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fenago f3b24b4b7f added
2021-02-07 15:16:01 +05:00

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{
"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
}