distance_matrix_generator(1).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "\"\"\"\n",
        "my_api_key.txt\n",
        "places.csv -by random_point_generator.py\n",
        "\n",
        "output\n",
        "-distance_matrix.csv\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "wZwG6z45AQu4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "980c4832-8351-4f3e-8ab4-e31a9f724e62"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'\\nmy_api_key.txt\\nplaces.csv -by random_point_generator.py\\n\\noutput\\n-distance_matrix.csv\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Instala Google Maps"
      ],
      "metadata": {
        "id": "1OsBwSQT0yPp"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BjRCTBvWxMWd",
        "outputId": "00cc41eb-8a2b-4587-f4b2-c28e8a1dcce1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting googlemaps\n",
            "  Downloading googlemaps-4.10.0.tar.gz (33 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: requests<3.0,>=2.20.0 in /usr/local/lib/python3.10/dist-packages (from googlemaps) (2.27.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3.0,>=2.20.0->googlemaps) (1.26.15)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3.0,>=2.20.0->googlemaps) (2022.12.7)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests<3.0,>=2.20.0->googlemaps) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3.0,>=2.20.0->googlemaps) (3.4)\n",
            "Building wheels for collected packages: googlemaps\n",
            "  Building wheel for googlemaps (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for googlemaps: filename=googlemaps-4.10.0-py3-none-any.whl size=40718 sha256=9fd9db74b2ca679e9e707e68404b61ed404c91006d5d50afcd74fb4eac2491a3\n",
            "  Stored in directory: /root/.cache/pip/wheels/17/f8/79/999d5d37118fd35d7219ef57933eb9d09886c4c4503a800f84\n",
            "Successfully built googlemaps\n",
            "Installing collected packages: googlemaps\n",
            "Successfully installed googlemaps-4.10.0\n"
          ]
        }
      ],
      "source": [
        "!pip install googlemaps"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Leer llave API de Google Maps"
      ],
      "metadata": {
        "id": "iYURzkuJ042c"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "with open('my_api_key.txt') as f:\n",
        "    api_key = f.readlines()"
      ],
      "metadata": {
        "id": "YiHEUTWL1CE-"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Llama API para obtener distnacia y tiempo de viaje entre dos puntos dados"
      ],
      "metadata": {
        "id": "gDJVUw7t1cRg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import googlemaps\n",
        "from datetime import datetime\n",
        "now = datetime.now()\n",
        "gmaps_client = googlemaps.Client(key=api_key[0])\n",
        "source = \"22.5411, 88.3378\"\n",
        "destination = \"28.66, 77.23\"\n",
        "mode=\"driving\"\n",
        "avoid=\"ferries\"\n",
        "direction_results = gmaps_client.directions(source, destination, mode=mode, avoid=avoid, departure_time=now, transit_mode=\"bus\")\n",
        "\n",
        "print(direction_results[0]['legs'][0]['distance']) # valor en milimetros\n",
        "print(direction_results[0]['legs'][0]['duration']) # valor en minutos\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fhslknxW1Yhy",
        "outputId": "0a7934f1-ffc7-4d2d-b90b-58638cf69977"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'text': '1,547 km', 'value': 1546917}\n",
            "{'text': '1 day 1 hour', 'value': 91498}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Ingresamos matrix de distancias, vacia"
      ],
      "metadata": {
        "id": "i8V_tPg7NcTY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "now = datetime.now()\n",
        "direction_results = gmaps_client.directions(\"Queretaro, amealco, el pinar\", \"cimat monterrey\", mode=\"driving\", avoid=\"ferries\", departure_time=now, transit_mode=\"bus\")\n",
