{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%python\n",
    "import pandas as pd\n",
    "from beakerx.object import beakerx\n",
    "df = pd.read_csv('../resources/data/interest-rates.csv')\n",
    "df = df.set_index('time')\n",
    "beakerx.rates = df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display pandas in python:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%python\n",
    "beakerx.rates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display pandas in groovy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "beakerx.rates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%python\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from beakerx.object import beakerx\n",
    "a=pd.DataFrame(np.random.rand(10,5),columns=['c'+str(i) for i in range(5)])\n",
    "a = a.set_index('c0',append=True)\n",
    "beakerx.rates = a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display pandas in python:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%python\n",
    "beakerx.rates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display pandas in groovy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "beakerx.rates"
   ]
  }
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