Python | Pandas Series.get()
Last Updated :
13 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.get()
function get item from object for given key (DataFrame column, Panel slice, etc.). Returns default value if not found.
Syntax: Series.get(key, default=None)
Parameter :
key : object
Returns : value : same type as items contained in object
Example #1: Use Series.get()
function to get the value for the passed index label in the given series object.
import pandas as pd
sr = pd.Series([ 'New York' , 'Chicago' , 'Toronto' , None , 'Rio' ])
index_ = [ 'City 1' , 'City 2' , 'City 3' , 'City 4' , 'City 5' ]
sr.index = index_
print (sr)
|
Output :
Now we will use Series.get()
function to return the value for the passed index label in the given series object.
result = sr.get(key = 'City 3' )
print (result)
|
Output :
As we can see in the output, the Series.get()
function has returned the value corresponding to the passed index label.
Example #2 : Use Series.get()
function to get the value for the passed index label in the given series object.
import pandas as pd
sr = pd.Series([ 11 , 21 , 8 , 18 , 65 , 84 , 32 , 10 , 5 , 24 , 32 ])
index_ = pd.date_range( '2010-10-09' , periods = 11 , freq = 'M' )
sr.index = index_
print (sr)
|
Output :
Now we will use Series.get()
function to return the value for the passed index label in the given series object.
result = sr.get(key = '2011-03-31' )
print (result)
|
Output :
As we can see in the output, the Series.get()
function has returned the value corresponding to the passed index label.
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