        "\n",
        "print(direction_results[0]['legs'][0]['distance']) # en milimetros\n",
        "print(direction_results[0]['legs'][0]['duration']) # en minutos \n",
        "print(direction_results)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "80b43_u8NbT8",
        "outputId": "b55cce6c-a279-4520-a1e5-c377e50808e5"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'text': '797 km', 'value': 797233}\n",
            "{'text': '9 hours 6 mins', 'value': 32753}\n",
            "[{'bounds': {'northeast': {'lat': 25.7649394, 'lng': -100.0727398}, 'southwest': {'lat': 20.1794804, 'lng': -100.8787319}}, 'copyrights': 'Map data ©2023 INEGI', 'legs': [{'distance': {'text': '797 km', 'value': 797233}, 'duration': {'text': '9 hours 6 mins', 'value': 32753}, 'duration_in_traffic': {'text': '8 hours 49 mins', 'value': 31713}, 'end_address': 'Alianza Centro 502, 66629 N.L., Mexico', 'end_location': {'lat': 25.7625444, 'lng': -100.1136279}, 'start_address': '76850 Amealco de Bonfil, Qro., Mexico', 'start_location': {'lat': 20.1794804, 'lng': -100.1611077}, 'steps': [{'distance': {'text': '0.3 km', 'value': 272}, 'duration': {'text': '1 min', 'value': 46}, 'end_location': {'lat': 20.1786667, 'lng': -100.1635213}, 'html_instructions': 'Head <b>southwest</b> on <b>Cam. Real a Acámbaro</b> toward <b>C. Cam. Real a Coroneo</b>', 'polyline': {'points': 'whdzB|uibR^r@d@hAHTf@pAJVH^BRNnD'}, 'start_location': {'lat': 20.1794804, 'lng': -100.1611077}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '0.9 km', 'value': 868}, 'duration': {'text': '2 mins', 'value': 90}, 'end_location': {'lat': 20.185761, 'lng': -100.1618817}, 'html_instructions': 'Turn <b>right</b> at <b>Cam. Real a Chiteje de la Cruz</b>', 'maneuver': 'turn-right', 'polyline': {'points': 'ucdzB~djbRcAFi@@wDJwCFk@AC?QCeAYUAa@@_@@K@SB_C`@w@Na@DO?C?SCOEk@Ui@]qAiA][[Ww@o@MMgA}@USs@y@'}, 'start_location': {'lat': 20.1786667, 'lng': -100.1635213}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '54 m', 'value': 54}, 'duration': {'text': '1 min', 'value': 10}, 'end_location': {'lat': 20.1861753, 'lng': -100.1616057}, 'html_instructions': 'Slight <b>left</b> at <b>Prol Pino Suárez</b>', 'maneuver': 'turn-slight-left', 'polyline': {'points': '_pezBvzibRsAu@'}, 'start_location': {'lat': 20.185761, 'lng': -100.1618817}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '2.2 km', 'value': 2184}, 'duration': {'text': '3 mins', 'value': 183}, 'end_location': {'lat': 20.1956578, 'lng': -100.1497331}, 'html_instructions': 'Turn <b>right</b> onto <b>Coroneo - San Juan del Rio</b>/<wbr/><b>Prol Pino Suárez</b>/<wbr/><b>San Juan del Rio - Coroneo</b>/<wbr/><b>México 120</b><div style=\"font-size:0.9em\">Continue to follow Coroneo - San Juan del Rio/<wbr/>México 120</div>', 'maneuver': 'turn-right', 'polyline': {'points': 'srezB`yibRk@{IGaAOsBe@sHCm@IeAWoEEi@WeECe@Eo@KgBAEIkBIiACUKqAI_BImAMaBMeBAY?MGyACQMSEKGMEGMK[?UAcDCW@eIv@a@FaAFO@A@UB[FcAPgBVoBVw@Fe@@UAQ?cBMc@Ce@EyCSiAQ'}, 'start_location': {'lat': 20.1861753, 'lng': -100.1616057}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '86 m', 'value': 86}, 'duration': {'text': '1 min', 'value': 11}, 'end_location': {'lat': 20.1963973, 'lng': -100.1494953}, 'html_instructions': 'Continue straight onto <b>Coroneo - San Juan del Rio</b>/<wbr/><b>Roberto Ruiz Obregón</b>/<wbr/><b>México 120</b>', 'maneuver': 'straight', 'polyline': {'points': '{mgzBxngbR]G]Gi@ISGICECIC'}, 'start_location': {'lat': 20.1956578, 'lng': -100.1497331}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '0.2 km', 'value': 172}, 'duration': {'text': '1 min', 'value': 20}, 'end_location': {'lat': 20.1976355, 'lng': -100.1496991}, 'html_instructions': 'At the roundabout, take the <b>3rd</b> exit', 'maneuver': 'roundabout-right', 'polyline': {'points': 