Project_Perpustakaan_Course_Data_Analyst.ipynb

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      "name": "python3",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/arianza1210/Data_Analyst/blob/main/Project_Perpustakaan_Course_Data_Analyst.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "xmpIEtsqliHT"
      },
      "outputs": [],
      "source": [
        "nama_buku1=\"Fisika\"\n",
        "nama_buku2=\"Kimia\"\n",
        "nama_buku3=\"Biologi\"\n",
        "durasi=3"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Kode_buku1='Ps_001'\n",
        "Kode_buku2='Ps_002'\n",
        "Kode_buku3='Ps_003'"
      ],
      "metadata": {
        "id": "ZX1QJn5Zlq_L"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "N_buku_1=N_buku_2=N_buku_3=10"
      ],
      "metadata": {
        "id": "ME60S_QCqSIb"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "nama_buku=(nama_buku1,nama_buku2,nama_buku3)\n",
        "kode_buku=[Kode_buku1,Kode_buku2,Kode_buku3]\n",
        "N_buku=[N_buku_1,N_buku_2,N_buku_3]"
      ],
      "metadata": {
        "id": "jbO0DC6mqeEC"
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      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Penambahan Buku"
      ],
      "metadata": {
        "id": "NKDf0-OqrxwD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "nama_buku=[nama_buku1,nama_buku2,nama_buku3]\n",
        "pustaka={\n",
        "    \"Nama\":nama_buku,\n",
        "    \"Kode\":kode_buku,\n",
        "    \"Jumlah\":N_buku\n",
        "}\n",
        "pustaka"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jr_54IZvrup7",
        "outputId": "ede07563-6901-4d37-acf0-84401d78560c"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Nama': ['Fisika', 'Kimia', 'Biologi'],\n",
              " 'Kode': ['Ps_001', 'Ps_002', 'Ps_003'],\n",
              " 'Jumlah': [10, 10, 10]}"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pustaka[\"Nama\"].append(\"Seni\")\n",
        "pustaka[\"Kode\"].append(\"Ps_004\")\n",
        "pustaka[\"Jumlah\"].append(15)\n",
        "print('Buku {} dengan jumlah {}'.format(pustaka[\"Nama\"][-1],\n",
        "                                        pustaka[\"Jumlah\"][-1]))"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "C4VBUjeZsX2j",
        "outputId": "a5225d87-3a40-468c-b80a-066f1588b32d"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Buku Seni dengan jumlah 15\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pustaka"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "gIHTIwmRtdqa",
        "outputId": "9e562dd8-27f8-455f-cada-cadfb04a9102"
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      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Nama': ['Fisika', 'Kimia', 'Biologi', 'Seni'],\n",
              " 'Kode': ['Ps_001', 'Ps_002', 'Ps_003', 'Ps_004'],\n",
              " 'Jumlah': [10, 10, 10, 15]}"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def Data_terakhir():\n",
        "  print(\"Buku yang tersedia:\")\n",
        "  print(\"Nama Buku\\t Kode Buku\\t Jumlah\")\n",
        "  for i in range(len(pustaka['Nama'])):\n",
        "    print(\"Buku {}\\t kode {}\\t {}\".format(\n",
        "    pustaka['Nama'][i],\n",
        "    pustaka['Kode'][i],\n",
        "    pustaka['Jumlah'][i]))"
      ],
      "metadata": {
        "id": "kF3-rXzURW8M"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Data_terakhir()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GRhOJgVyRc6J",
        "outputId": "f65c9168-0f95-4fab-defd-a38c90bc36c9"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Buku yang tersedia:\n",
            "Nama Buku\t Kode Buku\t Jumlah\n",
            "Buku Fisika\t kode Ps_001\t 10\n",
