{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "bPe8tlE4ShtQ" }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "0RJHtTTTS8ak" }, "outputs": [], "source": [ "csv_url = '../Dataset/overall_topten_2012-2013.csv'" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 359 }, "colab_type": "code", "id": "V5PMuIMCVv3S", "outputId": "59b83999-6dee-4a79-c199-452288f8bc14" }, "outputs": [], "source": [ "csv_df = pd.read_csv(csv_url, skiprows=1)\n", "csv_df" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "DzO8pIA3Vwe1" }, "outputs": [], "source": [ "tsv_url = '../Dataset/overall_topten_2012-2013.tsv'" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 359 }, "colab_type": "code", "id": "p8zUaSDuV3zp", "outputId": "76be10ef-078f-4efe-839e-184adde7a7eb" }, "outputs": [], "source": [ "tsv_df = pd.read_csv(tsv_url, skiprows=1, sep='\\t')\n", "tsv_df" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "wgswI12UV3-m" }, "outputs": [], "source": [ "xlsx_url = '../Dataset/overall_topten_2012-2013.xlsx'" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 49 }, "colab_type": "code", "id": "j2iQakbMYK_t", "outputId": "37066af4-21c6-4ea4-9d95-cfa6ccface9c" }, "outputs": [], "source": [ "xlsx_df = pd.read_excel(xlsx_url)\n", "xlsx_df" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 359 }, "colab_type": "code", "id": "OZb8mM7_W5bM", "outputId": "4d5968b0-f5ac-4be3-8ace-0fb51bee18f1" }, "outputs": [], "source": [ "xlsx_df1 = pd.read_excel(xlsx_url, skiprows=1, sheet_name=1)\n", "xlsx_df1" ] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "Exercise1_02.ipynb", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.6" } }, "nbformat": 4, "nbformat_minor": 1 }