'orgzBjmgbR?A?A@??A?A?A?A?A?A?C?A?A?A?AAA?AAAAACCEEECECGAEAEAG?K?C@E?CBC@C@CBABCBOLYNk@R_AZ'}, 'start_location': {'lat': 20.1963973, 'lng': -100.1494953}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '33.4 km', 'value': 33450}, 'duration': {'text': '28 mins', 'value': 1680}, 'end_location': {'lat': 20.4405574, 'lng': -100.0728934}, 'html_instructions': 'Continue onto <b>Coroneo - San Juan del Rio</b>/<wbr/><b>San Juan del Rio - Coroneo</b>/<wbr/><b>México 120</b><div style=\"font-size:0.9em\">Continue to follow Coroneo - San Juan del Rio/<wbr/>México 120</div>', 'polyline': {'points': 'gzgzBrngbRO@kHr@I@mIz@_@D{BTiGl@_Iv@aAL{CZyBRqJ`AC?a@DeAJyAPoAReBX}@P_@FyBb@e@JwDt@WFuDt@yHxAy@NiATqGnAgGhAkMfCc@HkDp@_BZqB^sKvByAXmAT}AXc@H{Cn@]HeDl@qEz@o@JgALc@HoAFgAFm@By@?uIDI?]?mB?_A?_E?aG@}M@s@?k[Bqh@F]AC?kF@gS@yF@A?aC?q@?c@@yH?]C_@Eg@CgD@_BAaE@c@?C?oC?}E@uF?_@?C?iOBqF?iD@I?eC?cAAs@AM?qAE{AEE?q@CWAw@GwAK}@E]?_@Ac@Ei@Em@E_@Cs@IeBYmAQwASUEcAQsASc@IiBYYCSEm@MGA}@Mg@Ik@KSCi@KcFw@qLiBs@MoB[_C]uB_@wCe@oBYo@Mu^yFu@MmB[_Dg@kEq@uAUyB]uB]kAOyASc@EQCaAGuAGoAEu@?cBDiGJA?a@@{FJsA@G?kBB]@aCFc@@wADS?U@M@c@@w@BaAAUAe@A]CG?[Cy@KeASKCa@Kw@S[Ka@Ma@KqEuAqBk@aAYkIcCECg@OuEsAsA_@c@Mw@U}Bs@mAe@IEy@c@]Se@YUSYUCCg@a@g@i@eAoAY]gAuAcCsCuBiCaBuBaAkAwAeBeAsAcAmAa@e@w@cAm@s@gBwBm@u@IIsBuCg@s@W[eC}CiAuAkGyHqCoDoBgCkAuAwBiCcEcFqDmEaD_Ey@aA{@gAwCoD}BuC_BoB}BoCiB{BGGmDkE_BqBKMgDiEu@_AyBkCmDiEoBaCIKiIaK_BsBwEwFwBkC}BqCcBsB}C{DiC}C[a@{D_F[_@W[qBeCyCqD_IsJwAkBe@k@KMsF}GgBwBMQ_@c@a@i@a@e@_@c@oA}Aa@o@IOS_@M]Ma@GUG[ACE[E]C]Ac@A_@Aw@AaAGuCCeAAc@Aa@?QAMAK?ACQCSGOKWKMGGKIOIQIQGWIs@Sq@Se@MICMAUCMCK?QAO@C?K?UBQBSDMDSHQJMJMJONMPOXS\\\\Q`@EFMTINKNIJGFOLYRWJQFKBQDKBQBU@g@@q@BG@s@@cBFS?oITW@u@BkABkADgBDE@U?_@@_@?W?OAMAWCc@GSCIC[ISGQISKSMWQSQ[Y_@a@s@w@_DiDY]Y[]e@QWQWEGWc@i@eAeCyEkA}BIQi@mA[{@Sg@Wu@Y}@WaAAISw@WmAWwAWoAQ_AY{Ay@iEm@}CIa@Q}@YcB]aBMi@M_@Sq@O]Q]Wg@e@q@a@e@{@}@wCoCY[_FwE}@}@sBmBwAuAgFcFUSYYQQiBgBq@o@e@c@wCsCk@k@k@i@KKg@i@qBkBg@e@{AyA[Yu@s@SS}@{@g@_@UK[Ko@Kc@AO?W@]BMBC@E@SF[L]TWRg@d@[XmBhBwCrCcA~@[Z_HzGQPIFoDjDoChCg@d@sEjE{@z@mFdF]\\\\YVuDrDUTqBlBa@^STOP[f@Yp@Md@Kn@Ch@AnAGxC?j@A|AA`AC|ECZGt@Kp@Ol@}@bDGPK`@IV_@hA[|@_@l@c@b@MNYRGD[NEBcCbA_C~@SHeBn@i@N]D_@F]BA?o@Bo@?m@EA?QCQCi@I]Kc@QUIk@YAA}@e@g@Y]SYOu@_@gCsAWO{@a@g@U{@U_@IKCa@Ge@GoACy@@u@BA?yCPg@@o@BQ@M@gFZyAFiBLaCLuDT}@DcG\\\\c@BqDRE?iFXmG\\\\{@FwKj@C@qFZ_BH_@@oDRI@Y@qAH[@{@AA?s@Ek@Im@Qe@OYM{@g@c@_@e@e@QSkAgBoAmBs@eA}DaGkAeBg@w@uAyBa@w@Ys@[}@Ss@]}A?Aa@qBKg@_@iBeAkFOu@i@oCS_AI_@cCmLAGu@}DY_BOu@e@{BMq@YgA_@iAi@iAMUSYGI]]c@e@OKQKi@[sDeB}As@_CgA_Bu@}E{BkB}@ICsLuFwLuFgLiFcHiDeAq@_@_@'}, 'start_location': {'lat': 20.1976355, 'lng': -100.1496991}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '0.2 km', 'value': 212}, 'duration': {'text': '1 min', 'value': 24}, 'end_location': {'lat': 20.4419332, 'lng': -100.0715155}, 'html_instructions': 'At the roundabout, take the <b>2nd</b> exit', 'maneuver': 'roundabout-right', 'polyline': {'points': 'ohw{BpnxaRAE?AACAAAAACAACAAAC??AA?A?AAA?A?A?aBiB_@]OMOQECSQCEYWUW'}, 'start_location': {'lat': 20.4405574, 'lng': -100.0728934}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '23 m', 'value': 23}, 'duration': {'text': '1 min', 'value': 4}, 'end_location': {'lat': 20.4420663, 'lng': -100.071685}, 'html_instructions': 'Turn <b>left</b> toward <b>Autopista México - Querétaro</b>/<wbr/><b>Jurica - San Juan del Rio</b>/<wbr/><b>San Juan del Río-Pedro Escobedo</b>/<wbr/><b>Tuxpan - Mexico</b>/<wbr/><b>México 45</b>/<wbr/><b>México 45D</b>/<wbr/><b>México 57 N</b>', 'maneuver': 'turn-left', 'polyline': {'points': 'aqw{B~exaRKLOP'}, 'start_location': {'lat': 20.4419332, 'lng': -100.0715155}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '20.6 km', 'value': 20644}, 'duration': {'text': '14 mins', 'value': 843}, 'end_location': {'lat': 20.5583722, 'lng': -100.2242705}, 'html_instructions': 'Merge onto <b>Autopista México - Querétaro</b>/<wbr/><b>Jurica - San Juan del Rio</b>/<wbr/><b>San Juan del Río-Pedro Escobedo</b>/<wbr/><b>Tuxpan - Mexico</b>/<wbr/><b>México 45</b>/<wbr/><b>México 45D</b>/<wbr/><b>México 57 N</b> via the ramp to <b>Querétaro</b><div style=\"font-size:0.9em\">Continue to follow Autopista México - Querétaro/<wbr/>Jurica - San Juan del Rio/<wbr/>Tuxpan - Mexico/<wbr/>México 45/<wbr/>México 45D/<wbr/>México 57 N</div>', 'polyline': {'points': 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-100.071685}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '0.9 km', 'value': 948}, 'duration': {'text': '1 min', 'value': 56}, 'end_location': {'lat': 20.5637202, 'lng': -100.2306858}, 'html_instructions': 'Take the <b>México 57D</b> ramp to <b>S Luis Potosí</b>/<wbr/><b>S Miguel de Allende</b><div style=\"font-size:0.9em\">Toll road</div>', 'maneuver': 'ramp-right', 'polyline': {'points': 'yhn|Bt`vbRk@r@W\\\\SVWb@ININS^a@x@CF_@bACFOtAKn@UnA[fBAB_@fBADABAJCFMZKPOTa@f@WRm@d@KDQNiBx@wGnCwAn@gAh@'}, 'start_location': {'lat': 20.5583722, 'lng': -100.2242705}, 'travel_mode': 'DRIVING'}, {'distance': {'text': '20.0 km', 'value': 20029}, 'duration': {'text': '17 mins', 'value': 1017}, 'end_location': {'lat': 20.7062005, 'lng': -100.3444723}, 'html_instructions': 'Continue onto <b>México 57D</b><div style=\"font-size:0.9em\">Toll road</div>', 'polyline': {'points': 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'whdzB|uibRcL~MoQcBoR}rAuw@kAa`Fpt@iuGoEitDu]ekAor@wbBktBeoBqvCwz@tHwxA}_Cai@sBkv@tqAib@jTodAwE_z@pE}ZgYm^cpA_qAmn@ewAb_BgpCrnCy`Dx|DgkCtwEk`BpqCgkBnaDetDpuBwzFluDavAxy@q~FzdEcrGd`JamItqGgrElrD_b@hVwrCejAiqG}hCgfBmu@}~EprAwxMxsDk{B~gBmpEluFaqCvjDy~AnbAcnFjeCccDji@wnLvtAuoI~aAy_AfO}fAfpAguCxiDe_EvyEi~ArmA_xLhrDk|LdhDwfCxbAiz@w@s|Dfa@w_DcBupAylDwkBy_AiqByh@kiDqrC}r@{[alCfXg~DkAodAhaAcw@tgAar@~c@q|@}Wwd@~BmY|m@my@nq@iiBfEqmEfpDutAjpAowAzoBy_Azz@eqEff@iiDdq@irCznAaqGvsC_yAjM_kFmkBufFyi@kyDvK{uEbIs`KgTixL{eCgpC}j@ojF_}AmxAuc@ut@{zAsf@otCqb@klAyvA}kA_~Aa`@cdD}pBmxE{iCcsA_PavGonBcdBeqCueC_fGs`C}|FeeBqoBmcCioA_yDo[iqDyr@}fTcfAw|Jsf@{rDkd@{yAu~Aan@`Bg|TpfE{}p@z`M}k_@ddHaoLxzAciHxr@w_AeRyeDcdDkpDjIkqIfp@__Ru`H_hBoz@u^i~@oiAckCe\\\\kwAgsAiy@qvEgcC{bF}aBkuEksDehI_hCibKotC{jEez@maRgD_iVps@uiJvp@gqEcgCkcD}~CayFcsFu`CenBekCa}@etHciAa|AuYkq@lP}{I~tCgtFl_A{vS|rBu_FrlDudJp|G}|SzzUk_L|jPenLpuN{pCrqCs~ApoC{dAxNuxC~aBwpA`pBsoBt{Csy@rn@uy@uGwxD{l@_x@dj@ueAbp@euB{UivDmWmv@x[qt@dAsS_Zg`@w_@yc@pa@ccA|Po`Ete@wbAzNs|@t}AmaCzlDo}B~pCovC_k@azBwLeiC|RukBtR{t@fk@av@bDqr@su@se@mdB}r@u|Bsk@cbEcdDgfMog@ehC{cA_{Bi`AasC}`BqpDch@clDrQk`Enn@{aFjnCg|J~nAsgDs}@oe@iJqgBiXgaCm^urAhTa_BvCmvAqXer@vLq[bm@g}DhKefAuTqbAqo@}iCwk@oj@uGg`Awi@e}BcVcv@pFa`AoFeh@dQoaAgOimBuQww@lS{tBfNisAc^}NuoFmkAwgDuSs^aP`Uiq@aF_R'}, 'summary': 'Matehuala - Monterrey/Matehuala - Saltillo/México 57', 'warnings': [], 'waypoint_order': []}]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "oT5uKTxxP6Av"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Can I get distance matrix? Pls"
      ],
      "metadata": {
        "id": "oCVZsB3XP74j"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "dir = \"\"\n",
        "places_data = pd.read_csv(dir+\"places.csv\", index_col=\"id\")"
      ],
      "metadata": {
        "id": "Nubml7DmP6Ll"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "places_data"
      ],
      "metadata": {
        "id": "x5n89uI1P6UP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "places = places_data[\"place\"].tolist()\n",
        "lats = places_data[\"lat\"].tolist()\n",
        "lngs = places_data[\"lng\"].tolist()\n"
      ],
      "metadata": {
        "id": "w4dvqSwkP6XT"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from itertools import product\n",
        "places_data = places_data.astype({\"place\": str, \"lat\": str, \"lng\": str})\n",
        "latlng = places_data[\"lat\"].str.cat(places_data[\"lng\"], sep = \" \").tolist()\n",
        "combinations_latlng = list(product(latlng, repeat=2))\n",
        "origins = list(map(lambda x: x[0], combinations_latlng))\n",
        "destinations = list(map(lambda x: x[1], combinations_latlng))\n",
        "distance_matrix = gmaps_client.distance_matrix(origins[:10], destinations[:10], mode=mode)\n",
        "print(distance_matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UtLnFNXHvmjt",
        "outputId": "374e406d-0195-48b9-8d2e-0f4787cf9f82"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'destination_addresses': ['Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Cerro de Mercado 3707, Fierro, 64590 Monterrey, N.L., Mexico', 'Calle Cañon Huasteco 1321, La Conquista, 66369 Santa Catarina, N.L., Mexico', 'Av. Parque Industrial Monterrey 502, Monterrey, 66603 Cd Apodaca, N.L., Mexico', 'S. Bernardo 1305, Residencial San Cristobal 1er Sector, 66478 San Nicolás de los Garza, N.L., Mexico', 'C. Angel Martínez Villarreal 7802, Valle de Santa Lucía, 64140 Monterrey, N.L., Mexico', 'C. de la Huerta 33, San Bernabé IV Sector, 64104 Monterrey, N.L., Mexico', 'Autopista Monterrey-Cadereyta. 1341, 67116 Guadalupe, N.L., Mexico', 'Liverpool 5275, Misión Cumbres, 64348 Monterrey, N.L., Mexico', 'Sin referencia No. 385 SN-I HYLSA, Sin Nombre de Col 7, 66445 San Nicolás de los Garza, N.L., Mexico'], 'origin_addresses': ['Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico', 'Piedad 110, Balcones de Huinala, 66640 Cd Apodaca, N.L., Mexico'], 'rows': [{'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}, {'elements': [{'distance': {'text': '1 m', 'value': 0}, 'duration': {'text': '1 min', 'value': 0}, 'status': 'OK'}, {'distance': {'text': '17.1 km', 'value': 17115}, 'duration': {'text': '26 mins', 'value': 1548}, 'status': 'OK'}, {'distance': {'text': '38.7 km', 'value': 38652}, 'duration': {'text': '49 mins', 'value': 2937}, 'status': 'OK'}, {'distance': {'text': '6.1 km', 'value': 6058}, 'duration': {'text': '14 mins', 'value': 854}, 'status': 'OK'}, {'distance': {'text': '9.9 km', 'value': 9867}, 'duration': {'text': '16 mins', 'value': 961}, 'status': 'OK'}, {'distance': {'text': '27.5 km', 'value': 27469}, 'duration': {'text': '46 mins', 'value': 2736}, 'status': 'OK'}, {'distance': {'text': '29.5 km', 'value': 29475}, 'duration': {'text': '51 mins', 'value': 3036}, 'status': 'OK'}, {'distance': {'text': '6.6 km', 'value': 6611}, 'duration': {'text': '15 mins', 'value': 902}, 'status': 'OK'}, {'distance': {'text': '35.0 km', 'value': 35044}, 'duration': {'text': '44 mins', 'value': 2655}, 'status': 'OK'}, {'distance': {'text': '11.9 km', 'value': 11877}, 'duration': {'text': '21 mins', 'value': 1288}, 'status': 'OK'}]}], 'status': 'OK'}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "destinations"
      ],
      "metadata": {
        "id": "BCRapBd6Xjkw",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d28451dc-09f8-401f-a0f5-28aadf12e02a"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['25.738242724692174 -100.16938639553275',\n",
              " '25.685560398430283 -100.27673871842696',\n",
              " '25.70228892835721 -100.45167267119795',\n",
              " '25.775189994332937 -100.1671983218613',\n",
              " '25.731790858088555 -100.21671631681376',\n",
              " '25.74900159179016 -100.35586499446596',\n",
              " '25.762375703280743 -100.37432307829884',\n",
              " '25.696466160309704 -100.16929359131058',\n",
              " '25.737845502286486 -100.39152242004646',\n",
              " '25.74631945626989 -100.2345441892342',\n",
              " '25.81343447459385 -100.26004642857993',\n",
              " '25.702524634379287 -100.49215237537992',\n",
              " '25.655205569385256 -100.31016774228974',\n",
              " '25.65247919497152 -100.22329329573482',\n",
              " '25.644793399641483 -100.27398611713602',\n",
              " '25.738242724692174 -100.16938639553275',\n",
              " '25.685560398430283 -100.27673871842696',\n",
