Bolum_2_4_10.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7TFmhWwRkhTs",
        "outputId": "7526120a-fb1a-4b3d-928e-5c9aa68a9010"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.9/dist-packages (1.4.4)\n",
            "Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.9/dist-packages (from pandas) (1.22.4)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.9/dist-packages (from pandas) (2022.7.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.9/dist-packages (from pandas) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.9/dist-packages (3.7.1)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (3.0.9)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (1.4.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (23.0)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (8.4.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (1.0.7)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (2.8.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (0.11.0)\n",
            "Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (1.22.4)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (4.39.3)\n",
            "Requirement already satisfied: importlib-resources>=3.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib) (5.12.0)\n",
            "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.9/dist-packages (from importlib-resources>=3.2.0->matplotlib) (3.15.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n"
          ]
        }
      ],
      "source": [
        "!pip install pandas\n",
        "!pip install matplotlib\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Matplotlib sürümü: \", plt.matplotlib.__version__)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XEOlJIkLlK8C",
        "outputId": "55957284-f54f-4918-e8bd-f50959748639"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Matplotlib sürümü:  3.7.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Google Drive'a bağlanın\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7_CxA6A5lNxL",
        "outputId": "a9f7fc34-c672-40da-f03d-8a2c42cacedf"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Veriler dosyasının yolu\n",
        "veriler_path = '/content/drive/MyDrive/Colab Notebooks/veriler.csv'"
      ],
      "metadata": {
        "id": "3X-HXC6-lPd9"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "veri = pd.read_csv(veriler_path)\n",
        "print(veri.columns)\n",
        "\n",
        "boy = veri['boy']\n",
        "print(boy)\n",
        "\n",
        "boy = veri[['boy']]\n",
        "print(boy)\n",
        "\n",
        "boykilo = veri[['boy', 'kilo']]\n",
        "boykilo.columns = ['Boy D. (cm)', 'Kilo D. (kg)']\n",
        "print(boykilo)\n",
        "\n",
        "plt.plot(boykilo)\n",
        "plt.legend(('Boy D. (cm)', 'Kilo D. (kg)'), loc='upper left') \n",
        "plt.title('Veri Tablosu - Boy & Kilo')\n",
        "plt.ylabel('Y Ekseni - Veri Ölçüm Değeri')\n",
        "plt.xlabel('X Ekseni - Dizi İçerisinde Kişi Sıra Bilgisi')\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "dDwNszYwkh9n",
        "outputId": "917832a9-3abe-42fc-b833-bace1475b5ac"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Index(['ID', 'boy', 'kilo'], dtype='object')\n",
            "0     130\n",
            "1     125\n",
            "2     135\n",
            "3     133\n",
            "4     129\n",
            "5     180\n",
            "6     190\n",
            "7     175\n",
            "8     177\n",
            "9     185\n",
            "10    165\n",
            "11    155\n",
            "12    160\n",
            "13    162\n",
            "14    167\n",
            "15    174\n",
            "16    193\n",
            "17    187\n",
            "18    183\n",
            "19    159\n",
            "20    164\n",
            "21    166\n",
            "Name: boy, dtype: int64\n",
            "    boy\n",
            "0   130\n",
            "1   125\n",
            "2   135\n",
            "3   133\n",
            "4   129\n",
            "5   180\n",
            "6   190\n",
            "7   175\n",
            "8   177\n",
            "9   185\n",
            "10  165\n",
            "11  155\n",
            "12  160\n",
            "13  162\n",
            "14  167\n",
            "15  174\n",
            "16  193\n",
            "17  187\n",
            "18  183\n",
            "19  159\n",
            "20  164\n",
            "21  166\n",
            "    Boy D. (cm)  Kilo D. (kg)\n",
            "0           130            30\n",
            "1           125            36\n",
            "2           135            34\n",
            "3           133            30\n",
            "4           129            38\n",
            "5           180            90\n",
            "6           190            80\n",
            "7           175            90\n",
            "8           177            60\n",
            "9           185           105\n",
            "10          165            55\n",
            "11          155            50\n",
            "12          160            58\n",
            "13          162            59\n",
            "14          167            62\n",
            "15          174            70\n",
            "16          193            90\n",
            "17          187            80\n",
            "18          183            88\n",
            "19          159            40\n",
            "20          164            66\n",
            "21          166            56\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 0 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    }
  ]
}