In [2]:

    

import numpy as np

import pandas as pd

from pandas import Series, DataFrame


    

In [3]:

    

obj = Series([3,6,9,12])


    

In [4]:

    

obj


    

    
Out[4]:





0     3
1     6
2     9
3    12
dtype: int64

In [5]:

    

obj.values


    

    
Out[5]:





array([ 3,  6,  9, 12])

In [6]:

    

obj.index


    

    
Out[6]:





RangeIndex(start=0, stop=4, step=1)

In [12]:

    

ww2_cas = Series([8700000, 4300000, 3000000, 2100000, 400000], index=['USSR', 'Germany', 'China', 'Japan', 'USA'])


    

In [13]:

    

ww2_cas


    

    
Out[13]:





USSR       8700000
Germany    4300000
China      3000000
Japan      2100000
USA         400000
dtype: int64

In [14]:

    

ww2_cas['USA']


    

    
Out[14]:





400000

In [15]:

    

ww2_cas[ww2_cas > 4000000]


    

    
Out[15]:





USSR       8700000
Germany    4300000
dtype: int64

In [16]:

    

'USSR' in ww2_cas


    

    
Out[16]:





True

In [17]:

    

ww2_dict = ww2_cas.to_dict()

ww2_dict


    

    
Out[17]:





{'China': 3000000,
 'Germany': 4300000,
 'Japan': 2100000,
 'USA': 400000,
 'USSR': 8700000}

In [18]:

    

ww2_series = Series(ww2_dict)


    

In [19]:

    

ww2_series


    

    
Out[19]:





China      3000000
Germany    4300000
Japan      2100000
USA         400000
USSR       8700000
dtype: int64

In [20]:

    

countries = ['China', 'Germany', 'Japan', 'USA', 'USSR', 'Argentina']


    

In [22]:

    

obj2 = Series(ww2_dict, index = countries) 

obj2


    

    
Out[22]:





China        3000000.0
Germany      4300000.0
Japan        2100000.0
USA           400000.0
USSR         8700000.0
Argentina          NaN
dtype: float64

In [23]:

    

pd.isnull(obj2)


    

    
Out[23]:





China        False
Germany      False
Japan        False
USA          False
USSR         False
Argentina     True
dtype: bool

In [24]:

    

pd.notnull(obj2)


    

    
Out[24]:





China         True
Germany       True
Japan         True
USA           True
USSR          True
Argentina    False
dtype: bool

In [25]:

    

ww2_series


    

    
Out[25]:





China      3000000
Germany    4300000
Japan      2100000
USA         400000
USSR       8700000
dtype: int64

In [26]:

    

ww2_series + obj2


    

    
Out[26]:





Argentina           NaN
China         6000000.0
Germany       8600000.0
Japan         4200000.0
USA            800000.0
USSR         17400000.0
dtype: float64

In [27]:

    

obj2.name = 'World War 2 Casualties'


    

In [28]:

    

obj2


    

    
Out[28]:





China        3000000.0
Germany      4300000.0
Japan        2100000.0
USA           400000.0
USSR         8700000.0
Argentina          NaN
Name: World War 2 Casualties, dtype: float64

In [29]:

    

obj2.index.name = 'Countries'


    

In [30]:

    

obj2


    

    
Out[30]:





Countries
China        3000000.0
Germany      4300000.0
Japan        2100000.0
USA           400000.0
USSR         8700000.0
Argentina          NaN
Name: World War 2 Casualties, dtype: float64

In [ ]: