{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Try out the VortexaSDK"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First let's import our requirements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-12-29T16:41:45.923895Z",
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     "shell.execute_reply": "2020-12-29T16:41:46.445866Z"
    }
   },
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import vortexasdk as v"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's load a dataframe of cargo movements that loaded at the start of August, 2017."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You'll need to enter your Vortexa API key when prompted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-12-29T16:41:46.453677Z",
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     "shell.execute_reply": "2020-12-29T16:41:50.551095Z"
    }
   },
   "outputs": [],
   "source": [
    "df = v.CargoMovements()\\\n",
    "    .search(filter_activity='loading_state',\n",
    "        filter_time_min=datetime(2017, 8, 1),\n",
    "        filter_time_max=datetime(2017, 8, 2))\\\n",
    "    .to_df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-12-29T16:41:50.562065Z",
     "iopub.status.busy": "2020-12-29T16:41:50.561348Z",
     "iopub.status.idle": "2020-12-29T16:41:50.576344Z",
     "shell.execute_reply": "2020-12-29T16:41:50.576779Z"
    }
   },
   "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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