Assignment4_CS_202151160.ipynb

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          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install joypy"
      ],
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          "text": [
            "Requirement already satisfied: joypy in /usr/local/lib/python3.10/dist-packages (0.2.6)\n",
            "Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.10/dist-packages (from joypy) (1.25.2)\n",
            "Requirement already satisfied: scipy>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from joypy) (1.11.4)\n",
            "Requirement already satisfied: pandas>=0.20.0 in /usr/local/lib/python3.10/dist-packages (from joypy) (1.5.3)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from joypy) (3.7.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.20.0->joypy) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.20.0->joypy) (2023.4)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->joypy) (1.2.0)\n",
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            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->joypy) (9.4.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->joypy) (3.1.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas>=0.20.0->joypy) (1.16.0)\n"
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      "source": [
        "# Importing\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from statsmodels.graphics.gofplots import qqplot\n",
        "from joypy import joyplot"
      ],
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        "id": "NjO804vXkEhY"
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      "outputs": []
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      "source": [
        "milk_df = pd.read_csv(\"/content/drive/MyDrive/DAV sem 6/Milk_Production_2007_2012.csv\")\n",
        "milk_df = milk_df.set_index('States/Uts')\n",
        "columns = [('Milk','2007-08'),('Milk','2008-09'),('Milk','2009-10'),('Milk','2010-11'),('Milk','2011-12')]\n",
        "milk_df.columns = pd.MultiIndex.from_tuples(columns)\n",
        "milk_df.head()"
      ],
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              "                     Milk                                \n",
              "                  2007-08 2008-09 2009-10 2010-11 2011-12\n",
              "States/Uts                                               \n",
              "Andhra Pradesh       8925    9570   10429   11203   12088\n",
              "Arunachal Pradesh      32      24      26      28      22\n",
              "Assam                 752     753     756     790     796\n",
              "Bihar                5783    5934    6124    6517    6643\n",
              "Chhattisgarh          866     908     956    1029    1119"
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              "      <td>908</td>\n",
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          "metadata": {},
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      "source": [
        "egg_df = pd.read_csv(\"/content/drive/MyDrive/DAV sem 6/Egg_Production_2007_2012.csv\")\n",
        "egg_df.rename(columns = {'2007-08 (In lakh nos.)':'2007-2008',\n",
        "                         '2008-09 (In lakh nos.)':'2008-2009',\n",
        "                         '2009-10 (In lakh nos.)':'2009-2010',\n",
        "                         '2010-11 (In lakh nos.)':'2010-2011',\n",
        "                         '2011-12 (In lakh nos.)':'2011-2012'}, inplace = True)\n",
        "egg_df = egg_df.set_index('States/Uts')\n",
        "columns = [('Eggs','2007-2008'),('Eggs','2008-2009'),('Eggs','2009-2010'),('Eggs','2010-2011'),('Eggs','2011-2012')]\n",
        "egg_df.columns = pd.MultiIndex.from_tuples(columns)\n",
        "egg_df.head()"
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      "execution_count": null,
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              "                       Eggs                                        \n",
              "                  2007-2008 2008-2009 2009-2010 2010-2011 2011-2012\n",
              "States/Uts                                                         \n",
              "Andhra Pradesh       175884    183446    193958    201277    212103\n",
              "Arunachal Pradesh       394       361       380       407       419\n",
              "Assam                  4910      4659      4671      4707      4705\n",
              "Bihar                 10707     10740     11002      7446      7552\n",
              "Chhattisgarh           9184      9738     10520     12454     12984"
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "egg_df",