            "Buku Kimia\t kode Ps_002\t 10\n",
            "Buku Biologi\t kode Ps_003\t 10\n",
            "Buku Seni\t kode Ps_004\t 15\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def peminjaman():\n",
        "  print(\"Form Peminjaman\")\n",
        "  varNama=str(input(\"Nama Peminjam =\"))\n",
        "  varBuku=str(input(\"Kode Buku= \"))\n",
        "  for i in range(len(pustaka['Kode'])):\n",
        "    if varBuku==pustaka['Kode'][i] and pustaka['Jumlah'][i]>1:\n",
        "       print(\"Bisa pinjam\".format(varNama))\n",
        "       print(\"Durasi waktu pinjam {} hari\".format(durasi))\n",
        "       pustaka['Jumlah'][i]-=1\n",
        "       break\n",
        "    elif i==len(pustaka['Kode'])-1:\n",
        "       print(\"Tidak bisa dipinjam\")"
      ],
      "metadata": {
        "id": "ErVcECAlRgdc"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "peminjaman()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8FmvfSRIR7pj",
        "outputId": "e5a82882-6bf5-4e47-d418-69f2530b0ced"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Form Peminjaman\n",
            "Nama Peminjam =Pandi\n",
            "Kode Buku= Ps_002\n",
            "Bisa pinjam\n",
            "Durasi waktu pinjam 3 hari\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def pengembalian(pustaka=pustaka):\n",
        "  print(\"Form Pengembalian\")\n",
        "  varNama=str(input(\"Nama Peminjam\\t=\"))\n",
        "  varBuku=str(input(\"Kode Buku\\t=\"))\n",
        "  varHari=int(input(\"Jumlah Hari\\t=\"))\n",
        "  for i in range(len(pustaka['Kode'])):\n",
        "    if varBuku==pustaka['Kode'][i]:\n",
        "      if varHari>=durasi:\n",
        "        denda=(varHari-durasi)*1000\n",
        "        print(\"Terima kasih, {}\\nDenda sebesar Rp.{}\".format(varNama,denda))\n",
        "        pustaka['Jumlah'][i]+=1\n",
        "        break\n",
        "      else:\n",
        "        print(\"Terima kasih,{}\".format(varNama,denda))\n",
        "        pustaka['Jumlah'][i]+=1\n",
        "        break\n",
        "    elif i==len(pustaka['Kode'])-1:\n",
        "      print(\"Salah kode\")"
      ],
      "metadata": {
        "id": "fvXllcLoSFcq"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pengembalian()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y7SSlUNjSVim",
        "outputId": "1e80a946-775e-488c-b987-ca7c96f09d99"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Form Pengembalian\n",
            "Nama Peminjam\t=Pandi\n",
            "Kode Buku\t=Ps_002\n",
            "Jumlah Hari\t=3\n",
            "Terima kasih, Pandi\n",
            "Denda sebesar Rp.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def tambah_buku(varBuku,varKode,varJumlah):\n",
        "  for i in range(len(pustaka['Kode'])):\n",
        "    if varKode==pustaka['Kode'][i]:\n",
        "      pustaka['Jumlah'][i]+=varJumlah\n",
        "      print(\"Buku {} dengan Jumlah {}\".format(pustaka[\"Nama\"][i],\n",
        "                                              pustaka['Jumlah'][i]))\n",
        "      break\n",
        "    else:\n",
        "      pustaka['Nama'].append(varBuku)\n",
        "      pustaka['Kode'].append(varKode)\n",
        "      pustaka['Jumlah'].append(varJumlah)\n",
        "      print(\"Buku Baru {} dengan Jumlah {}\".format(pustaka[\"Nama\"][-1],\n",
        "                                                   pustaka['Jumlah'][-1]))\n",
        "      break"
      ],
      "metadata": {
        "id": "8hIsSXMsSuqO"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Judul=\"Sastra\"\n",
        "Kode=\"Ps_005\"\n",
        "Jumlah=3\n",
