Series.py

import pandas as pd
from pandas import Series
import numpy as np

object = Series([5, 10, 15, 20])
#print object
#print object.value
#print object.index

#use numpy_arrays to series
data_array = np.array(['a', 'b', 'c'])
s = Series(data_array)
# print s

# custom index
s = Series(data_array, index=[100, 101, 102])
# print s
s = Series(data_array, index=['index1', 'index2', 'index3'])
# print s

#use real life example
revenue = Series([20, 80, 40, 35], index=['ola', 'uber', 'grab', 'gojek'])

#print revenue['ola']
#print revenue[revenue == 35]

#use boolean conditions
#print 'lyft' in revenue

revenue_dict = revenue.to_dict()
print revenue_dict

#nan value very important tool in data analytic
index_2 = ['ola', 'uber', 'grab', 'gojek', 'lyft']
revenue2 = Series(revenue, index_2)
print revenue2

print pd.isnull(revenue2)

print pd.notnull(revenue2)

#addition of series
print revenue + revenue2

#assigning names to indexes
revenue2.name = "Company Name"
revenue2.index.name = "Company Name"
print revenue2