Data_Cleaning_Pandas_Assingment.ipynb

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  "metadata": {
    "colab": {
      "name": "Data Cleaning Pandas Assingment.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "X3X8gcQGEowW"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D5v-8jl7EwjJ"
      },
      "source": [
        "df = pd.DataFrame({'From_To': ['LoNDon_paris', 'MAdrid_miLAN',\n",
        "'londON_StockhOlm',\n",
        "\n",
        "'Budapest_PaRis', 'Brussels_londOn'],\n",
        "'FlightNumber': [10045, np.nan, 10065, np.nan, 10085],\n",
        "'RecentDelays': [[23, 47], [], [24, 43, 87], [13], [67, 32]],\n",
        "'Airline': ['KLM(!)', '<Air France> (12)', '(British Airways. )',\n",
        "'12. Air France', '\"Swiss Air\"']})"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "TnjSqCAgE_Lp",
        "outputId": "03b31b7a-a913-4917-fc9c-f9e16f406e78"
      },
      "source": [
        "df"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>From_To</th>\n",
              "      <th>FlightNumber</th>\n",
              "      <th>RecentDelays</th>\n",
              "      <th>Airline</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>LoNDon_paris</td>\n",
              "      <td>10045.0</td>\n",
              "      <td>[23, 47]</td>\n",
              "      <td>KLM(!)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>MAdrid_miLAN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[]</td>\n",
              "      <td>&lt;Air France&gt; (12)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>londON_StockhOlm</td>\n",
              "      <td>10065.0</td>\n",
              "      <td>[24, 43, 87]</td>\n",
              "      <td>(British Airways. )</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Budapest_PaRis</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[13]</td>\n",
              "      <td>12. Air France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Brussels_londOn</td>\n",
              "      <td>10085.0</td>\n",
              "      <td>[67, 32]</td>\n",
              "      <td>\"Swiss Air\"</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            From_To  FlightNumber  RecentDelays              Airline\n",
              "0      LoNDon_paris       10045.0      [23, 47]               KLM(!)\n",
              "1      MAdrid_miLAN           NaN            []    <Air France> (12)\n",
              "2  londON_StockhOlm       10065.0  [24, 43, 87]  (British Airways. )\n",
              "3    Budapest_PaRis           NaN          [13]       12. Air France\n",
              "4   Brussels_londOn       10085.0      [67, 32]          \"Swiss Air\""
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sqJyZcl0Fq51"
      },
      "source": [
        "1.Some values in the the FlightNumber column are missing. These numbers are\n",
        "meant to increase by 10 with each row so 10055 and 10075 need to be put in\n",
        "place. Fill in these missing numbers and make the column an integer column\n",
        "(instead of a float column)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cHv0ZAorFRYJ"
      },
      "source": [
        "df['FlightNumber'].fillna(0,inplace=True)"
      ],
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "99dx98rpFALl"
      },
      "source": [
        "df['FlightNumber']=df['FlightNumber']+10"
      ],
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Uauv3dC7FzBo",
        "outputId": "0b83b4ef-73c6-4b50-a6e4-2df9976ea5ae"
      },
      "source": [
        "df['FlightNumber'].astype('float')"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    10055.0\n",
              "1       10.0\n",
              "2    10075.0\n",
              "3       10.0\n",
              "4    10095.0\n",
              "Name: FlightNumber, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QpJJkUHIFOjB",
        "outputId": "68b98129-1529-4d24-c792-779890d64abe"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 5 entries, 0 to 4\n",
            "Data columns (total 4 columns):\n",
            " #   Column        Non-Null Count  Dtype  \n",
            "---  ------        --------------  -----  \n",
            " 0   From_To       5 non-null      object \n",
            " 1   FlightNumber  5 non-null      float64\n",
            " 2   RecentDelays  5 non-null      object \n",
            " 3   Airline       5 non-null      object \n",
            "dtypes: float64(1), object(3)\n",
            "memory usage: 288.0+ bytes\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ifNeYHK2F9xS"
      },
      "source": [
        "2. The From_To column would be better as two separate columns! Split each\n",
        "string on the underscore delimiter _ to give a new temporary DataFrame with\n",
