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Creating a Pandas Series
  • Difficulty Level : Easy
  • Last Updated : 17 Jan, 2019

Pandas Series is a one-dimensional labelled array capable of holding data of any type (integer, string, float, python objects, etc.). The axis labels are collectively called index.

Labels need not be unique but must be a hashable type. The object supports both integer and label-based indexing and provides a host of methods for performing operations involving the index.

Creating an empty Series :
A basic series, which can be created is an Empty Series.




# import pandas as pd
import pandas as pd
  
# Creating empty series
ser = pd.Series()
  
print(ser)


Output :

Series([], dtype: float64)

 
Creating a series from array:
In order to create a series from array, we have to import a numpy module and have to use array() function.






# import pandas as pd
import pandas as pd
  
# import numpy as np
import numpy as np
  
# simple array
data = np.array(['g', 'e', 'e', 'k', 's'])
  
ser = pd.Series(data)
print(ser)


Output :


 
Creating a series from array with index :
In order to create a series from array with index, we have to provide index with same number of element as it is in array.




# import pandas as pd
import pandas as pd
  
# import numpy as np
import numpy as np
  
# simple array
data = np.array(['g', 'e', 'e', 'k', 's'])
  
# providing an index
ser = pd.Series(data, index =[10, 11, 12, 13, 14])
print(ser)


Output :


 
Creating a series from Lists:
In order to create a series from list, we have to first create a list after that we can create a series from list.




import pandas as pd
  
# a simple list
list = ['g', 'e', 'e', 'k', 's']
   
# create series form a list
ser = pd.Series(list)
print(ser)


Output :


Creating a series from Dictionary:
In order to create a series from dictionary, we have to first create a dictionary after that we can make a series using dictionary. Dictionary key are used to construct a index.




import pandas as pd
   
# a simple dictionary
dict = {'Geeks' : 10,
        'for' : 20,
        'geeks' : 30}
   
# create series from dictionary
ser = pd.Series(dict)
   
print(ser)


Output :


 
Creating a series from Scalar value:
In order to create a series from scalar value, an index must be provided. The scalar value will be repeated to match the length of index.




import pandas as pd
  
import numpy as np
  
# giving a scalar value with index
ser = pd.Series(10, index =[0, 1, 2, 3, 4, 5])
  
print(ser)


Output :


 
Creating a series using NumPy functions :
In order to create a series using numpy function, we can use different function of numpy like numpy.linspace(), numpy.random.radn().




# import pandas and numpy 
import pandas as pd 
import numpy as np 
    
# series with numpy linspace()  
ser1 = pd.Series(np.linspace(3, 33, 3)) 
print(ser1) 
    
# series with numpy linspace() 
ser2 = pd.Series(np.linspace(1, 100, 10)) 
print("\n", ser2) 


Output :

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