        "tambah_buku(Judul,Kode,Jumlah)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MqQkFhYKS6tT",
        "outputId": "fb3f87d3-7842-4931-f71e-2f1fd5db451f"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Buku Baru Sastra dengan Jumlah 3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Data_terakhir()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yAaSnYm2TXaW",
        "outputId": "af0a7a62-5eb3-4e11-e4dd-59d8d1c9d5f0"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Buku yang tersedia:\n",
            "Nama Buku\t Kode Buku\t Jumlah\n",
            "Buku Fisika\t kode Ps_001\t 10\n",
            "Buku Kimia\t kode Ps_002\t 10\n",
            "Buku Biologi\t kode Ps_003\t 10\n",
            "Buku Seni\t kode Ps_004\t 15\n",
            "Buku Sastra\t kode Ps_005\t 3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "3SCdAYstecez"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.DataFrame(pustaka)"
      ],
      "metadata": {
        "id": "2AWQHwGNefQV"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
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          "height": 206
        },
        "id": "QP7xmFaYel5d",
        "outputId": "3be13584-984b-4f34-8cd1-2c635c7c1cdd"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Nama    Kode  Jumlah\n",
              "0   Fisika  Ps_001       9\n",
              "1    Kimia  Ps_002      10\n",
              "2  Biologi  Ps_003      10\n",
              "3     Seni  Ps_004      15\n",
              "4   Sastra  Ps_005       3"
            ],
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Nama</th>\n",
              "      <th>Kode</th>\n",
              "      <th>Jumlah</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Fisika</td>\n",
              "      <td>Ps_001</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Kimia</td>\n",
              "      <td>Ps_002</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Biologi</td>\n",
              "      <td>Ps_003</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Seni</td>\n",
              "      <td>Ps_004</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Sastra</td>\n",
              "      <td>Ps_005</td>\n",
              "      <td>3</td>\n",
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      "cell_type": "code",
      "source": [
        "len(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OC4MhPRqevhP",
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      "outputs": [
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          "data": {
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              "5"
            ]
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          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def peminjaman_df(durasi=durasi):\n",
        "  print(\"Form Peminjaman\")\n",
        "  varNama=str(input(\"Nama Peminjam =\"))\n",
        "  varBuku=str(input(\"Kode Buku= \"))\n",
        "  for i in range(len(df)):\n",
        "    if (varBuku==df['Kode'].iloc[i] and df['Jumlah'].iloc[i]>1):\n",
        "      print(\"Bisa pinjam {}\".format(varNama))\n",
        "      print(\"Durasi waktu pinjam {} hari\".format(durasi))\n",
        "      df.at[i,'Jumlah']-=1\n",
        "      return df\n",
        "      break\n",
        "    elif i==len(df):\n",
        "      print(\"Tidak bisa dipinjam\")"
      ],
      "metadata": {
        "id": "598QfXLJggc8"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def pengembalian_df(durasi=durasi):\n",
        "  print(\"Form Pengembalian\")\n",
        "  varNama=str(input(\"Nama Peminjam\\t=\"))\n",
        "  varBuku=str(input(\"Kode Buku\\t=\"))\n",
        "  varHari=int(input(\"Jumlah Hari\\t=\"))\n",