              "summary": "{\n  \"name\": \"egg_df\",\n  \"rows\": 36,\n  \"fields\": [\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2007-2008\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 92542,\n        \"min\": 1,\n        \"max\": 535649,\n        \"num_unique_values\": 36,\n        \"samples\": [\n          535649,\n          9747,\n          1911\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2008-2009\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 96041,\n        \"min\": 1,\n        \"max\": 555624,\n        \"num_unique_values\": 36,\n        \"samples\": [\n          555624,\n          6713,\n          1962\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2009-2010\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 104199,\n        \"min\": 1,\n        \"max\": 602671,\n        \"num_unique_values\": 36,\n        \"samples\": [\n          602671,\n          7075,\n          2536\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2010-2011\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 108963,\n        \"min\": 1,\n        \"max\": 630244,\n        \"num_unique_values\": 36,\n        \"samples\": [\n          630244,\n          7577,\n          2614\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2011-2012\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 114803,\n        \"min\": 1,\n        \"max\": 664499,\n        \"num_unique_values\": 36,\n        \"samples\": [\n          664499,\n          7972,\n          2712\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged = milk_df.join(egg_df)\n",
        "merged.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "GRJYROfwm84g",
        "outputId": "edecd9cf-a530-4419-c9c7-7610e130c3e1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     Milk                                      Eggs            \\\n",
              "                  2007-08 2008-09 2009-10 2010-11 2011-12 2007-2008 2008-2009   \n",
              "States/Uts                                                                      \n",
              "Andhra Pradesh       8925    9570   10429   11203   12088  175884.0  183446.0   \n",
              "Arunachal Pradesh      32      24      26      28      22     394.0     361.0   \n",
              "Assam                 752     753     756     790     796    4910.0    4659.0   \n",
              "Bihar                5783    5934    6124    6517    6643   10707.0   10740.0   \n",
              "Chhattisgarh          866     908     956    1029    1119    9184.0    9738.0   \n",
              "\n",
              "                                                 \n",
              "                  2009-2010 2010-2011 2011-2012  \n",
              "States/Uts                                       \n",
              "Andhra Pradesh     193958.0  201277.0  212103.0  \n",
              "Arunachal Pradesh     380.0     407.0     419.0  \n",
              "Assam                4671.0    4707.0    4705.0  \n",
              "Bihar               11002.0    7446.0    7552.0  \n",
              "Chhattisgarh        10520.0   12454.0   12984.0  "
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              "\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-a8d01495-929a-467d-b3d4-846cbc1ab1cb 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-a8d01495-929a-467d-b3d4-846cbc1ab1cb');\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",
              "\n",
              "\n",
              "<div id=\"df-f157be98-dbf8-4243-9abc-df2d32c055a3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f157be98-dbf8-4243-9abc-df2d32c055a3')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f157be98-dbf8-4243-9abc-df2d32c055a3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "merged",
              "summary": "{\n  \"name\": \"merged\",\n  \"rows\": 36,\n  \"fields\": [\n    {\n      \"column\": [\n        \"Milk\",\n        \"2007-08\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 17984,\n        \"min\": 1,\n        \"max\": 107934,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          1221,\n          6572,\n          91\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Milk\",\n        \"2008-09\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 18693,\n        \"min\": 1,\n        \"max\": 112183,\n        \"num_unique_values\": 36,\n        \"samples\": [\n          112183,\n          6855,\n          1230\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Milk\",\n        \"2009-10\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19401,\n        \"min\": 1,\n        \"max\": 116425,\n        \"num_unique_values\": 33,\n        \"samples\": [\n          2,\n          78,\n          24\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Milk\",\n        \"2010-11\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 20305,\n        \"min\": 1,\n        \"max\": 121848,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          1383,\n          7514,\n          104\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Milk\",\n        \"2011-12\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 21323,\n        \"min\": 1,\n        \"max\": 127904,\n        \"num_unique_values\": 34,\n        \"samples\": [\n          79,\n          1721,\n          4672\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2007-2008\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33151.843378627826,\n        \"min\": 1.0,\n        \"max\": 175884.0,\n        \"num_unique_values\": 34,\n        \"samples\": [\n          845.0,\n          15479.0,\n          30542.