2 - evdsapI2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5119f795",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from evds import evdsAPI\n",
    "\n",
    "evds = evdsAPI('kv3Ib1IQu7')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4828c4be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          Tarih YEARWEEK  TP_KTF17  TP_KTFTUK\n",
      "0    01-01-2021   2021-1     19.62      21.95\n",
      "1    08-01-2021   2021-2     20.87      22.53\n",
      "2    15-01-2021   2021-3     19.84      22.33\n",
      "3    22-01-2021   2021-4     20.42      22.04\n",
      "4    29-01-2021   2021-5     19.99      21.73\n",
      "..          ...      ...       ...        ...\n",
      "133  21-07-2023  2023-29     24.58      46.10\n",
      "134  28-07-2023  2023-30     24.10      44.58\n",
      "135  04-08-2023  2023-31     30.72      45.54\n",
      "136  11-08-2023  2023-32     31.74      46.45\n",
      "137  18-08-2023  2023-33     31.15      45.78\n",
      "\n",
      "[138 rows x 4 columns]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from evds import evdsAPI\n",
    "\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer2 = evds.get_data(['TP.KTF17', 'TP.KTFTUK'], startdate=\"01-01-2021\", enddate=\"25-08-2023\")\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer_df2 = pd.DataFrame(Faiz_Ticari_Consumer2)\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer_df2.dropna(inplace=True)\n",
    "\n",
    "Faiz_Ticari_Consumer_df2.reset_index(drop=True, inplace=True)\n",
    "\n",
    "\n",
    "print(Faiz_Ticari_Consumer_df2)\n",
    "\n",
    "\n",
    "excel_file2 = \"Faiz_Ticari_Consumer_df2.xlsx\"\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer_df2.to_excel(excel_file2, index=False)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee1e8085",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "06aecc12",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from evds import evdsAPI\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer2 = evds.get_data(['TP.KTF17', 'TP.KTFTUK'], startdate=\"01-01-2021\", enddate=\"25-08-2023\")\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer_df2 = pd.DataFrame(Faiz_Ticari_Consumer2)\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer_df2.dropna(inplace=True)\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer_df2.reset_index(drop=True, inplace=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "6bd55822",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          Tarih YEARWEEK  TP_TRY_MT02\n",
      "0    01-01-2021   2021-1        18.18\n",
      "1    08-01-2021   2021-2        17.54\n",
      "2    15-01-2021   2021-3        17.15\n",
      "3    22-01-2021   2021-4        17.19\n",
      "4    29-01-2021   2021-5        17.57\n",
      "..          ...      ...          ...\n",
      "133  21-07-2023  2023-29        30.36\n",
      "134  28-07-2023  2023-30        29.32\n",
      "135  04-08-2023  2023-31        27.77\n",
      "136  11-08-2023  2023-32        29.06\n",
      "137  18-08-2023  2023-33        30.06\n",
      "\n",
      "[138 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from evds import evdsAPI\n",
    "\n",
    "\n",
    "\n",
    "Deposit3M = evds.get_data(['TP.TRY.MT02'], startdate=\"01-01-2021\", enddate=\"25-08-2023\")\n",
    "\n",
    "\n",
    "Deposit3M_df = pd.DataFrame(Deposit3M)\n",
    "\n",
    "\n",
    "Deposit3M_df.dropna(inplace=True)\n",
    "\n",
    "Deposit3M_df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "\n",
    "print(Deposit3M_df)\n",
    "\n",
    "\n",
    "excel_file2 = \"Deposit3M_df.xlsx\"\n",
    "\n",
    "\n",
    "Deposit3M_df.to_excel(excel_file2, index=False)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2c5f5577",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "74bd7242",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "33b66d4f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47e0cf3e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7284ccfd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "898eeaa2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "d045c4f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from evds import evdsAPI\n",
    "import matplotlib.pyplot as plt\n",
    "from docx import Document\n",
    "from docx.shared import Inches\n",
    "\n",
    "\n",
    "Faiz_Ticari_Consumer = evds.get_data(['TP.KTF17'], startdate=\"01-01-2021\", enddate=\"25-08-2023\")\n",
    "Faiz_Ticari_Consumer_df = pd.DataFrame(Faiz_Ticari_Consumer)\n",
    "Faiz_Ticari_Consumer_df.dropna(inplace=True)\n",
    "Faiz_Ticari_Consumer_df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "\n",
    "Deposit3M = evds.get_data(['TP.TRY.MT02'], startdate=\"01-01-2021\", enddate=\"25-08-2023\")\n",
    "Deposit3M_df = pd.DataFrame(Deposit3M)\n",
    "Deposit3M_df.dropna(inplace=True)\n",
    "Deposit3M_df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "\n",
    "Reverse_Spread = Faiz_Ticari_Consumer_df['TP_KTF17'] - Deposit3M_df['TP_TRY_MT02']\n",
    "\n",
    "\n",
    "plt.figure(figsize=(15, 9))\n",
    "\n",
    "\n",
    "plt.plot(Faiz_Ticari_Consumer_df['Tarih'], Faiz_Ticari_Consumer_df['TP_KTF17'], label='Ticari Kredi Faizi Yıllık (%)', color='red')\n",
    "\n",
    "\n",
    "plt.plot(Deposit3M_df['Tarih'], Deposit3M_df['TP_TRY_MT02'], label='3 Aya Kadar Mevduat Faizi Yıllık (%)', color='black')\n",
    "\n",
    "\n",
    "plt.bar(Deposit3M_df['Tarih'], Reverse_Spread, label='Reverse Spread', color='orange', edgecolor='black', alpha=0.7)\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.xticks(Deposit3M_df['Tarih'][::10], rotation=45)\n",
    "\n",
    "\n",
    "plt.xlabel('Tarih')\n",
    "\n",
    "plt.grid(False)  \n",
    "plt.tight_layout()\n",
    "plt.gca().set_facecolor('white') \n",
    "\n",
    "\n",
    "plt.savefig('economic_data_plot.png', format='png', bbox_inches='tight')\n",
    "\n",
    "\n",
    "doc = Document()\n",
    "doc.add_heading('Ticari Kredi - Mevduat Faizi Makası', 0)\n",
    "\n",
    "\n",
    "doc.add_picture('economic_data_plot.png', width=Inches(6), height=Inches(4))\n",
    "\n",
    "\n",
    "doc.save('economic_data_plot.docx')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c0b3321",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}