        "  for i in range(len(df)):\n",
        "    if varBuku==df['Kode'].iloc[i]:\n",
        "      if varHari>=durasi:\n",
        "        denda=(varHari-durasi)*1000\n",
        "        print(\"Terima kasih, {}\\nDenda sebesar Rp.{}\".format(varNama,denda))\n",
        "        df.at[i,'Jumlah']+=1\n",
        "        return df\n",
        "        break\n",
        "      else:\n",
        "        print(\"Terima kasih,{}\".format(varNama))\n",
        "        varBar=df['Jumlah'].iloc[i]\n",
        "        df.at[i,'Jumlah']+=1\n",
        "        return df\n",
        "        break\n",
        "    elif i==len(df)-1:\n",
        "      print(\"Salah kode\")"
      ],
      "metadata": {
        "id": "oRdMJuAhgwzZ"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def tambah_buku_df(varBuku,varKode,varJumlah,df=df):\n",
        "  for i in range(len(df)):\n",
        "    if varKode==df['Kode'].iloc[i]:\n",
        "      df.at[i,'Jumlah']+=varJumlah\n",
        "      return df\n",
        "      print(\"Buku {} dengan Jumlah {}\".format(df[\"Nama\"].iloc[i],\n",
        "      df['Jumlah'].iloc[i]))\n",
        "      break\n",
        "    else:\n",
        "      var1={\"Nama\":varBuku,\n",
        "            \"Kode\":varKode,\n",
        "            \"Jumlah\":varJumlah}\n",
        "      df=df.append(var1, ignore_index=True)\n",
        "      print(\"Buku Baru {} dengan Jumlah {}\".format(df[\"Nama\"].iloc[-1],\n",
        "                                                         df['Jumlah'].iloc[-1]))\n",
        "      return df\n",
        "      break\n",
        "     "
      ],
      "metadata": {
        "id": "ExcwuUMyhMm2"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "id": "VNM3Sb1BiTwP"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df=peminjaman()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kfPAsuPaiYnM",
        "outputId": "93aee09f-1843-4c2e-8ba8-5c8a1b657243"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Form Peminjaman\n",
            "Nama Peminjam =Pandi\n",
            "Kode Buku= Ps_001\n",
            "Bisa pinjam\n",
            "Durasi waktu pinjam 3 hari\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "OKpwnpdmifE0",
        "outputId": "003ec599-8120-4b8f-a2aa-cb7988d6801e"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Nama    Kode  Jumlah\n",
              "0   Fisika  Ps_001       9\n",
              "1    Kimia  Ps_002      10\n",
              "2  Biologi  Ps_003      10\n",
              "3     Seni  Ps_004      15\n",
              "4   Sastra  Ps_005       3"
            ],
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              "      <td>9</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Kimia</td>\n",
              "      <td>Ps_002</td>\n",
              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Biologi</td>\n",
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              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Seni</td>\n",
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              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Sastra</td>\n",
              "      <td>Ps_005</td>\n",
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              "</table>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Judul=\"Astronomi\"\n",
        "Kode=\"PS_006\"\n",
        "Jumlah=5\n",
        "df=tambah_buku_df(Judul,Kode,Jumlah)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XuZZ3ZznjK7l",
        "outputId": "1b393335-8125-4bb9-dbc5-4002c7d969f0"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Buku Baru Astronomi dengan Jumlah 5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "HVoqkCbWjhqv",
