Salesforce.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9392c420-011a-4b5f-8967-baddbd8d1c02",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime as dt\n",
    "\n",
    "import os\n",
    "import sys\n",
    "import re\n",
    "\n",
    "from simple_salesforce import Salesforce, SalesforceLogin\n",
    "import requests\n",
    "from io import StringIO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0bdee36d-f010-4531-9a9b-bba37817ae22",
   "metadata": {},
   "outputs": [],
   "source": [
    "idx = pd.IndexSlice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f06d089f-777b-4634-8f0a-bc09980860a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.path.dirname(sys.executable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "562b35fc-df18-415d-b112-a6f108e9106f",
   "metadata": {},
   "outputs": [],
   "source": [
    "password = os.environ.get(\"PW_SFDC\")\n",
    "security_token = os.environ.get(\"SEC_TOKEN_SFDC\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b69b5fda-3e35-4551-af40-f79877f06e7c",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "35a1982c-3ee5-4db9-8b56-6e74333639ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9a416f12-84e2-461b-99dc-b6c18a556769",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "ename": "SalesforceAuthenticationFailed",
     "evalue": "INVALID_SSO_GATEWAY_URL: the single sign on gateway url for the org is invalid",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mSalesforceAuthenticationFailed\u001b[0m            Traceback (most recent call last)",
      "Input \u001b[1;32mIn [3]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m sf \u001b[38;5;241m=\u001b[39m \u001b[43mSalesforce\u001b[49m\u001b[43m(\u001b[49m\u001b[43minstance_url\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhttps://wktaaeu.my.salesforce.com\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43musername\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mRaffaele.Sportiello@wolterskluwer.com\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpassword\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msalesforce_pw\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msecurity_token\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msalesforce_sec_token\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32m~\\Anaconda3\\lib\\site-packages\\simple_salesforce\\api.py:146\u001b[0m, in \u001b[0;36mSalesforce.__init__\u001b[1;34m(self, username, password, security_token, session_id, instance, instance_url, organizationId, version, proxies, session, client_id, domain, consumer_key, consumer_secret, privatekey_file, privatekey, parse_float, object_pairs_hook)\u001b[0m\n\u001b[0;32m    135\u001b[0m     \u001b[38;5;66;03m# Pass along the username/password to our login helper\u001b[39;00m\n\u001b[0;32m    136\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_salesforce_login_partial \u001b[38;5;241m=\u001b[39m partial(\n\u001b[0;32m    137\u001b[0m         SalesforceLogin,\n\u001b[0;32m    138\u001b[0m         session\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    144\u001b[0m         client_id\u001b[38;5;241m=\u001b[39mclient_id,\n\u001b[0;32m    145\u001b[0m         domain\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdomain)\n\u001b[1;32m--> 146\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_refresh_session\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    148\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mall\u001b[39m(arg \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m (\n\u001b[0;32m    149\u001b[0m         session_id, instance \u001b[38;5;129;01mor\u001b[39;00m instance_url)):\n\u001b[0;32m    150\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mauth_type \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdirect\u001b[39m\u001b[38;5;124m\"\u001b[39m\n",
