How to retrieve the data of Series using labels or Index | pandas | Pandas Data Structure Series

In Pandas Series, you can retrieve the data using labels or index using the loc and iloc methods. Here's how to use them:

loc: loc is used to retrieve data using the labels of the index. You can pass a single label, a list of labels, or a slice of labels to the loc method to retrieve the corresponding data from the Series. For example:

import pandas as pd

s = pd.Series([10, 20, 30, 40], index=['a', 'b', 'c', 'd'])
print(s.loc['a']) # Output: 10
print(s.loc[['a', 'c']]) # Output: a 10\n c 30\ndtype: int64
print(s.loc['b': 'd']) # Output: b 20\nc 30\nd 40\ndtype: int64

iloc: iloc is used to retrieve data using the integer position of the index. You can pass a single integer, a list of integers, or a slice of integers to the iloc method to retrieve the corresponding data from the Series. For example:

import pandas as pd

s = pd.Series([10, 20, 30, 40], index=['a', 'b', 'c', 'd'])
print(s.iloc[0]) # Output: 10
print(s.iloc[[0, 2]]) # Output: a 10\nc 30\ndtype: int64
print(s.iloc[1:3]) # Output: b 20\nc 30\ndtype: int64

Note that the difference between loc and iloc is that loc uses the label of the index to retrieve data, while iloc uses the integer position of the index to retrieve data.

Code snippet is given below
# retrieving the data single label(index)

s = pd.Series([1,2,3,4,5], index=['a','b','c','d','e'])
print(s)

# retrieve a single element
print(s['a'])

# retriving non existing element
print(s['f'])

# retrive a multiple elements
print(s[['a','c','d']])

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