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Python | Pandas Series.ravel ()

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Series.ravel() Pandas Series.ravel() returns smoothed base data as ndarray.

Syntax: Series.ravel (order = ’C’)

Parameter: order

Returns: ndarray

Example # 1: Use Series.ravel () to return the elements of this Series object as an ndarray.

# import pandas as pd

import pandas as pd

 
# Create series

sr = pd.Series ([ 10 , 25 , 3 , 11 , 24 , 6 ])

 
# Create index

index_ = [ ’Coca Cola’ , ’ Sprite’ , ’ Coke’ , ’Fanta’ , ’Dew’ , ’ThumbsUp’ ]

  
# set index

sr.index = index_

 
# Print series

print (sr)

Output:

We will now use Series.ravel () to return the underlying data of this Series object as an ndarray .

Output:

As we can see in the output, Series.ravel () returned an ndarray containing the data for the given series object.

Example # 2: Use Series.ravel () to return the elements of this Series object as ndarray.

# return ndarray

result = sr.ravel ()

 
# Print result

print (result)

# import pandas as pd

import pandas as pd

 
# Create series

sr = pd.Series ([ ’New York’ , ’Chicago’ , ’Toronto’ , ’Lisbon’ , ’Rio’ ])

  
# Create index

index_ = [ ’ City 1’ , ’City 2’ , ’City 3’ , ’ City 4’ , ’City 5’

 
# set index

sr.index = index_

 
# Print series  

print (sr)

Output:

We will now use Series.ravel () to return the underlying data of this Series object as an ndarray.

# return ndarray

result = sr.ravel ()

 
# Print result

print (result)

Output:

As we see in the output , Series.ravel () returned an ndarray containing the data for this series object.

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