      "File \u001b[1;32m~\\Anaconda3\\lib\\site-packages\\simple_salesforce\\api.py:275\u001b[0m, in \u001b[0;36mSalesforce._refresh_session\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    270\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_salesforce_login_partial \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    271\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[0;32m    272\u001b[0m         \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe simple_salesforce session can not refreshed if a \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m    273\u001b[0m         \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msession id has been provided.\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m    274\u001b[0m         )\n\u001b[1;32m--> 275\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession_id, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msf_instance \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_salesforce_login_partial\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    276\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_generate_headers()\n",
      "File \u001b[1;32m~\\Anaconda3\\lib\\site-packages\\simple_salesforce\\login.py:223\u001b[0m, in \u001b[0;36mSalesforceLogin\u001b[1;34m(username, password, security_token, organizationId, sf_version, proxies, session, client_id, domain, consumer_key, consumer_secret, privatekey_file, privatekey)\u001b[0m\n\u001b[0;32m    215\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m SalesforceAuthenticationFailed(except_code, except_msg)\n\u001b[0;32m    217\u001b[0m login_soap_request_headers \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m    218\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcontent-type\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtext/xml\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m    219\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcharset\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mUTF-8\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m    220\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSOAPAction\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlogin\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m    221\u001b[0m     }\n\u001b[1;32m--> 223\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msoap_login\u001b[49m\u001b[43m(\u001b[49m\u001b[43msoap_url\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogin_soap_request_body\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    224\u001b[0m \u001b[43m                  \u001b[49m\u001b[43mlogin_soap_request_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msession\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32m~\\Anaconda3\\lib\\site-packages\\simple_salesforce\\login.py:237\u001b[0m, in \u001b[0;36msoap_login\u001b[1;34m(soap_url, request_body, headers, proxies, session)\u001b[0m\n\u001b[0;32m    233\u001b[0m     except_code \u001b[38;5;241m=\u001b[39m getUniqueElementValueFromXmlString(\n\u001b[0;32m    234\u001b[0m         response\u001b[38;5;241m.\u001b[39mcontent, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msf:exceptionCode\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m    235\u001b[0m     except_msg \u001b[38;5;241m=\u001b[39m getUniqueElementValueFromXmlString(\n\u001b[0;32m    236\u001b[0m         response\u001b[38;5;241m.\u001b[39mcontent, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msf:exceptionMessage\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m--> 237\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m SalesforceAuthenticationFailed(except_code, except_msg)\n\u001b[0;32m    239\u001b[0m session_id \u001b[38;5;241m=\u001b[39m getUniqueElementValueFromXmlString(\n\u001b[0;32m    240\u001b[0m     response\u001b[38;5;241m.\u001b[39mcontent, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msessionId\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m    241\u001b[0m server_url \u001b[38;5;241m=\u001b[39m getUniqueElementValueFromXmlString(\n\u001b[0;32m    242\u001b[0m     response\u001b[38;5;241m.\u001b[39mcontent, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mserverUrl\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "\u001b[1;31mSalesforceAuthenticationFailed\u001b[0m: INVALID_SSO_GATEWAY_URL: the single sign on gateway url for the org is invalid"
     ]
    }
   ],
   "source": [
    "sf = Salesforce(instance_url= \"https://wktaaeu.my.salesforce.com\", username='Raffaele.Sportiello@wolterskluwer.com', password=pw.salesforce_pw, security_token=pw.salesforce_sec_token)\n",
    "#, domain=\"wktaaeu\" password='Cambiami!'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a1ab869-af7b-4959-b55e-3992c84ab387",
   "metadata": {},
   "source": [
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3418b064-8883-47db-bdc5-f554b307218e",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c68c086-9560-4566-a0fb-53557f1061cd",
   "metadata": {
    "tags": []
   },
   "source": [
    "<a id='account_with_assets'></a>\n",
    "# Account with assets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0042ba3a-129e-449b-aa94-753767fece50",
   "metadata": {},
   "source": [
    "[Vai all'indice](#top)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "78ad97e2-682a-469f-b1a5-6f3dada05147",
   "metadata": {},
   "outputs": [],
   "source": [
    "clienti = pd.read_csv(r\"C:\\Users\\Raffaele.Sportiello\\OneDrive - Wolters Kluwer\\Documents\\Salesforce\\Data export\\IT_all_accounts.csv\", encoding='latin-1', sep=\";\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ca01b554-eadc-45cf-8b26-c45132205f56",
   "metadata": {},
   "outputs": [],
   "source": [
    "clienti.drop_duplicates(subset=[\"WK Account Number\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "08e8621a-4c19-4afa-8ed9-409f593bc04d",
   "metadata": {},
   "outputs": [],
   "source": [
    "clienti[\"Cliente Merce\"] = clienti[\"WK Account Number\"].str.split(\"-\", expand=True)[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "4a85d096-0b79-4701-a490-e24097dcc3e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1470140 entries, 0 to 1470139\n",
      "Data columns (total 14 columns):\n",
      " #   Column                    Non-Null Count    Dtype  \n",
      "---  ------                    --------------    -----  \n",
      " 0   Owner Role                398527 non-null   object \n",
      " 1   WK Asset Provided By      1469801 non-null  object \n",
      " 2   WK Account Number         1470139 non-null  object \n",
      " 3   Account Name              1470140 non-null  object \n",
      " 4   Active                    1470140 non-null  int64  \n",
      " 5   Type                      1470140 non-null  object \n",
      " 6   Employees                 31 non-null       float64\n",
      " 7   Created Date              1470140 non-null  object \n",
      " 8   Last Activity             518436 non-null   object \n",
      " 9   Shipping Street           1470139 non-null  object \n",
      " 10  Shipping Zip/Postal Code  1470139 non-null  float64\n",
      " 11  Shipping City             1470139 non-null  object \n",
      " 12  Shipping State/Province   1400914 non-null  object \n",
      " 13  VAT Number                1469741 non-null  object \n",
      "dtypes: float64(2), int64(1), object(11)\n",
      "memory usage: 157.0+ MB\n"
     ]
    }
   ],
   "source": [
    "clienti.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36288440-b07c-47d6-8e27-56d43cfccf70",
   "metadata": {},
   "source": [
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5b39871-f605-4f6b-9ff5-d8f04082afe6",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f1cb73e-3dd7-4b6a-bac0-bff8d8a0daf1",
   "metadata": {
    "tags": []
   },
   "source": [
    "<a id='charts'></a>\n",
    "# Charts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a4ca476-fcd1-4f87-bbe4-c3d55fbb0eee",
   "metadata": {},
   "source": [
    "[Vai all'indice](#top)  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56509057-fa0e-4b73-881e-b3a07996862d",
   "metadata": {},
   "source": [
    "## Opportunities infos - Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cbfb9cd7-1888-4e64-9796-78d271df6d93",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import dates as mpl_dates\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7785626d-6201-41f3-9b0c-5993dc1d8270",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.graph_objects as go"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "868ebcff-1372-4f67-9855-2c0cb2bb81bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "opp_stage_rate = op_infos_gr.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82ccfa8e-5349-4555-91ee-a478022cb228",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "gridsize = (4, 3)\n",
    "fig = plt.figure(figsize=(16, 12))\n",
    "ax1 = plt.subplot2grid(gridsize, (0, 0), colspan=2, rowspan=2)\n",
    "ax2 = plt.subplot2grid(gridsize, (0, 2), colspan=1, rowspan=2)\n",
    "ax3 = plt.subplot2grid(gridsize, (2, 0))\n",
    "ax4 = plt.subplot2grid(gridsize, (2, 1))\n",
    "ax5 = plt.subplot2grid(gridsize, (2, 2))\n",
    "ax6 = plt.subplot2grid(gridsize, (3, 0))\n",
    "ax7 = plt.subplot2grid(gridsize, (3, 1))\n",
    "ax8 = plt.subplot2grid(gridsize, (3, 2))\n",
    "\n",
    "ax1.set_title('Home value as a function of home age & area population', fontsize=14)\n",
    "sctr1 = ax1.scatter(x=opp_stage_rate.loc[:,\"Created Date\"], y=opp_stage_rate.loc[:,\"Close Date\"], s=opp_stage_rate.loc[:,\"% Stage Rate\"]*1000, c=opp_stage_rate.loc[:,\"Incremental Amount\"], cmap='Greens', alpha=0.7)\n",
    "cbar = plt.colorbar(sctr1, ax=ax1)\n",
    "cbar.set_label('Intensità')\n",
    "ax1.xaxis.set_major_locator(mpl_dates.MonthLocator())\n",
    "ax1.xaxis.set_minor_locator(mpl_dates.MonthLocator())\n",
    "ax1.yaxis.set_major_locator(mpl_dates.MonthLocator())\n",
    "ax1.yaxis.set_minor_locator(mpl_dates.MonthLocator())\n",
    "\n",
    "sctr2 = ax2.scatter(x=opp_stage_rate.loc[opp_stage_rate[\"Stage\"] == \"Closed Won\",\"Created Date\"], y=opp_stage_rate.loc[opp_stage_rate[\"Stage\"] == \"Closed Won\",\"Close Date\"], s=opp_stage_rate.loc[opp_stage_rate[\"Stage\"] == \"Closed Won\",\"% Stage Rate\"]*1000, c=opp_stage_rate.loc[opp_stage_rate[\"Stage\"] == \"Closed Won\",\"Incremental Amount\"], cmap='Greens', alpha=0.7)\n",
    "ax2.xaxis.set_major_locator(mpl_dates.MonthLocator())\n",
    "ax2.xaxis.set_minor_locator(mpl_dates.MonthLocator())\n",
    "ax2.yaxis.set_major_locator(mpl_dates.MonthLocator())\n",
    "ax2.yaxis.set_minor_locator(mpl_dates.MonthLocator())\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show();\n",
    "fig.savefig(r\"C:\\Users\\Raffaele.Sportiello\\OneDrive - Wolters Kluwer\\Documents\\fig.png\")\n",
    "#ax1.scatter(opp_stage_rate.loc[:,\"opp_stage_rate\"],)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31c4dcad-4ef5-41a5-9f53-c8052b8f5322",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "plt.style.use('ggplot')\n",
    "\n",
    "\n",
    "plt.scatter(opp_stage_rate[\"Created Date\"].astype('datetime64[M]'), opp_stage_rate[\"Close Date\"].astype('datetime64[M]'), opp_stage_rate[\"Opportunity Name\"], opp_stage_rate[\"Incremental Amount\"], cmap=\"Greens\",edgecolor=\"black\", alpha=0.7 )\n",
    "\n",
    "cbar = plt.colorbar()\n",
    "cbar.set_label('Intensità')\n",
    "\n",
    "plt.gcf().autofmt_xdate()\n",
    "date_format = mpl_dates.DateFormatter(\"%b, %y\")  # Classe del modulo mpl_dates alla quale passo il formato di data desiderato\n",
    "plt.gca().xaxis.set_major_formatter(date_format) #gca --> \"get current axis\"\n",
    "\n",
    "plt.title('Opportunità Lifecycle')\n",
    "plt.xlabel('Created Date')\n",
    "plt.ylabel('Close Date')\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3858cc72-7556-445a-bcd8-c98678a8f614",
   "metadata": {},
   "source": [
    "## Lead - Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ce071c56-5411-4cf6-89f2-87e846c57907",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = g_status[\"Lead ID\"].nunique().reset_index().rename(columns={\"Lead ID\":\"N.Lead\"})\n",
    "\n",
    "plt.style.use(\"fivethirtyeight\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "fig.set_facecolor(\"white\")\n",
    "\n",
    "hbar= ax.barh(df[\"Lead Status cat\"], df[\"N.Lead\"])\n",
    "ax.invert_yaxis()\n",
    "ax.set_facecolor(\"white\")\n",
    "ax.set_title(\"Numero di lead\", pad=30)\n",
    "plt.tight_layout()\n",
    "plt.show();\n",
    "fig.savefig(r\"C:\\Users\\Raffaele.Sportiello\\OneDrive - Wolters Kluwer\\Documents\\Salesforce\\Reports\\numero_lead.png\", facecolor=fig.get_facecolor(), transparent=True, dpi=300, bbox_inches = \"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "375cbf33-42a2-496e-b800-30d88072222e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = g_status[\"Lead Age\"].mean().reset_index()\n",
    "\n",