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2008-2009\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 34529.27193184783,\n        \"min\": 1.0,\n        \"max\": 183446.0,\n        \"num_unique_values\": 34,\n        \"samples\": [\n          1105.0,\n          19940.0,\n          33056.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2009-2010\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 37529.52437928667,\n        \"min\": 1.0,\n        \"max\": 193958.0,\n        \"num_unique_values\": 34,\n        \"samples\": [\n          1119.0,\n          23193.0,\n          36978.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2010-2011\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 39235.35442895572,\n        \"min\": 1.0,\n        \"max\": 201277.0,\n        \"num_unique_values\": 34,\n        \"samples\": [\n          1137.0,\n          23571.0,\n          39939.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": [\n        \"Eggs\",\n        \"2011-2012\"\n      ],\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 41126.88830168991,\n        \"min\": 1.0,\n        \"max\": 212103.0,\n        \"num_unique_values\": 34,\n        \"samples\": [\n          1149.0,\n          23007.0,\n          43433.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "q1 = merged.iloc[:,0:1]\n",
        "states = [\"Gujarat\",\"Kerala\",\"Andhra Pradesh\",\"Uttar Pradesh\",\"Punjab\"]\n",
        "q1 = q1.filter(items=states,axis=0)\n",
        "q1 = q1.T\n",
        "vals = q1.values.flatten()\n",
        "label = q1.columns.tolist()\n",
        "explode = [0.1,0.1,0.1,0.1,0.1]\n",
        "colors = sns.color_palette('flare')[0:5]\n",
        "plt.figure(figsize=(7,7))\n",
        "plt.pie(vals, labels=label, autopct='%.0f%%', colors=colors, explode=explode, shadow = 'True')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 576
        },
        "id": "bbKqZzArm9ZC",
        "outputId": "0dab44b2-a47e-40b7-cf64-33add3c40a68"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, axes = plt.subplots(2,3,figsize=(18,12), squeeze=True)\n",
        "# q2 = egg_df.T.droplevel(['Eggs'])\n",
        "q2 = egg_df.filter(items=states, axis=0)\n",
        "q2 = q2.T\n",
        "vals = q2.T.values\n",
        "labels = [\"Gujarat\",\"Kerala\",\"Andhra Pradesh\",\"Uttar Pradesh\",\"Punjab\"]\n",
        "fig.delaxes(axes[1][1])\n",
        "colors = sns.color_palette(\"Set2\")[1:6]\n",
        "axes[0][0].pie(q2.loc[(\"Eggs\",\"2007-2008\")].values, colors=colors, labels=labels, autopct='%.0f%%', textprops={'fontsize': 8})\n",
        "axes[0,0].set_title(\"2007-08\")\n",
        "axes[0][1].pie(q2.loc[(\"Eggs\",\"2008-2009\")].values, colors=colors, labels=labels, autopct='%.0f%%', textprops={'fontsize': 8})\n",
        "axes[0,1].set_title(\"2008-09\")\n",
        "axes[0][2].pie(q2.loc[(\"Eggs\",\"2009-2010\")].values, colors=colors, labels=labels, autopct='%.0f%%', textprops={'fontsize': 8})\n",
        "axes[0,2].set_title(\"2009-10\")\n",
        "axes[1][0].pie(q2.loc[(\"Eggs\",\"2010-2011\")].values, colors=colors, labels=labels, autopct='%.0f%%', textprops={'fontsize': 8})\n",
        "axes[1,0].set_title(\"2010-11\")\n",
        "axes[1][2].pie(q2.loc[(\"Eggs\",\"2011-2012\")].values, colors=colors, labels=labels, autopct='%.0f%%', textprops={'fontsize': 8})\n",
        "axes[1,2].set_title(\"2011-12\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 730
        },
        "id": "Rt8O0UO0m_de",
        "outputId": "d5c575bf-1b4d-482b-859f-e8027b42c103"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x1200 with 5 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "q2.plot(kind='area', stacked=True, figsize=(16,9));\n",
        "plt.legend(prop={'size':18});"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 633
        },
        "id": "hBYrVNCvnDSz",
        "outputId": "d1d9a7f1-20f0-4312-f2dc-13c3b4f29e1a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x900 with 1 Axes>"
            ],
            "image/png": 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      ]
    }
  ]
}