Desafios Python Flavio

Desafio_01.ipynb

@@ -34,7 +34,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/WittmannF/br-data-science/blob/master/python/challenges/Desafio_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/Frascino/br-python-challenges/blob/master/Desafio_01.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -57,17 +57,15 @@
         "colab": {}
       },
       "source": [
+        "# Solução via Data Frame\n",
         "palavras = [\n",
         "   'red', 'green', 'black', 'pink', 'black', 'white', 'black', 'eyes',\n",
         "   'white', 'black', 'orange', 'pink', 'pink', 'red', 'red', 'white', 'orange',\n",
         "   'white', \"black\", 'pink', 'green', 'green', 'pink', 'green', 'pink',\n",
         "   'white', 'orange', \"orange\", 'red'\n",
-        "]\n",
-        "\n",
-        "\n",
-        "# Seu código"
+        "]\n"
       ],
-      "execution_count": 0,
+      "execution_count": 17,
       "outputs": []
     },
     {
@@ -78,10 +76,196 @@
         "colab": {}
       },
       "source": [
-        ""
+        "import numpy as np\n",
+        "import pandas as pd"
       ],
-      "execution_count": 0,
+      "execution_count": 18,
       "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "k1u6Ft_XE3W9",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 266
+        },
+        "outputId": "9f1b5ce8-d148-40bc-ed94-9235e2fb873a"
+      },
+      "source": [
+        "df = pd.DataFrame({'cor':palavras})\n",
+        "df['num'] = 1\n",
+        "df2 = df.groupby(['cor'],as_index=False).agg({'num':'count'}).sort_values(['num'],ascending=False)\n",
+        "df2"
+      ],
+      "execution_count": 19,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\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>cor</th>\n",
+              "      <th>num</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>pink</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>black</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>white</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>green</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>orange</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>red</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>eyes</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      cor  num\n",
+              "4    pink    6\n",
+              "0   black    5\n",
+              "6   white    5\n",
+              "2   green    4\n",
+              "3  orange    4\n",
+              "5     red    4\n",
+              "1    eyes    1"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 19
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "4FuxyViJ55-g",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 136
+        },
+        "outputId": "fffd92b0-c17a-4dad-97b9-b91c1c59ed36"
+      },
+      "source": [
+        "# Solução via set\n",
+        "palavras_set = set(palavras)\n",
+        "palavras_set\n",
+        "for i in palavras_set:\n",
+        "  print(i,palavras.count(i))"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "green 4\n",
+            "black 5\n",
+            "orange 4\n",
+            "red 4\n",
+            "white 5\n",
+            "pink 6\n",
+            "eyes 1\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "sq_6g4FD1guf",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 136
+        },
+        "outputId": "856311b3-5935-468c-b9ad-441d335e9092"
+      },
+      "source": [
+        "# Solução via RE\n",
+        "import re\n",
+        "\n",
+        "my_string = 'red green black pink black white black eyes white black orange pink pink red red white orange white black pink green green pink green pink white orange orange red'\n",
+        "\n",
+        "words = re.findall(r'\\w+', my_string)\n",
+        "from collections import Counter\n",
+        "\n",
+        "cap_words = [word.upper() for word in words] #capitalizes all the words\n",
+        "\n",
+        "word_counts = Counter(cap_words)\n",
+        "word_counts"
+      ],
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Counter({'BLACK': 5,\n",
+              "         'EYES': 1,\n",
+              "         'GREEN': 4,\n",
+              "         'ORANGE': 4,\n",
+              "         'PINK': 6,\n",
+              "         'RED': 4,\n",
+              "         'WHITE': 5})"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 21
+        }
+      ]
     }
   ]
-}
+}

Desafio_02.ipynb

@@ -34,7 +34,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/WittmannF/br-data-science/blob/master/python/challenges/Desafio_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/Frascino/br-python-challenges/blob/master/Desafio_02.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -68,8 +68,39 @@
         "def convert_to_sec(number):\n",
         "    pass # Seu código"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "3MzoZgJJIh9V",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 51
+        },
+        "outputId": "bf56533f-62cb-4c92-c555-467abd0b3b27"
+      },
+      "source": [
+        "def convert_to_seconds(t):\n",
+        "    seconds = t * 3600\n",
+        "    return seconds\n",
+        "hours = int(input('How many hours do you want to convert into seconds? '))\n",
+        "\n",
+        "print(convert_to_seconds(hours))"
+      ],
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "How many hours do you want to convert into seconds? 10\n",
+            "36000\n"
+          ],
+          "name": "stdout"
+        }
+      ]
     }
   ]
-}
+}

Desafio_03.ipynb

@@ -34,7 +34,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/WittmannF/br-data-science/blob/master/python/challenges/Desafio_3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/Frascino/br-python-challenges/blob/master/Desafio_03.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -57,25 +57,95 @@
         "colab": {}
       },
       "source": [
-        "lista = [1,2,3,4,3,30,3,4,5,6,9,3,2,1,2,4,5,15,6,6,3,13,4,45,5]\n",
-        "\n",
-        "# Seu código"
+        "# Usando o unique\n",
+        "lista = [1,2,3,4,3,30,3,4,5,6,9,3,2,1,2,4,5,15,6,6,3,13,4,45,5]\n"
       ],
-      "execution_count": 0,
+      "execution_count": 1,
       "outputs": []
     },
     {
       "cell_type": "code",
       "metadata": {
         "id": "wo2rA-NriFtO",
         "colab_type": "code",
-        "colab": {}
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "ec7f1a7f-ae06-41b3-94ae-d61de535a349"
       },
       "source": [
-        ""
+        "import numpy as np\n",
+        "lista = [1,2,3,4,3,30,3,4,5,6,9,3,2,1,2,4,5,15,6,6,3,13,4,45,5]\n",
+        "print(np.unique(lista))"
       ],
-      "execution_count": 0,
-      "outputs": []
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "[ 1  2  3  4  5  6  9 13 15 30 45]\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "7yqVCMcfJXXi",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "966601f4-080a-4ca2-db27-703b1dbcb11a"
+      },
+      "source": [
+        "print(-np.sort(-np.unique(lista)))"
+      ],
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "[45 30 15 13  9  6  5  4  3  2  1]\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "EuqyYQg_75Ug",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "df1c3cc1-82f5-4923-f837-f8d4e562bb70"
+      },
+      "source": [
+        "# Usando o set\n",
+        "lista_set = set(lista)\n",
+        "lista_set\n"
+      ],
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "{1, 2, 3, 4, 5, 6, 9, 13, 15, 30, 45}"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 7
+        }
+      ]
     }
   ]
-}
+}