    "plt.style.use(\"fivethirtyeight\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "fig.set_facecolor(\"white\")\n",
    "\n",
    "hbar= ax.barh(df[\"Lead Status cat\"], df[\"Lead Age\"], height=0.5)\n",
    "ax.invert_yaxis()\n",
    "ax.set_facecolor(\"white\")\n",
    "ax.set_title(\"Durata media delle lead\", pad=30)\n",
    "plt.tight_layout()\n",
    "plt.show();\n",
    "fig.savefig(r\"C:\\Users\\Raffaele.Sportiello\\OneDrive - Wolters Kluwer\\Documents\\Salesforce\\Reports\\durata_lead.png\", facecolor=fig.get_facecolor(), transparent=True, dpi=300, bbox_inches = \"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "449ebf8b-f9be-4eba-83a9-9d63b726b94f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = lead_op.loc[lead_op[\"Owner Role Name\"].isin(tm), [\"Lead Age\", \"Owner Role Name\",\"Lead ID\"]].groupby([\"Lead Age\", \"Owner Role Name\"], as_index=False).count()\n",
    "df[\"Color\"] = df[\"Owner Role Name\"].map({\"IT Central & South Sales Team\":0, \"IT North East Sales Team\":1, \"IT North West Sales Team\":2, \"IT Enterprise Specialists Sales Team\":3})\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "cs = ax.scatter(x=df.loc[df[\"Owner Role Name\"].str.contains(\"South\"),\"Lead Age\"], y=df.loc[df[\"Owner Role Name\"].str.contains(\"South\"),\"Lead ID\"], c=\"#005F73\")\n",
    "ne = ax.scatter(x=df.loc[df[\"Owner Role Name\"].str.contains(\"North East\"),\"Lead Age\"], y=df.loc[df[\"Owner Role Name\"].str.contains(\"North East\"),\"Lead ID\"], c=\"#0A9396\")\n",
    "nw = ax.scatter(x=df.loc[df[\"Owner Role Name\"].str.contains(\"North West\"),\"Lead Age\"], y=df.loc[df[\"Owner Role Name\"].str.contains(\"North West\"),\"Lead ID\"], c=\"#94D2BD\")\n",
    "en = ax.scatter(x=df.loc[df[\"Owner Role Name\"].str.contains(\"Enterprise\"),\"Lead Age\"], y=df.loc[df[\"Owner Role Name\"].str.contains(\"Enterprise\"),\"Lead ID\"], c=\"#E9D8A6\")\n",
    "\n",
    "ax.set_yscale('log')\n",
    "\n",
    "plt.legend((cs, ne, nw, en),\n",
    "           ('South', 'North East', 'North West', 'Enterprise'),\n",
    "           scatterpoints=1,\n",
    "           loc='upper right',\n",
    "           ncol=2,\n",
    "           fontsize=12)\n",
    "\n",
    "ax.set_title(\"Anzianità delle lead per numerosità\")\n",
    "\n",
    "fig.set_facecolor(\"white\")\n",
    "\n",
    "#c=df[\"Owner Role Name\"].astype('category').cat.codes\n",
    "#legend1 = ax.legend(*scatter.legend_elements(), loc=\"upper right\", title=\"TM\")\n",
    "#ax.add_artist(legend1)\n",
    "\n",
    "#plt.tight_layout()\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "62abcc7a-b1d5-4984-9904-65332bb6e9c5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "b2380c21-947c-4a77-a2d8-b7c013493695",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_lead_owner_role = lead_op.groupby([\"Owner Role Name\"])[\"Lead ID\"].transform(\"size\")\n",
    "tm =[\"IT Central & South Sales Team\", \"IT Enterprise Specialists Sales Team\", \"IT Large Account Sales Team\", \"IT Large Accounts-Enterprise Specialists\", \"IT North East Sales Team\", \"IT North West Sales Team\"]\n",
    "\n",
    "status = [\"MQL\",\"SQL\",\"Rejected\"]\n",
    "filt = ((lead_op[\"Lead Status\"].isin(status))  & (n_lead_owner_role>=0)) & lead_op[\"Owner Role Name\"].isin(tm)\n",
    "#& lead_op[\"Owner Role Name\"].isin(tm)\n",
    "\n",
    "lead_owner_status = lead_op.loc[filt, [\"Lead Status\", \"Owner Role Name\",\"Lead ID\"]].groupby([\"Lead Status\", \"Owner Role Name\"], dropna=False).count().unstack(level=(1))\n",
    "owner = lead_owner_status.columns.droplevel(level=0).to_list()\n",
    "status = lead_owner_status.index.to_list()\n",
    "lead = lead_owner_status.to_numpy()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(21,9))\n",
    "\n",
    "#cmap=sns.diverging_palette(145, 145, s=60, l=60, sep=50, n=100)\n",
    "\n",
    "fmt=',.0f'\n",
    "cmap = sns.cm.rocket_r\n",
    "\n",
    "sns.heatmap(lead, xticklabels=owner, yticklabels=status, annot=True, fmt=fmt, cmap=cmap, cbar=True, square=False,linewidths=.5)\n",
    "fig.set_facecolor(\"white\")\n",
    "\n",
    "#ax.set_ylim(0, len(status))\n",
    "ax.set_xlabel(\"TM\", labelpad=20)\n",
    "ax.set_ylabel(\"Status\", labelpad=20)\n",
