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kshirsagarsiddharth/read_csv.ipynb

Created December 24, 2019 11:00
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read_csv.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### i.sep:specify a custom delimiter,default comma.\n",
"### ii.usecols:list of columns to read\n",
"### iii.header:specify the header row,no header etc\n",
"### iv.skiprows:skipping rows in the csv file"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"emp_df = pd.read_csv('employees.csv')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" .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>Emp_ID</th>\n",
" <th>Emp_Name</th>\n",
" <th>Emp_Role</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Pankaj Kumar</td>\n",
" <td>Admin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>David Lee</td>\n",
" <td>Editor</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>Lisa Ray</td>\n",
" <td>Author</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Emp_ID Emp_Name Emp_Role\n",
"0 1 Pankaj Kumar Admin\n",
"1 2 David Lee Editor\n",
"2 3 Lisa Ray Author"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"emp_df"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"emp_df = pd.read_csv('employees.csv',sep='#')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"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",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\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>Emp_ID,Emp_Name,Emp_Role</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
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" <td>1,Pankaj Kumar,Admin</td>\n",
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" <td>3,Lisa Ray,Author</td>\n",
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"text/plain": [
" Emp_ID,Emp_Name,Emp_Role\n",
"0 1,Pankaj Kumar,Admin\n",
"1 2,David Lee,Editor\n",
"2 3,Lisa Ray,Author"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"emp_df"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"emp_df = pd.read_csv('employees.csv',usecols=['Emp_Name','Emp_Role'])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Emp_Name</th>\n",
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" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
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" <td>Pankaj Kumar</td>\n",
" <td>Admin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>David Lee</td>\n",
" <td>Editor</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Lisa Ray</td>\n",
" <td>Author</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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"text/plain": [
" Emp_Name Emp_Role\n",
"0 Pankaj Kumar Admin\n",
"1 David Lee Editor\n",
"2 Lisa Ray Author"
]
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"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
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],
"source": [
"emp_df"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"emp_df = pd.read_csv('employees.csv',header=None)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" <td>Emp_ID</td>\n",
" <td>Emp_Name</td>\n",
" <td>Emp_Role</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>Pankaj Kumar</td>\n",
" <td>Admin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>David Lee</td>\n",
" <td>Editor</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>Lisa Ray</td>\n",
" <td>Author</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
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"text/plain": [
" 0 1 2\n",
"0 Emp_ID Emp_Name Emp_Role\n",
"1 1 Pankaj Kumar Admin\n",
"2 2 David Lee Editor\n",
"3 3 Lisa Ray Author"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
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"source": [
"emp_df"
]
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{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"emp_df = pd.read_csv('employees.csv',header=None,usecols=[1])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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"<div>\n",
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" <td>David Lee</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>Lisa Ray</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
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" 1\n",
"0 Emp_Name\n",
"1 Pankaj Kumar\n",
"2 David Lee\n",
"3 Lisa Ray"
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"emp_df"
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{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"emp_df = pd.read_csv('employees.csv',skiprows=[2,3])"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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"text/plain": [
" Emp_ID Emp_Name Emp_Role\n",
"0 1 Pankaj Kumar Admin"
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"source": [
"emp_df"
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{
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"metadata": {},
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"source": [
"|"
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