2019-07-10-SciPy-voila/01-bqplot.ipynb

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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bqplot import pyplot as plt\n",
    "import ipywidgets as widgets\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# generate some fake \n",
    "n = 2000\n",
    "x = np.linspace(0.0, 10.0, n)\n",
    "np.random.seed(0)\n",
    "y = np.cumsum(np.random.randn(n)*10).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig_hist = plt.figure( title='Histogram at Scipy')\n",
    "hist = plt.hist(y, bins=25)\n",
    "fig_hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "hist.bins = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "slider = widgets.IntSlider(min=1, max=100, v_model=30)\n",
    "slider"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": [
    "slider.value;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "widgets.link((hist, 'bins'), (slider, 'value'));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig_lines = plt.figure( title='Line Chart')\n",
    "lines = plt.plot(x, y)\n",
    "fig_lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "selector = plt.brush_int_selector()\n",
    "def update_range(*ignore):\n",
    "    if selector.selected is not None and len(selector.selected) == 2:\n",
    "        xmin, xmax = selector.selected\n",
    "        mask = (x > xmin) & (x < xmax)\n",
    "        hist.sample = y[mask]\n",
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