{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "flex_title = \"bqplot single\"\n",
    "flex_author = \"built using jupyter-flex\"\n",
    "flex_source_link = \"https://github.com/danielfrg/jupyter-flex/blob/master/examples/plots/bqplot-single.ipynb\"\n",
    "flex_include_source = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from bqplot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "source"
    ]
   },
   "outputs": [],
   "source": [
    "size = 100\n",
    "np.random.seed(42)\n",
    "\n",
    "x_data = range(size)\n",
    "y_data = np.random.randn(size)\n",
    "y_data_2 = np.random.randn(size)\n",
    "y_data_3 = np.cumsum(np.random.randn(size) * 100.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "body"
    ]
   },
   "outputs": [],
   "source": [
    "x_ord = OrdinalScale()\n",
    "y_sc = LinearScale()\n",
    "\n",
    "bar = Bars(x=np.arange(10), y=np.random.rand(10), scales={'x': x_ord, 'y': y_sc})\n",
    "ax_x = Axis(scale=x_ord)\n",
    "ax_y = Axis(scale=y_sc, tick_format='0.2f', orientation='vertical')\n",
    "\n",
    "Figure(marks=[bar], axes=[ax_x, ax_y], padding_x=0.025, padding_y=0.025)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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