              " '25.70228892835721 -100.45167267119795',\n",
              " '25.775189994332937 -100.1671983218613',\n",
              " '25.731790858088555 -100.21671631681376',\n",
              " '25.74900159179016 -100.35586499446596',\n",
              " '25.762375703280743 -100.37432307829884',\n",
              " '25.696466160309704 -100.16929359131058',\n",
              " '25.737845502286486 -100.39152242004646',\n",
              " '25.74631945626989 -100.2345441892342',\n",
              " '25.81343447459385 -100.26004642857993',\n",
              " '25.702524634379287 -100.49215237537992',\n",
              " '25.655205569385256 -100.31016774228974',\n",
              " '25.65247919497152 -100.22329329573482',\n",
              " '25.644793399641483 -100.27398611713602',\n",
              " '25.738242724692174 -100.16938639553275',\n",
              " '25.685560398430283 -100.27673871842696',\n",
              " '25.70228892835721 -100.45167267119795',\n",
              " '25.775189994332937 -100.1671983218613',\n",
              " '25.731790858088555 -100.21671631681376',\n",
              " '25.74900159179016 -100.35586499446596',\n",
              " '25.762375703280743 -100.37432307829884',\n",
              " '25.696466160309704 -100.16929359131058',\n",
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              " '25.738242724692174 -100.16938639553275',\n",
              " '25.685560398430283 -100.27673871842696',\n",
              " '25.70228892835721 -100.45167267119795',\n",
              " '25.775189994332937 -100.1671983218613',\n",
              " '25.731790858088555 -100.21671631681376',\n",
              " '25.74900159179016 -100.35586499446596',\n",
              " '25.762375703280743 -100.37432307829884',\n",
              " '25.696466160309704 -100.16929359131058',\n",
              " '25.737845502286486 -100.39152242004646',\n",
              " '25.74631945626989 -100.2345441892342',\n",
              " '25.81343447459385 -100.26004642857993',\n",
              " '25.702524634379287 -100.49215237537992',\n",
              " '25.655205569385256 -100.31016774228974',\n",
              " '25.65247919497152 -100.22329329573482',\n",
              " '25.644793399641483 -100.27398611713602']"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "my_res = distance_matrix[\"rows\"][0][\"elements\"]  \n",
        "len(distance_matrix[\"rows\"][0][\"elements\"])\n",
        "len(distance_matrix[\"rows\"])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ugQPLpjpXjrs",
        "outputId": "0365f2e6-d768-4abb-a7f4-8bfa19acfb75"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "make batches of tens\n"
      ],
      "metadata": {
        "id": "LULtKnXQdRk8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "batches = []\n",
        "n = len(origins)\n",
        "#n=49\n",
        "for i in range((n//10+1)):\n",
        "  if (i+1)*10 > n:\n",
        "    batches.append((origins[i*10: (i+1)*10], destinations[i*10: n]))\n",
        "    break\n",
        "  batches.append((origins[i*10: (i+1)*10], destinations[i*10: (i+1)*10]))"
      ],
      "metadata": {
        "id": "9avoqZ88dP9f"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "get batches distance matrix"
      ],
      "metadata": {
        "id": "h-xFl6nfdUf_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dm_destinations = []\n",
        "dm_origins = []\n",
        "dm_rows = []\n",
        "for batch in batches:\n",
        "  this_res = list(map(lambda x,y: gmaps_client.distance_matrix(x, y, mode=mode), batch[0], batch[1]))\n",
        "  for res in this_res:\n",
        "   dm_destinations.append(res[\"destination_addresses\"][0])\n",
        "   dm_origins.append(res[\"origin_addresses\"][0])\n",
        "   dm_rows.append(res[\"rows\"][0][\"elements\"][0])"
      ],
      "metadata": {
        "id": "e_k0HKqQdNKd"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dm = pd.DataFrame()\n",
