Adhira-Deogade

In [1]:
import numpy as np
import pandas as pd

from pandas import Series, DataFrame
Selecting and retrieving data
In [2]:
series_obj = Series(np.arange(8),index=['row 1','row 2','row 3','row 4','row 5','row 6','row 7','row 8'])
series_obj
Out[2]:

Adhira-Deogade

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

Adhira-Deogade

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

Adhira-Deogade

https://github.com/Adhira-Deogade/Data-mining/blob/master/Selecting%20and%20retrieving%20data.ipynb

Adhira-Deogade

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

Adhira-Deogade

####### Import libraries #########

import numpy as np
import pandas as pd

from pandas import Series, DataFrame

Adhira-Deogade

Segment 1 - Filtering and selecting data

import numpy as np
import pandas as pd
​
from pandas import Series, DataFrame
Selecting and retrieving data

series_obj = Series(np.arange(8), index=['row 1', 'row 2','row 3','row 4','row 5', 'row 6', 'row 7', 'row 8'])
series_obj