bqplot limits.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "72b952ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "# large data to make draws slow (deliberately)\n",
    "x = np.random.random(20000)\n",
    "y = np.random.random(20000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8bda7fe6",
   "metadata": {},
   "outputs": [
    {
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       "model_id": "16008115de3f4b0a929540f16732426a",
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      "text/plain": [
       "Figure(axes=[Axis(label='x', scale=LinearScale(allow_padding=False, max=10.0, min=0.0)), Axis(label='y', orien…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bqplot import Figure, LinearScale, Axis, Lines\n",
    "scale_x = LinearScale(min=0, max=10, allow_padding=False)\n",
    "scale_y = LinearScale(allow_padding=False)\n",
    "scales = {'x': scale_x, 'y': scale_y}\n",
    "axis_x = Axis(scale=scale_x, label='x')\n",
    "axis_y = Axis(scale=scale_y, label='y', orientation='vertical')\n",
    "line = Lines(x=x, y=y+0.2, scales=scales)\n",
    "figure = Figure(scales=scales, axes=[axis_x, axis_y], marks=[line])\n",
    "figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "70e94513",
   "metadata": {},
   "outputs": [],
   "source": [
    "with scale_x.hold_trait_notifications():\n",
    "    with scale_y.hold_trait_notifications():\n",
    "        scale_x.min = -1\n",
    "        scale_x.max = +12\n",
    "        scale_y.min = -10\n",
    "        scale_y.max = +20"
   ]
  }
 ],
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