        "dm[\"destinations\"]=dm_destinations\n",
        "dm[\"origins\"]=dm_origins\n",
        "dm[\"rows\"]=dm_rows"
      ],
      "metadata": {
        "id": "5QH3WKhkdNOq"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#dm.to_csv(\"distance_matrix_ish.csv\")\n",
        "dm"
      ],
      "metadata": {
        "id": "L1HtXjFpdNSJ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "7f3b298a-d06e-4ccb-a347-01d7e9716039"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                          destinations  \\\n",
              "0    Piedad 110, Balcones de Huinala, 66640 Cd Apod...   \n",
              "1    Cerro de Mercado 3707, Fierro, 64590 Monterrey...   \n",
              "2    Calle Cañon Huasteco 1321, La Conquista, 66369...   \n",
              "3    Av. Parque Industrial Monterrey 502, Monterrey...   \n",
              "4    S. Bernardo 1305, Residencial San Cristobal 1e...   \n",
              "..                                                 ...   \n",
              "220  Jdn. del Atardecer 259, Jardines de Monterrey ...   \n",
              "221  Av. Industria del Vidrio 224, Parque Industria...   \n",
              "222  Prol Coahuila 919, Independencia, 64720 Monter...   \n",
              "223  Cerro del Peñón 3504, Encinos de La Silla, 671...   \n",
              "224  C. Cabo San Lucas 3632, Rincón de La Primavera...   \n",
              "\n",
              "                                               origins  \\\n",
              "0    Piedad 110, Balcones de Huinala, 66640 Cd Apod...   \n",
              "1    Piedad 110, Balcones de Huinala, 66640 Cd Apod...   \n",
              "2    Piedad 110, Balcones de Huinala, 66640 Cd Apod...   \n",
              "3    Piedad 110, Balcones de Huinala, 66640 Cd Apod...   \n",
              "4    Piedad 110, Balcones de Huinala, 66640 Cd Apod...   \n",
              "..                                                 ...   \n",
              "220  C. Cabo San Lucas 3632, Rincón de La Primavera...   \n",
              "221  C. Cabo San Lucas 3632, Rincón de La Primavera...   \n",
              "222  C. Cabo San Lucas 3632, Rincón de La Primavera...   \n",
              "223  C. Cabo San Lucas 3632, Rincón de La Primavera...   \n",
              "224  C. Cabo San Lucas 3632, Rincón de La Primavera...   \n",
              "\n",
              "                                                  rows  \n",
              "0    {'distance': {'text': '1 m', 'value': 0}, 'dur...  \n",
              "1    {'distance': {'text': '17.1 km', 'value': 1711...  \n",
              "2    {'distance': {'text': '38.7 km', 'value': 3865...  \n",
              "3    {'distance': {'text': '6.1 km', 'value': 6058}...  \n",
              "4    {'distance': {'text': '9.9 km', 'value': 9867}...  \n",
              "..                                                 ...  \n",
              "220  {'distance': {'text': '25.2 km', 'value': 2522...  \n",
              "221  {'distance': {'text': '26.8 km', 'value': 2678...  \n",
              "222  {'distance': {'text': '7.7 km', 'value': 7668}...  \n",
              "223  {'distance': {'text': '7.5 km', 'value': 7537}...  \n",
              "224  {'distance': {'text': '1 m', 'value': 0}, 'dur...  \n",
              "\n",
              "[225 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-88a0aa89-e020-44f9-8736-1ae6ebd2bf4a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>destinations</th>\n",
              "      <th>origins</th>\n",
              "      <th>rows</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Piedad 110, Balcones de Huinala, 66640 Cd Apod...</td>\n",
              "      <td>Piedad 110, Balcones de Huinala, 66640 Cd Apod...</td>\n",
              "      <td>{'distance': {'text': '1 m', 'value': 0}, 'dur...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Cerro de Mercado 3707, Fierro, 64590 Monterrey...</td>\n",
              "      <td>Piedad 110, Balcones de Huinala, 66640 Cd Apod...</td>\n",
              "      <td>{'distance': {'text': '17.1 km', 'value': 1711...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Calle Cañon Huasteco 1321, La Conquista, 66369...</td>\n",
              "      <td>Piedad 110, Balcones de Huinala, 66640 Cd Apod...</td>\n",
              "      <td>{'distance': {'text': '38.7 km', 'value': 3865...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Av. Parque Industrial Monterrey 502, Monterrey...</td>\n",
              "      <td>Piedad 110, Balcones de Huinala, 66640 Cd Apod...</td>\n",
              "      <td>{'distance': {'text': '6.1 km', 'value': 6058}...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>S. Bernardo 1305, Residencial San Cristobal 1e...</td>\n",
              "      <td>Piedad 110, Balcones de Huinala, 66640 Cd Apod...</td>\n",
              "      <td>{'distance': {'text': '9.9 km', 'value': 9867}...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>220</th>\n",
              "      <td>Jdn. del Atardecer 259, Jardines de Monterrey ...</td>\n",
              "      <td>C. Cabo San Lucas 3632, Rincón de La Primavera...</td>\n",
              "      <td>{'distance': {'text': '25.2 km', 'value': 2522...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>221</th>\n",
              "      <td>Av. Industria del Vidrio 224, Parque Industria...</td>\n",
              "      <td>C. Cabo San Lucas 3632, Rincón de La Primavera...</td>\n",
              "      <td>{'distance': {'text': '26.8 km', 'value': 2678...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>222</th>\n",
              "      <td>Prol Coahuila 919, Independencia, 64720 Monter...</td>\n",
              "      <td>C. Cabo San Lucas 3632, Rincón de La Primavera...</td>\n",
              "      <td>{'distance': {'text': '7.7 km', 'value': 7668}...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>223</th>\n",
              "      <td>Cerro del Peñón 3504, Encinos de La Silla, 671...</td>\n",
              "      <td>C. Cabo San Lucas 3632, Rincón de La Primavera...</td>\n",
              "      <td>{'distance': {'text': '7.5 km', 'value': 7537}...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>224</th>\n",
              "      <td>C. Cabo San Lucas 3632, Rincón de La Primavera...</td>\n",
              "      <td>C. Cabo San Lucas 3632, Rincón de La Primavera...</td>\n",
              "      <td>{'distance': {'text': '1 m', 'value': 0}, 'dur...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>225 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-88a0aa89-e020-44f9-8736-1ae6ebd2bf4a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-88a0aa89-e020-44f9-8736-1ae6ebd2bf4a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-88a0aa89-e020-44f9-8736-1ae6ebd2bf4a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dist_cost = 1\n",
        "time_cost = 0.1\n",
        "def get_cost(res_dict, dist_cost=1, time_cost=0.1):\n",
        "  cost = 0\n",
        "  cost += dist_cost*res_dict['distance']['value']\n",
        "  cost += time_cost*res_dict['duration']['value']\n",
        "  return cost"
      ],
      "metadata": {
        "id": "AyRj5R8KqnH-"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dm_rows = list(map(get_cost, dm_rows))"
      ],
      "metadata": {
        "id": "Qow-YUnsr3E3"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dm=[[] for i in range(len(latlng))]\n",
        "for i in range(len(dm_rows)):\n",
        "  dm[i // len(latlng)].append(dm_rows[i])\n"
      ],
      "metadata": {
        "id": "ItYnRHVWsaqn"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pd.DataFrame(dm).to_csv(\"distance_matrix.csv\")\n",
        "dm"
      ],
      "metadata": {
        "id": "QStrlqMstHeG"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}