Python | Pandas Series.ravel()
Last Updated :
11 Feb, 2019
Pandas series is a One-dimensional ndarray with axis labels. The 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.
Pandas Series.ravel()
function returns the flattened underlying data as an ndarray.
Syntax: Series.ravel(order=’C’)
Parameter : order
Returns : ndarray
Example #1: Use Series.ravel()
function to return the elements of the given Series object as an ndarray.
import pandas as pd
sr = pd.Series([ 10 , 25 , 3 , 11 , 24 , 6 ])
index_ = [ 'Coca Cola' , 'Sprite' , 'Coke' , 'Fanta' , 'Dew' , 'ThumbsUp' ]
sr.index = index_
print (sr)
|
Output :
Now we will use Series.ravel()
function to return the underlying data of the given Series object as an ndarray.
result = sr.ravel()
print (result)
|
Output :
As we can see in the output, the Series.ravel()
function has returned the an ndarray containing the data of the given series object.
Example #2: Use Series.ravel()
function to return the elements of the given Series object as an ndarray.
import pandas as pd
sr = pd.Series([ 'New York' , 'Chicago' , 'Toronto' , 'Lisbon' , 'Rio' ])
index_ = [ 'City 1' , 'City 2' , 'City 3' , 'City 4' , 'City 5' ]
sr.index = index_
print (sr)
|
Output :
Now we will use Series.ravel()
function to return the underlying data of the given Series object as an ndarray.
result = sr.ravel()
print (result)
|
Output :
As we can see in the output, the Series.ravel()
function has returned the an ndarray containing the data of the given series object.
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