{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "aula-1.ipynb", "version": "0.3.2", "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "fDKVhhOuTkAn", "colab_type": "text" }, "source": [ "# Alucar - Analisando as vendas" ] }, { "cell_type": "code", "metadata": { "id": "yAYx3wCTS7Md", "colab_type": "code", "colab": {} }, "source": [ "import pandas as pd" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "wGa33AeSTp1f", "colab_type": "code", "outputId": "c447d939-ad56-4e4d-de7d-57c43fe2d610", "colab": { "base_uri": "https://localhost:8080/", "height": 195 } }, "source": [ "pd.read_csv('alucar.csv').head()" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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mesvendas
02017-01-3110
12017-02-2820
22017-03-3133
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42017-05-3163
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" ], "text/plain": [ " mes vendas\n", "0 2017-01-31 10\n", "1 2017-02-28 20\n", "2 2017-03-31 33\n", "3 2017-04-30 47\n", "4 2017-05-31 63" ] }, "metadata": { "tags": [] }, "execution_count": 2 } ] }, { "cell_type": "code", "metadata": { "id": "6V7NCvK7TwAq", "colab_type": "code", "colab": {} }, "source": [ "alucar = pd.read_csv('alucar.csv')" ], "execution_count": 0, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "jE-QykNmT1Al", "colab_type": "code", "outputId": "7547944a-755e-4858-a13e-92489b2a305b", "colab": { "base_uri": "https://localhost:8080/", "height": 34 } }, "source": [ "print('Quantidade de linhas e colunas:', alucar.shape)" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "Quantidade de linhas e colunas: (24, 2)\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "9AgLDL-HT2LS", "colab_type": "code", "outputId": "4e53ee0d-94cc-4f22-b4d5-92911b31cd03", "colab": { "base_uri": "https://localhost:8080/", "height": 34 } }, "source": [ "print('Quantidade de dados nulos:', alucar.isna().sum().sum())" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "Quantidade de dados nulos: 0\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "Y5OJ9F7PUVGR", "colab_type": "code", "outputId": "888cb2da-e520-4b4e-ce30-be34b1a529ae", "colab": { "base_uri": "https://localhost:8080/", "height": 67 } }, "source": [ "alucar.dtypes" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "mes object\n", "vendas int64\n", "dtype: object" ] }, "metadata": { "tags": [] }, "execution_count": 6 } ] }, { "cell_type": "code", "metadata": { "id": "gUXIRjDPUg1i", "colab_type": "code", "outputId": "a84b12ac-3828-440c-bfab-ceb0bab27916", "colab": { "base_uri": "https://localhost:8080/", "height": 67 } }, "source": [ "alucar['mes'] = pd.to_datetime(alucar['mes'])\n", "alucar.dtypes" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "mes datetime64[ns]\n", "vendas int64\n", "dtype: object" ] }, "metadata": { "tags": [] }, "execution_count": 7 } ] }, { "cell_type": "code", "metadata": { "id": "H2fskVHtUvjY", "colab_type": "code", "outputId": "526a9664-3a3b-4bb3-f6dc-9e3f876cf3d2", "colab": { "base_uri": "https://localhost:8080/", "height": 238 } }, "source": [ "!pip install seaborn==0.9.0\n", "import seaborn as sns\n", "%matplotlib inline\n", "from matplotlib import pyplot as plt" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "Requirement already satisfied: seaborn==0.9.0 in /usr/local/lib/python3.6/dist-packages (0.9.0)\n", "Requirement already satisfied: matplotlib>=1.4.3 in /usr/local/lib/python3.6/dist-packages (from seaborn==0.9.0) (3.0.2)\n", "Requirement already satisfied: scipy>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from seaborn==0.9.0) (1.1.0)\n", "Requirement already satisfied: numpy>=1.9.3 in /usr/local/lib/python3.6/dist-packages (from seaborn==0.9.0) (1.14.6)\n", "Requirement already satisfied: pandas>=0.15.2 in /usr/local/lib/python3.6/dist-packages (from seaborn==0.9.0) (0.22.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn==0.9.0) (1.0.1)\n", "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn==0.9.0) (0.10.0)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn==0.9.0) (2.3.1)\n", "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn==0.9.0) (2.5.3)\n", "Requirement already satisfied: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas>=0.15.2->seaborn==0.9.0) (2018.9)\n", "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver>=1.0.1->matplotlib>=1.4.3->seaborn==0.9.0) (40.6.3)\n", "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from cycler>=0.10->matplotlib>=1.4.3->seaborn==0.9.0) (1.11.0)\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "gs2XTy7hVFaF", "colab_type": "code", "outputId": "174e6190-be56-449a-c757-6c5071aa5ec0", "colab": { "base_uri": "https://localhost:8080/", "height": 34 } }, "source": [ "print(sns.__version__)" ], "execution_count": 0, "outputs": [ { "output_type": "stream", "text": [ "0.9.0\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "GGLc-oceVNGp", "colab_type": "code", "outputId": "b6388e72-81e9-430e-cf2e-5b6a7fa57120", "colab": { "base_uri": "https://localhost:8080/", "height": 300 } }, "source": [ "sns.lineplot(x='mes', y='vendas', data=alucar)" ], "execution_count": 0, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "" ] }, "metadata": { "tags": [] }, "execution_count": 10 }, { "output_type": "display_data", "data": { "image/png": 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z06hS2bjhlHaMPrUdjWpXi3Q0ETkKlYWUmo279vPcV8lMTEzBzLjmxDb8+vT2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\n", "text/plain": [ "
" ] }, "metadata": { "tags": [] } } ] }, { "cell_type": "code", "metadata": { "id": "e8AjViWaZSqG", "colab_type": "code", "outputId": "01c0b5dc-5830-4557-dc45-ed596b08617a", "colab": { "base_uri": "https://localhost:8080/", "height": 412 } }, "source": [ "sns.set_palette('Accent')\n", "sns.set_style('darkgrid')\n", "ax = sns.lineplot(x='mes', y='vendas', data=alucar)\n", "ax.figure.set_size_inches(12,6)\n", "ax.set_title('Vendas Alucar de 2017 e 2018', loc='left', fontsize=18)\n", "ax.set_xlabel('Tempo', fontsize=14)\n", "ax.set_ylabel('Vendas (R$)', fontsize=14)\n", "ax = ax" ], "execution_count": 0, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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wfft2FBQUICcnB4sWLarWJPj6+gK408AGBQXV2fk9PDxgZ2dX45SMyqvpd/vll1+g1+vx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\nIgoThm0iIiIiojBh2CYiIiIiCpP/D6OvtGyiUjXJAAAAAElFTkSuQmCC\n", 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