, \n",
    "    z=widgets.fixed('I am fixed')\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "@widgets.interact(x=(0, 10, 1))\n",
    "def foo(x):\n",
    "    \"\"\"\n",
    "    Print the current widget value in short sentence\n",
    "    \"\"\"\n",
    "    print(f'Slider says: {x}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib widget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
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       "model_id": "38353646ae4b4944a0808bf68fe20125",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "model_id": "ae40b472ceaf4be4a1a65c94bfa9a2de",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=1, description='w', max=10), FloatSlider(value=1.0, description='amp', m…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set up plot\n",
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "#ax.set_ylim([-4, 4])\n",
    "ax.grid(True)\n",
    " \n",
    "# generate x values\n",
    "x = np.linspace(0, 2 * np.pi, 1000)\n",
    " \n",
    " \n",
    "def my_sine(x, w, amp, phi):\n",
    "    \"\"\"\n",
    "    Return a sine for x with angular frequeny w and amplitude amp.\n",
    "    \"\"\"\n",
    "    return amp*np.sin(w * (x-phi))\n",
    " \n",
    " \n",
    "@widgets.interact(w=(0, 10, 1), amp=(0, 10, .1), phi=(0, 2*np.pi+0.01, 0.01))\n",
    "def update(w = 1.0, amp=1, phi=0):\n",
    "    \"\"\"Remove old lines from plot and plot new one\"\"\"\n",
    "    [l.remove() for l in ax.lines]\n",
    "    ax.plot(x, my_sine(x, w, amp, phi), color='C0')\n",
    "\n",
    "# output = widgets.Output()\n",
    "# with output:\n",
    "#     plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "model_id": "b074f3f81d0c4a988fd83524d575beaf",
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      },
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      },
      "text/plain": [
       "AppLayout(children=(Canvas(layout=Layout(grid_area='center'), toolbar=Toolbar(toolitems=[('Home', 'Reset origi…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "from mpl_toolkits.mplot3d import axes3d\n",
    "\n",
    "# fig = plt.figure()\n",
    "# ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "# Grab some test data.\n",
    "X, Y, Z = axes3d.get_test_data(0.05)\n",
    "\n",
    "# Plot a basic wireframe.\n",
    "# ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)\n",
    "\n",
    "# plt.show()\n",
    "\n",
    "# ensure we are interactive mode \n",
    "# this is default but if this notebook is executed out of order it may have been turned off\n",
    "plt.ion()\n",
    "\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.gca()\n",
    "ax.imshow(Z)\n",
    "\n",
    "widgets.AppLayout(\n",
    "    center=fig.canvas,\n",
    "#     footer=widgets.Button(icon='check'),\n",
    "    pane_heights=[0, 6, 1]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "model_id": "1b41670e8a3a4684b8390c45ea1ce470",
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      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "ValueError",
     "evalue": "too many values to unpack (expected 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-17-95f93a8376b3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[0mline\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      8\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_xlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'$x_{\\mathrm{t}}$'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: too many values to unpack (expected 1)"
     ]
    }
   ],
   "source": [
    "x = np.linspace(0, 2 * np.pi, 1000)\n",
    "y = np.zeros((len(x),2))\n",
    "y[:,0] = np.sin(x)\n",
    "y[:,1] = np.cos(x)\n",
    " \n",
    "fig, ax = plt.subplots()\n",
    "line, = ax.plot(x, y)\n",
    "ax.grid(True)\n",
    "ax.set_xlabel('$x_{\\mathrm{t}}$')\n",
    "ax.legend(('sin','cos'))\n",
    " \n",
    "def update(change):\n",
    "    line.set_ydata(np.sin(change.new * x))\n",
    "    fig.canvas.draw()\n",
    "     \n",
    "int_slider = widgets.IntSlider(\n",
    "    value=1, \n",
    "    min=0, max=10, step=1,\n",
    "    description='$\\omega$',\n",
    "    continuous_update=True\n",
    ")\n",
    "int_slider.observe(update, 'value')\n",
    "int_slider"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  City  1996  1997  1998  1999\n",
      "0    a     1     4     7     0\n",
      "1    b     2     0     8     5\n",
      "2    c     7     6     6     3\n",
      "3    d     5     3     9     0\n",
      "City  a  b  c  d\n",
      "1996  1  2  7  5\n",
      "1997  4  0  6  3\n",
      "1998  7  8  6  9\n",
      "1999  0  5  3  0\n"
     ]
    },
    {
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       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "AttributeError",
     "evalue": "'AxesSubplot' object has no attribute '__key__'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-17-6eeaf1bfbfd1>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     17\u001b[0m \u001b[1;31m# fig.canvas.toolbar_visible = False\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[1;31m# fig.canvas.capture_scroll = True\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 19\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__key__\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     20\u001b[0m \u001b[1;31m# widgets.HBox([fig.canvas,fig.canvas])\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'AxesSubplot' object has no attribute '__key__'"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import ipywidgets as widgets\n",
    "\n",
    "\n",
    "data = pd.DataFrame({'City':['a','b','c','d'],\n",
    "                            '1996':[1,2,7,5],\n",
    "                            '1997':[4,0,6,3],\n",
    "                            '1998':[7,8,6,9],\n",
    "                            '1999':[0,5,3,0]})\n",
    "\n",
    "print (data)\n",
    "print (data.set_index('City').T)\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = data.set_index('City').T.plot()\n",
    "# fig.canvas.toolbar_visible = False\n",
    "# fig.canvas.capture_scroll = True\n",
    "print(ax.__key__)\n",
    "# widgets.HBox([fig.canvas,fig.canvas])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = range(1, 101)\n",
    "y1 = [random.randint(1, 100) for _ in range(len(x))]\n",
    "y2 = [random.randint(1, 100) for _ in range(len(x))]\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)    # The big subplot\n",
    "ax1 = fig.add_subplot(211)\n",
    "ax2 = fig.add_subplot(212)\n",
    "\n",
    "# Turn off axis lines and ticks of the big subplot\n",
    "ax.spines['top'].set_color('none')\n",
    "ax.spines['bottom'].set_color('none')\n",
    "ax.spines['left'].set_color('none')\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.tick_params(labelcolor='w', top=False, bottom=False, left=False, right=False)\n",
    "\n",
    "ax1.loglog(x, y1)\n",
    "ax2.loglog(x, y2)\n",
    "\n",
    "# Set common labels\n",
    "ax.set_xlabel('common xlabel')\n",
    "ax.set_ylabel('common ylabel')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sl1 = widgets.IntSlider(description='slider 1', min=0, max=10)\n",
    "sl2 = widgets.IntSlider(description='slider 2', min=0, max=10)\n",
    " \n",
    "link = widgets.link(\n",
    "    (sl1, 'value'), \n",
    "    (sl2, 'min')\n",
    ")\n",
    " \n",
    "sl1.value = 5\n",
    "widgets.VBox([sl1, sl2])"
   ]
  }
 ],
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         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis, CTRL fixes aspect",
         "square-o",
         "zoom"
        ],
        [
         "Download",
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