        "outputId": "42d491ac-b95a-40f6-967e-66efe7fd0f70"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        Nama    Kode  Jumlah\n",
              "0     Fisika  Ps_001       9\n",
              "1      Kimia  Ps_002      10\n",
              "2    Biologi  Ps_003      10\n",
              "3       Seni  Ps_004      15\n",
              "4     Sastra  Ps_005       3\n",
              "5  Astronomi  PS_006       5"
            ],
            "text/html": [
              "\n",
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              "      <td>Kimia</td>\n",
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              "      <td>Biologi</td>\n",
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              "      <td>PS_006</td>\n",
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              "\n",
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              "\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
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              "            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",
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          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df['Pinjam']=np.random.randint(1,9,len(df))"
      ],
      "metadata": {
        "id": "L_kBDAGJxvvm"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "OMZeLFyHylRI",
        "outputId": "af173116-d34c-4631-b445-d99c26dca82d"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        Nama    Kode  Jumlah  Pinjam\n",
              "0     Fisika  Ps_001       9       2\n",
              "1      Kimia  Ps_002      10       6\n",
              "2    Biologi  Ps_003      10       3\n",
              "3       Seni  Ps_004      15       5\n",
              "4     Sastra  Ps_005       3       1\n",
              "5  Astronomi  PS_006       5       6"
            ],
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              "\n",
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              "      <th></th>\n",
              "      <th>Nama</th>\n",
              "      <th>Kode</th>\n",
              "      <th>Jumlah</th>\n",
              "      <th>Pinjam</th>\n",
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              "      <th>0</th>\n",
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              "      <td>9</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Kimia</td>\n",
              "      <td>Ps_002</td>\n",
              "      <td>10</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Biologi</td>\n",
              "      <td>Ps_003</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Seni</td>\n",
              "      <td>Ps_004</td>\n",
              "      <td>15</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Sastra</td>\n",
              "      <td>Ps_005</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Astronomi</td>\n",
              "      <td>PS_006</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-909efb1f-642f-4e74-b923-6a301326209e');\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",
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              "        }\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def peminjaman_df(durasi=durasi):\n",
        "  print(\"Form Peminjaman\")\n",
        "  varNama=str(input(\"Nama Peminjam =\"))\n",
        "  varBuku=str(input(\"Kode Buku= \"))\n",
        "  for i in range(len(df)):\n",
        "    if (varBuku==df['Kode'].iloc[i] and df['Jumlah'].iloc[i]>1):\n",
        "      print(\"Bisa pinjam {}\".format(varNama))\n",
        "      print(\"Durasi waktu pinjam {} hari\".format(durasi))\n",