        "the correct values. Assign the correct column names to this temporary\n",
        "DataFrame."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J1NEoW5hFp23"
      },
      "source": [
        "df[['From','To']] = df.From_To.str.split(\"_\",expand=True,)"
      ],
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Cz4gLkLVGcHG",
        "outputId": "8a09c4b3-d345-4438-a488-e78e6149eba6"
      },
      "source": [
        "df"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>From_To</th>\n",
              "      <th>FlightNumber</th>\n",
              "      <th>RecentDelays</th>\n",
              "      <th>Airline</th>\n",
              "      <th>From</th>\n",
              "      <th>To</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>LoNDon_paris</td>\n",
              "      <td>10055.0</td>\n",
              "      <td>[23, 47]</td>\n",
              "      <td>KLM(!)</td>\n",
              "      <td>LoNDon</td>\n",
              "      <td>paris</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>MAdrid_miLAN</td>\n",
              "      <td>10.0</td>\n",
              "      <td>[]</td>\n",
              "      <td>&lt;Air France&gt; (12)</td>\n",
              "      <td>MAdrid</td>\n",
              "      <td>miLAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>londON_StockhOlm</td>\n",
              "      <td>10075.0</td>\n",
              "      <td>[24, 43, 87]</td>\n",
              "      <td>(British Airways. )</td>\n",
              "      <td>londON</td>\n",
              "      <td>StockhOlm</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Budapest_PaRis</td>\n",
              "      <td>10.0</td>\n",
              "      <td>[13]</td>\n",
              "      <td>12. Air France</td>\n",
              "      <td>Budapest</td>\n",
              "      <td>PaRis</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Brussels_londOn</td>\n",
              "      <td>10095.0</td>\n",
              "      <td>[67, 32]</td>\n",
              "      <td>\"Swiss Air\"</td>\n",
              "      <td>Brussels</td>\n",
              "      <td>londOn</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            From_To  FlightNumber  ...      From         To\n",
              "0      LoNDon_paris       10055.0  ...    LoNDon      paris\n",
              "1      MAdrid_miLAN          10.0  ...    MAdrid      miLAN\n",
              "2  londON_StockhOlm       10075.0  ...    londON  StockhOlm\n",
              "3    Budapest_PaRis          10.0  ...  Budapest      PaRis\n",
              "4   Brussels_londOn       10095.0  ...  Brussels     londOn\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tdvOJ4AoGea8"
      },
      "source": [
        "3. Notice how the capitalisation of the city names is all mixed up in this\n",
        "temporary DataFrame. Standardise the strings so that only the first letter is\n",
        "uppercase (e.g. \"londON\" should become \"London\".)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cqluxDBSGrKP",
        "outputId": "48f0efb9-fb95-4c69-dfb0-a39a56d69dab"
      },
      "source": [
        "df['From'].apply(lambda x: x.lower()).str.capitalize()"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      London\n",
              "1      Madrid\n",
              "2      London\n",
              "3    Budapest\n",
              "4    Brussels\n",
              "Name: From, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g0AoNeAZHRYk",
        "outputId": "b5ee1d26-a483-455b-b0a0-1dec518e25f3"
      },
      "source": [
        "df['To'].apply(lambda x: x.lower()).str.capitalize()"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        Paris\n",
              "1        Milan\n",
              "2    Stockholm\n",
              "3        Paris\n",
              "4       London\n",
              "Name: To, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ykXgR3gAHXMC"
      },
      "source": [
        "4. Delete the From_To column from df and attach the temporary DataFrame\n",
        "from the previous questions."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "X_kZkZKPHWx6",
        "outputId": "5c462411-b264-4a61-8e00-f8812d2a03d3"
      },
      "source": [
        "df.drop('From_To',axis=1,inplace=True)\n",
        "df"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>FlightNumber</th>\n",
              "      <th>RecentDelays</th>\n",
              "      <th>Airline</th>\n",
              "      <th>From</th>\n",
              "      <th>To</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>10055.0</td>\n",
              "      <td>[23, 47]</td>\n",
              "      <td>KLM(!)</td>\n",
              "      <td>LoNDon</td>\n",
              "      <td>paris</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10.0</td>\n",
