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| 1 | + |
| 2 | +# coding: utf-8 |
| 3 | + |
| 4 | +# ### Create Series |
| 5 | + |
| 6 | +# In[2]: |
| 7 | + |
| 8 | + |
| 9 | +# Create an empty series |
| 10 | + |
| 11 | +import pandas as pd |
| 12 | +s= pd.Series() |
| 13 | +print(s) |
| 14 | + |
| 15 | + |
| 16 | +# In[4]: |
| 17 | + |
| 18 | + |
| 19 | +# Example 1 : Create a series from an ndarray |
| 20 | + |
| 21 | +import pandas as pd |
| 22 | +import numpy as np |
| 23 | + |
| 24 | +# Array is created from a list |
| 25 | +data=np.array(['a','b','c','d']) |
| 26 | + |
| 27 | +# A series is created from the array with the default index |
| 28 | +s=pd.Series(data) |
| 29 | +print (s) |
| 30 | + |
| 31 | + |
| 32 | +# In[5]: |
| 33 | + |
| 34 | + |
| 35 | +# Example 2 : Create a series from an ndarray |
| 36 | + |
| 37 | +import pandas as pd |
| 38 | +import numpy as np |
| 39 | + |
| 40 | +# Array is created from a list |
| 41 | +data=np.array(['a','b','c','d']) |
| 42 | + |
| 43 | +# A series is created from the array with the default index |
| 44 | +s=pd.Series(data,index=[100,101,102,103]) |
| 45 | +print (s) |
| 46 | + |
| 47 | + |
| 48 | +# ### Create a series from a dictionary |
| 49 | + |
| 50 | +# In[8]: |
| 51 | + |
| 52 | + |
| 53 | +# Create a series from a dictionary |
| 54 | + |
| 55 | +import pandas as pd |
| 56 | +import numpy as np |
| 57 | + |
| 58 | +# Declare a dictionary wuth keys 'a','b','c' |
| 59 | +aDict={'a':0.,'b':1.,'c':2.} |
| 60 | + |
| 61 | +# Create a series from this dictionary |
| 62 | +s=pd.Series(aDict) |
| 63 | +print (s) |
| 64 | + |
| 65 | + |
| 66 | +# In[10]: |
| 67 | + |
| 68 | + |
| 69 | +# Create a series from a dictionary |
| 70 | + |
| 71 | +import pandas as pd |
| 72 | +import numpy as np |
| 73 | + |
| 74 | +# Declare a dictionary wuth keys 'a','b','c' |
| 75 | +data={'a':0.,'b':1.,'c':2.} |
| 76 | + |
| 77 | +# Create a series from this dictionary with specific indices |
| 78 | +# The dict has only three items |
| 79 | +s=pd.Series(data,index=['b','c','d','a']) |
| 80 | +print (s) |
| 81 | + |
| 82 | + |
| 83 | +# ### Create a series from scalar values |
| 84 | + |
| 85 | +# In[12]: |
| 86 | + |
| 87 | + |
| 88 | +# Create a series from scalar values |
| 89 | + |
| 90 | +import pandas as pd |
| 91 | +import numpy as np |
| 92 | + |
| 93 | +# Create a series |
| 94 | +s=pd.Series(5,index=[0,1,2,3]) |
| 95 | +print (s) |
| 96 | + |
| 97 | + |
| 98 | +# ### Accessing Data from Series with Position |
| 99 | +# |
| 100 | +# |
| 101 | + |
| 102 | +# In[13]: |
| 103 | + |
| 104 | + |
| 105 | +# Data in the series can be accessed similar to that in ndarray |
| 106 | + |
| 107 | +import pandas as pd |
| 108 | +s=pd.Series([1,2,3,4,5],index=['a','b','c','d','e']) |
| 109 | + |
| 110 | +#retrieve the first element |
| 111 | +print(s[0]) |
| 112 | + |
| 113 | + |
| 114 | +# In[14]: |
| 115 | + |
| 116 | + |
| 117 | +import pandas as pd |
| 118 | +s=pd.Series([1,2,3,4,5],index=['a','b','c','d','e']) |
| 119 | + |
| 120 | +#retrieve the first 3 elements from 0 -3 not including 3 |
| 121 | +# retrieve 0,1,2 |
| 122 | +print(s[:3]) |
| 123 | + |
| 124 | +print('\n') |
| 125 | + |
| 126 | +#retrieve the last 3 elements |
| 127 | +print(s[-3:]) |
| 128 | + |
| 129 | +print('\n') |
| 130 | + |
| 131 | +#retrieve a single element at a specific index |
| 132 | +print(s['a']) |
| 133 | +print('\n') |
| 134 | + |
| 135 | +#retrieve multiple elements using a list of index labels |
| 136 | +print(s[['a','c','d']]) |
| 137 | + |
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