        "      df.at[i,'Jumlah']-=1\n",
        "      df.at[i,'Pinjam']+=1\n",
        "      return df\n",
        "      break\n",
        "    elif i==len(df):\n",
        "      print(\"Tidak bisa dipinjam\")"
      ],
      "metadata": {
        "id": "4XdybJJpyvTo"
      },
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def pengembalian_df(durasi=durasi):\n",
        "  print(\"Form Pengembalian\")\n",
        "  varNama=str(input(\"Nama Peminjam\\t=\"))\n",
        "  varBuku=str(input(\"Kode Buku\\t=\"))\n",
        "  varHari=int(input(\"Jumlah Hari\\t=\"))\n",
        "  for i in range(len(df)):\n",
        "    if varBuku==df['Kode'].iloc[i]:\n",
        "      if varHari>=durasi:\n",
        "        denda=(varHari-durasi)*1000\n",
        "        print(\"Terima kasih, {}\\nDenda sebesar Rp.{}\".format(varNama,denda))\n",
        "        df.at[i,'Jumlah']+=1\n",
        "        df.at[i,'Pinjam']-=1\n",
        "        return df\n",
        "        break\n",
        "      else:\n",
        "        print(\"Terima kasih,{}\".format(varNama))\n",
        "        varBar=df['Jumlah'].iloc[i]\n",
        "        df.at[i,'Jumlah']+=1\n",
        "        df.at[i,'Pinjam']-=1\n",
        "        return df\n",
        "        break\n",
        "    elif i==len(df)-1:\n",
        "      print(\"Salah kode\")"
      ],
      "metadata": {
        "id": "DEqiDLoRzCAP"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df=peminjaman_df()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qfhurm_gzdbw",
        "outputId": "babee881-234f-4611-fa88-2e2e140ab29b"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Form Peminjaman\n",
            "Nama Peminjam =Pandi\n",
            "Kode Buku= Ps_002\n",
            "Bisa pinjam Pandi\n",
            "Durasi waktu pinjam 3 hari\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "z-ROaa1rzpBA",
        "outputId": "6eb00c5f-7008-4d4a-c93a-74ee5bb2a024"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        Nama    Kode  Jumlah  Pinjam\n",
              "0     Fisika  Ps_001       9       2\n",
              "1      Kimia  Ps_002       9       7\n",
              "2    Biologi  Ps_003      10       3\n",
              "3       Seni  Ps_004      15       5\n",
              "4     Sastra  Ps_005       3       1\n",
              "5  Astronomi  PS_006       5       6"
            ],
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              "            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",
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          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df=pengembalian_df()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dH8o9_TLzrwQ",
        "outputId": "3013e800-ad98-44cc-ff6c-30450aef93ac"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Form Pengembalian\n",
            "Nama Peminjam\t=Pandi\n",
            "Kode Buku\t=Ps_002\n",
            "Jumlah Hari\t=5\n",
            "Terima kasih, Pandi\n",
            "Denda sebesar Rp.2000\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "PBAadZdfzzcD",
        "outputId": "bd244db3-e939-43c3-e9d1-909a1188ff00"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        Nama    Kode  Jumlah  Pinjam\n",
              "0     Fisika  Ps_001       9       2\n",
              "1      Kimia  Ps_002      10       6\n",
              "2    Biologi  Ps_003      10       3\n",
              "3       Seni  Ps_004      15       5\n",
              "4     Sastra  Ps_005       3       1\n",
              "5  Astronomi  PS_006       5       6"
            ],