    "ax.tick_params(axis='both', which='both', pad=20, labelsize=10, rotation=0)\n",
    "\n",
    "plt.setp(ax.get_xticklabels(), rotation=30, ha=\"right\")\n",
    "\n",
    "ax.set_title(\"Numero lead per TM\", size=30, pad=20)\n",
    "\n",
    "plt.show();\n",
    "fig.savefig(r\"C:\\Users\\Raffaele.Sportiello\\OneDrive - Wolters Kluwer\\Documents\\Salesforce\\Reports\\numero_lead_solo_TM_2022.png\", facecolor=fig.get_facecolor(), transparent=True, dpi=300, bbox_inches = \"tight\")\n",
    "lead_owner_status.to_excel(r\"C:\\Users\\Raffaele.Sportiello\\OneDrive - Wolters Kluwer\\Documents\\Salesforce\\Reports\\numero_lead_solo_TM_2022.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "49c91426-0401-4775-9d5e-f449e82d1a4a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "18ddccdd-ba0d-4ef8-adda-123bfcc32468",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_lead_owner_role = lead_op.groupby([\"Owner Role Name\"])[\"Lead ID\"].transform(\"size\")\n",
    "#tm =[\"IT Central & South Sales Team\",\"IT North East Sales Team\",\"IT North West Sales Team\",\"IT Enterprise Specialists Sales Team\"]\n",
    "status = [\"MQL\",\"SQL\",\"Rejected\"]\n",
    "filt = ((lead_op[\"Lead Status\"].isin(status))   & (n_lead_owner_role>0))\n",
    "#& (lead_op[\"Owner Role Name\"].isin(tm))\n",
    "\n",
    "\n",
    "lead_owner_source = lead_op.loc[filt, [\"Owner Role Name\", \"Lead Source\",\"Lead ID\"]].groupby([\"Owner Role Name\", \"Lead Source\"]).count().unstack(level=(0))\n",
    "source = lead_owner_source.columns.droplevel(level=0).to_list()\n",
    "status = lead_owner_source.index.to_list()\n",
    "lead = lead_owner_source.to_numpy()\n",
    "\n",
    "plt.style.use(\"fivethirtyeight\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(21,9), nrows = 1, ncols=1)\n",
    "fig.set_facecolor(\"white\")\n",
    "\n",
    "#cmap=sns.diverging_palette(145, 145, s=60, l=60, sep=50, n=100)\n",
    "\n",
    "fmt=',.0f'\n",
    "cmap = sns.cm.rocket_r\n",
    "\n",
    "sns.heatmap(lead, ax=ax, xticklabels=source, yticklabels=status, annot=True, fmt=fmt, cmap=cmap, cbar=True, square=False,linewidths=.5)\n",
    "#sns.heatmap(lead, ax=ax[1], xticklabels=source, yticklabels=status, annot=True, fmt=fmt, cmap=cmap, cbar=True, square=False,linewidths=.5)\n",
    "#sns.heatmap(lead, ax=ax[2], xticklabels=source, yticklabels=status, annot=True, fmt=fmt, cmap=cmap, cbar=True, square=False,linewidths=.5)\n",
    "\n",
    "#ax.set_ylim(0, len(status))\n",
    "ax.set_xlabel(\"Owner Role Name\", labelpad=20)\n",
    "ax.set_ylabel(\"Source\", labelpad=20)\n",
    "ax.tick_params(axis='both', which='both', pad=20, labelsize=10, rotation=0)\n",
    "\n",
    "plt.setp(ax.get_xticklabels(), rotation=30, ha=\"right\")\n",
    "\n",
    "#plt.suptitle(\"Numero lead per source\")\n",
    "\n",
    "plt.show();\n",
    "fig.savefig(r\"C:\\Users\\Raffaele.Sportiello\\OneDrive - Wolters Kluwer\\Documents\\Salesforce\\Reports\\numero_lead_per_source_2022.png\", facecolor=fig.get_facecolor(), transparent=True, dpi=300, bbox_inches = \"tight\")\n",
    "\n",
    "lead_op.loc[filt, [\"Owner Role Name\", \"Lead Source\",\"Lead ID\"]].groupby([\"Owner Role Name\", \"Lead Source\"]).count().unstack(level=(0)).to_excel(r\"C:\\Users\\Raffaele.Sportiello\\OneDrive - Wolters Kluwer\\Documents\\Salesforce\\Reports\\numero_lead_per_source_2022.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "57c46c22-063e-4827-a2df-ba6aed92db87",
   "metadata": {},
   "outputs": [],
   "source": [
    "lead_op.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf910677-d723-40e7-9004-890cc4309066",
   "metadata": {},
   "outputs": [],
   "source": [
    "filt = lead_op[\"Lead Status\"].isin([\"SQL\"])\n",
    "lead_op.loc[filt, [\"Lead ID\", \"Lead Status\",\"Created Date\", \"Converted Date\", \"SAL Duration\", \"MQL Duration\", \"Lead Age\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b6c451eb-7cc2-4586-a181-d8e3d6716e71",
   "metadata": {},
   "outputs": [],
   "source": [
    "g_status.size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ff737ba-d870-4a13-b76c-116681ddb843",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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