docs/examples/try_me_out/freight_pricing_timeseries.ipynb

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  {
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   "source": [
    "### Try out the VortexaSDK"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First let's import our requirements"
   ]
  },
  {
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   "source": [
    "from datetime import datetime\n",
    "import vortexasdk as v"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Average daily WS rate for the TD3C route between 1st and 15th November 2021."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You'll need to enter your Vortexa API key when prompted."
   ]
  },
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   "source": [
    "df = v.FreightPricingTimeseries().search(\n",
    "    routes=[\"TD3C\"],\n",
    "    time_min=datetime(2021, 11, 1),\n",
    "    time_max=datetime(2021, 11, 15),\n",
    "    breakdown_frequency=\"day\",\n",
    "    breakdown_property=\"rate\"\n",
    ").to_df()"
   ]
  },
  {
   "cell_type": "code",
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    "execution": {
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   "outputs": [],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's it! You've successfully loaded data using the Vortexa SDK. Check out https://vortechsa.github.io/python-sdk/ for more examples"
   ]
  }
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