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              "      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-1c39bc8b-201b-4591-aaca-a8a15a50dbba 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-1c39bc8b-201b-4591-aaca-a8a15a50dbba');\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": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pjgLabel=np.arange(len(df))\n",
        "lbr=0.5\n",
        "varLabel=df['Nama'].values\n",
        "varJumlah=df['Jumlah'].values\n",
        "varPinjam=df['Pinjam'].values\n",
        "plt.bar(pjgLabel,varJumlah, color='orange',\n",
        "        width=lbr, label=\"Jumlah\")\n",
        "plt.bar(pjgLabel+lbr,varPinjam,color='blue',\n",
        "        width=lbr, label=\"Pinjam\")\n",
        "plt.legend(loc=\"best\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "FHrz89gXz21z",
        "outputId": "36267c8d-b5b6-41ed-c60e-30077a3bf566"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAD4CAYAAAAaT9YAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAARmElEQVR4nO3df2xd5X3H8c8njrEhyUoHDktwwAYBocSTY12xQaBDTX+kI0ClUkSaVk1hRIilUBaEgElrkapq0qLSVZsaRUCBNgFN/BAVGqUpTZQBLZkTnJEfLkTMtA6QuEFJm0IgId/94UuWODa+vuf4Hj/O+yVd+Z4f9z7fcyN/8vg55zzXESEAQJomFF0AAKB6hDgAJIwQB4CEEeIAkDBCHAASNrGWjZ166qnR0tJSyyYBIHkbNmz4fUQ0DbatpiHe0tKizs7OWjYJAMmz/fpQ2xhOAYCEEeIAkDBCHAASVtMxcQD40IEDB9Tb26v9+/cXXcqY0djYqObmZtXX11f8GkIcQCF6e3s1ZcoUtbS0yHbR5RQuIrR792719vaqtbW14tcxnAKgEPv379cpp5xCgJfZ1imnnDLiv0wIcQCFIcCPVs3nQYgDQMIYEwcwNqzKuVf+5eG/K2Hy5Mnat29fpmZ6eno0f/58bd68ech91q5dq2XLlumpp57K1NZgCHFAyj9AhlJBsAAjwXAKgOPa2rVrNX/+/MPLS5Ys0QMPPCCpf6qQO++8U+3t7SqVStq4caM+97nP6eyzz9by5cuPea+enh5deuml6ujoUEdHh1544YXD2/bt26err75aM2fO1MKFC5XXt6rREweAj3DGGWeoq6tLt956qxYtWqTnn39e+/fv16xZs3TjjTcete/UqVO1evVqNTY26tVXX9WCBQsOzxf10ksvacuWLZo+fbrmzJmj559/Xpdccknm+ghxAPgIV155pSSpra1N+/bt05QpUzRlyhQ1NDRoz549R+174MABLVmyRF1dXaqrq9Mrr7xyeNuFF16o5uZmSVJ7e7t6enoIcQDIauLEiTp06NDh5YHXaTc0NEiSJkyYcPj5h8sHDx48at977rlHp512mjZt2qRDhw6psbHxmPeRpLq6umNeWy3GxAEc184880xt3bpV7733nvbs2aNnn3226vfau3evpk2bpgkTJujHP/6xPvjggxwrHRw9cQBjQ42v3Dl48KAaGho0Y8YMXXPNNZo1a5ZaW1s1e/bsqt/zpptu0he/+EU99NBDmjdvniZNmpRjxYNzXmdIK1EqlYIvhcCYxCWGNbdt2zadf/75hbW/adMm3XDDDVq/fn1hNQxmsM/F9oaIKA22P8MpAI47y5cv14IFC/Sd73yn6FIyYzgFwHHnxhtvPObywFQN2xO3fb/tXbaPuafU9lLbYfvU0SkPAPBRKhlOeUDSvIErbc+Q9FlJv825JgBAhYYN8YhYJ+ntQTbdI+l2SZypAYCCVHVi0/ZVknZExKac6wEAjMCIQ9z2SZLukvRPFe6/2Han7c6+vr6RNgfgOGHn+6hEXV2d2tvbNWvWLH3pS1/SO++8o87OTt18883Dvvbiiy/OeMT5qKYnfrakVkmbbPdIapa00fZfDLZzRKyIiFJElJqamqqvFAByduKJJ6qrq0ubN2/WCSecoOXLl6tUKukHP/jBsK89cobCIo04xCPi5YiYGhEtEdEiqVdSR0S8lXt1AFAjl156qbZv337U1LTf/va3dd111+myyy7TWWeddVS4T548WVL/FLNz585VR0eH2tra9OSTT0rqn5Z25syZWrRokc4991wtXLhQv/jFLzRnzhydc845ud1kVMklhg9L+pWk82z32r4+l5YBYIw4ePCgnn76abW1tR2zrbu7W88884zWr1+vu+++WwcOHDhqe2Njo5544glt3LhRa9as0dKlSw/PFb59+3YtXbpU3d3d6u7u1qpVq/Tcc89p2bJl+u53v5tL7cPe7BMRC4bZ3pJLJQBQY++++67a29sl9ffEr7/++mOGSS6//HI1NDSooaFBU6dO1c6dOw9PKStJEaG77rpL69at04QJE7Rjxw7t3LlTktTa2nr4P4YLLrhAc+fOlW21tbWpp6cnl2Pgjk0Ax60Px8Q/ynBTyK5cuVJ9fX3asGGD6uvr1dLScng624FT1x45rS1T0QLAGLB3715NnTpV9fX1WrNmjV5//fWatk9PHMCYUMMJVXPh8nWMCxcu1BVXXKG2tjaVSiXNnDmztnUwFS0gpqItQNFT0Waxe/dudXR0jEqvm6loAWAUvfHGG7rooot02223FV2KJIZTAGBEpk+fftQXIBeNnjiAwtRyODcF1XwehDiAQjQ2Nmr37t0EeVlEaPfu3WpsbBzR6xhOAVCI5uZm9fb2ionx/l9jY+NRNxJVghAHUIj6+nq1trYWXUbyGE4BgIQR4gCQMEIcABJGiANAwghxAEgYIQ4ACSPEASBhhDgAJIwQB4CEVfJFyffb3mV78xHr/sV2t+3/sf2E7ZNHt0wAwGAq6Yk/IGnegHWrJc2KiL+U9IqkO3OuCwBQgWFDPCLWSXp7wLqfR8SH3/L5a0kjm7EFAJCLPMbEr5P09FAbbS+23Wm7k9nKACBfmULc9j9KOihp5VD7RMSKiChFRKmpqSlLcwCAAaqeitb2IknzJc0NZnUHgEJUFeK250m6XdLfRMQ7+ZYEAKhUJZcYPizpV5LOs91r+3pJ/yZpiqTVtrtsLx/lOgEAgxi2Jx4RCwZZfd8o1AIAGCHu2ASAhBHiAJAwQhwAEkaIA0DCCHEASBghDgAJI8QBIGGEOAAkjBAHgIQR4gCQMEIcABJGiANAwghxAEgYIQ4ACSPEASBhhDgAJIwQB4CEEeIAkDBCHAASVskXJd9ve