              "      <td>[]</td>\n",
              "      <td>&lt;Air France&gt; (12)</td>\n",
              "      <td>MAdrid</td>\n",
              "      <td>miLAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10075.0</td>\n",
              "      <td>[24, 43, 87]</td>\n",
              "      <td>(British Airways. )</td>\n",
              "      <td>londON</td>\n",
              "      <td>StockhOlm</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10.0</td>\n",
              "      <td>[13]</td>\n",
              "      <td>12. Air France</td>\n",
              "      <td>Budapest</td>\n",
              "      <td>PaRis</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10095.0</td>\n",
              "      <td>[67, 32]</td>\n",
              "      <td>\"Swiss Air\"</td>\n",
              "      <td>Brussels</td>\n",
              "      <td>londOn</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   FlightNumber  RecentDelays              Airline      From         To\n",
              "0       10055.0      [23, 47]               KLM(!)    LoNDon      paris\n",
              "1          10.0            []    <Air France> (12)    MAdrid      miLAN\n",
              "2       10075.0  [24, 43, 87]  (British Airways. )    londON  StockhOlm\n",
              "3          10.0          [13]       12. Air France  Budapest      PaRis\n",
              "4       10095.0      [67, 32]          \"Swiss Air\"  Brussels     londOn"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FLGMVZ_wHpXv"
      },
      "source": [
        "5. In the RecentDelays column, the values have been entered into the\n",
        "DataFrame as a list. We would like each first value in its own column, each\n",
        "second value in its own column, and so on. If there isn't an Nth value, the value\n",
        "should be NaN.\n",
        "\n",
        "Expand the Series of lists into a DataFrame named delays, rename the columns\n",
        "delay_1, delay_2, etc. and replace the unwanted RecentDelays column in df\n",
        "with delays."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "COk_Xn44HwTs"
      },
      "source": [
        "delays = df['RecentDelays'].apply(pd.Series)\n",
        "delays.columns = ['delay_{}'.format(n) for n in range(1, len(delays.columns)+1)]\n",
        "df = df.drop('RecentDelays', axis=1).join(delays)"
      ],
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "1VB0FPV7KWr6",
        "outputId": "410cf0f3-8fdd-4292-afd3-dabdb05266e4"
      },
      "source": [
        "df"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>FlightNumber</th>\n",
              "      <th>Airline</th>\n",
              "      <th>From</th>\n",
              "      <th>To</th>\n",
              "      <th>delay_1</th>\n",
              "      <th>delay_2</th>\n",
              "      <th>delay_3</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>10055.0</td>\n",
              "      <td>KLM(!)</td>\n",
              "      <td>LoNDon</td>\n",
              "      <td>paris</td>\n",
              "      <td>23.0</td>\n",
              "      <td>47.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10.0</td>\n",
              "      <td>&lt;Air France&gt; (12)</td>\n",
              "      <td>MAdrid</td>\n",
              "      <td>miLAN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10075.0</td>\n",
              "      <td>(British Airways. )</td>\n",
              "      <td>londON</td>\n",
              "      <td>StockhOlm</td>\n",
              "      <td>24.0</td>\n",
              "      <td>43.0</td>\n",
              "      <td>87.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10.0</td>\n",
              "      <td>12. Air France</td>\n",
              "      <td>Budapest</td>\n",
              "      <td>PaRis</td>\n",
              "      <td>13.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10095.0</td>\n",
              "      <td>\"Swiss Air\"</td>\n",
              "      <td>Brussels</td>\n",
              "      <td>londOn</td>\n",
              "      <td>67.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   FlightNumber              Airline      From  ... delay_1  delay_2  delay_3\n",
              "0       10055.0               KLM(!)    LoNDon  ...    23.0     47.0      NaN\n",
              "1          10.0    <Air France> (12)    MAdrid  ...     NaN      NaN      NaN\n",
              "2       10075.0  (British Airways. )    londON  ...    24.0     43.0     87.0\n",
              "3          10.0       12. Air France  Budapest  ...    13.0      NaN      NaN\n",
              "4       10095.0          \"Swiss Air\"  Brussels  ...    67.0     32.0      NaN\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 66
        }
      ]
    }
  ]
}