5ftzUes+3Pbq22/Wv758dEtEwAwmEp64g9Imjdg3R2Sno2IcyQ9W14GANTYsCEeEeskvT1g9VWSHiw/f1DSF3KuCwBQgYlVvu60iHiz/PwtSacNtaPtxZIWS9IZZ5xRZXPjzCqPfhtfjtFvQxpfxwIkKPOJzYgISUP+lkXEiogoRUSpqakpa3MAgCNUG+I7bU+TpPLPXfmVBACoVLUh/lNJXys//5qkJ/MpBwAwEpVcYviwpF9JOs92r+3rJf2zpM/YflXSp8vLAIAaG/bEZkQsGGLT3JxrAQCMEHdsAkDCCHEASBghDgAJI8QBIGGEOAAkjBAHgIQR4gCQMEIcABJW7SyGtVeL2fIkZswDkBR64gCQMEIcABJGiANAwghxAEgYIQ4ACSPEASBhhDgAJIwQB4CEEeIAkLBMIW77VttbbG+2/bDtxrwKAwAMr+oQt326pJsllSJilqQ6SdfmVRgAYHhZh1MmSjrR9kRJJ0l6I3tJAIBKVR3iEbFD0jJJv5X0pqS9EfHzgfvZXmy703ZnX19f9ZUCAI6RZTjl45KuktQqabqkSba/MnC/iFgREaWIKDU1NVVfKQDgGFmGUz4t6X8joi8iDkh6XNLF+ZQFAKhElhD/raS/tn2SbUuaK2lbPmUBACqRZUz8RUmPStoo6eXye63IqS4AQAUyfbNPRHxL0rdyqgUAMELcsQkACSPEASBhhDgAJIwQB4CEEeIAkDBCHAASRogDQMIIcQBIGCEOAAkjxAEgYYQ4ACSMEAeAhBHiAJAwQhwAEkaIA0DCCHEASBghDgAJI8QBIGGEOAAkLFOI2z7Z9qO2u21vs31RXoUBAIaX6YuSJf2rpJ9FxNW2T5B0Ug41AQAqVHWI2/6YpE9KWiRJEfG+pPfzKQsAUIkswymtkvok/cj2S7bvtT1p4E62F9vutN3Z19eXoTmMhF2bB5C61H9XsoT4REkdkn4YEbMl/UnSHQN3iogVEVGKiFJTU1OG5gAAA2UJ8V5JvRHxYnn5UfWHOgCgRqoO8Yh4S9LvbJ9XXjVX0tZcqgIAVCTr1SnfkLSyfGXKa5K+nr0kAEClMoV4RHRJKuVUCwBghLhjEwASRogDQMIIcQBIGCEOAAkjxAEgYYQ4ACSMEAeAhBHiAJCwrHdsAhiBWsz8GDH6bdTMqlpMlZn2B0ZPHAASRogDQMIIcQBIGCEOAAkjxAEgYYQ4ACSMEAeAhBHiAJAwQhwAEpY5xG3X2X7J9lN5FAQAqFwePfFbJG3L4X0AACOUKcRtN0u6XNK9+ZQDABiJrD3x70u6XdKhHGoBAIxQ1SFue76kXRGxYZj9FtvutN3Z19dXbXMAgEFk6YnPkXSl7R5Jj0j6lO2fDNwpIlZERCkiSk1NTRmaAwAMVHWIR8SdEdEcES2SrpX0y4j4Sm6VAQCGxXXiAJCwXL7ZJyLWSlqbx3sBACpHTxwAEkaIA0DCCHEASBghDgAJI8QBIGGEOAAkjBAHgIQR4gCQsFxu9gFGkz36bcTK0W+jZlbV4AP7cox+G6gIPXEASBghDgAJI8QBIGGEOAAkjBAHgIQR4gCQMEIcABJGiANAwghxAEgYIQ4ACas6xG3PsL3G9lbbW2zfkmdhAIDhZZk75aCkpRGx0fYUSRtsr46IrTnVBgAYRtU98Yh4MyI2lp//UdI2SafnVRgAYHi5jInbbpE0W9KLg2xbbLvTdmdfX18ezY0qe/QfAJCXzCFue7KkxyR9MyL+MHB7RKyIiFJElJqamrI2BwA4QqYQt12v/gBfGRGP51MSAKBSWa5OsaT7JG2LiO/lVxIAoFJZeuJzJH1V0qdsd5Uff5tTXQCAClR9iWFEPCeJ03QAUCDu2ASAhBHiAJAwQhwAEkaIA0DCCHEASBghDgAJI8QBIGGEOAAkjBAHMGK1mO2TGT8rQ4gDQMIIcQBIGCEOAAkjxAEgYYQ4ACSMEAeAhBHiAJAwQhwAEkaIA0DCCHEASFimELc9z/ZvbG+3fUdeRQEAKlN1iNuuk/Tvkj4v6ROSFtj+RF6FAQCGl6UnfqGk7RHxWkS8L+kRSVflUxYAoBKOiOpeaF8taV5E/F15+auS/ioilgzYb7GkxeXF8yT9pvpyR+xUSb+vYXujabwcy3g5DoljGYvGy3FIRx/LmRHRNNhOE0e7iohYIWnFaLczGNudEVEqou28jZdjGS/HIXEsY9F4OQ6p8mPJMpyyQ9KMI5aby+sAADWSJcT/W9I5tlttnyDpWkk/zacsAEAlqh5OiYiDtpdIekZSnaT7I2JLbpXlo5BhnFEyXo5lvByHxLGMRePlOKQKj6XqE5sAgOJxxyYAJIwQB4CEjcsQH0/TAdi+3/Yu25uLriUL2zNsr7G91fYW27cUXVO1bDfaXm97U/lY7i66pixs19l+yfZTRdeShe0e2y/b7rLdWXQ9Wdg+2fajtrttb7N90ZD7jrcx8fJ0AK9I+oykXvVfRbMgIrYWWliVbH9S0j5JD0XErKLrqZbtaZKmRcRG21MkbZD0hRT/XWxb0qSI2Ge7XtJzkm6JiF8XXFpVbP+DpJKkP4uI+UXXUy3bPZJKEZH8zT62H5T0XxFxb/nqv5MiYs9g+47Hnvi4mg4gItZJervoOrKKiDcjYmP5+R8lbZN0erFVVSf67Ssv1pcfSfaGbDdLulzSvUXXgn62Pybpk5Luk6SIeH+oAJfGZ4ifLul3Ryz3KtGwGK9st0iaLenFYiupXnkIokvSLkmrIyLVY/m+pNslHSq6kByEpJ/b3lCe7iNVrZL6JP2oPMx1r+1JQ+08HkMcY5jtyZIek/TNiPhD0fVUKyI+iIh29d+pfKHt5Ia6bM+XtCsiNhRdS04uiYgO9c+s+vflocgUTZTUIemHETFb0p8kDXlubzyGONMBjFHl8ePHJK2MiMeLricP5T9z10iaV3QtVZgj6cryWPIjkj5l+yfFllS9iNhR/rlL0hPqH1pNUa+k3iP+untU/aE+qPEY4kwHMAaVTwbeJ2lbRHyv6HqysN1k++Ty8xPVfxK9u9iqRi4i7oyI5ohoUf/vyS8j4isFl1UV25PKJ8xVHnr4rKQkr+iKiLck/c72eeVVcyUNeQHAqM9iWGuJTAdQMdsPS7pM0qm2eyV9KyLuK7aqqsyR9FVJL5fHkiXproj4zwJrqtY0SQ+Wr4SaIOk/IiLpy/PGgdMkPdHfV9BESasi4mfFlpTJNyStLHdEX5P09aF2HHeXGALA8WQ8DqcAwHGDEAeAhBHiAJAwQhwAEkaIA0DCCHEASBghDgAJ+z8ko7jGMQUr0AAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.title(\"Persentase Ketersediaan Buku\")\n",
        "plt.pie(varJumlah,labels=varLabel, autopct='%1.1f%%',\n",
        "        shadow=True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 264
        },
        "id": "tgbIUuLE0j8H",
        "outputId": "beb45b61-021a-473f-a3b5-df80c1b93b35"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}