Pandas Data Series: Get the positions of items of a given series in another given series

Pandas: Data Series Exercise-23 with Solution

Write a Pandas program to get the positions of items of a given series in another given series.

Sample Solution :

Python Code :

import pandas as pd
series1 = pd.Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
series2 = pd.Series([1, 3, 5, 7, 10])
print("Original Series:")
print(series1)
print(series2)
result = [pd.Index(series1).get_loc(i) for i in series2]
print("Positions of items of series2 in series1:")
print(result)

Sample Output:

Original Series:
0     1
1     2
2     3
3     4
4     5
5     6
6     7
7     8
8     9
9    10
dtype: int64
0     1
1     3
2     5
3     7
4    10
dtype: int64
Positions of items of series2 in series1:
[0, 2, 4, 6, 9]

Explanation:

series1 = pd.Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
series2 = pd.Series([1, 3, 5, 7, 10])

The above code creates two Pandas Series objects 'series1' and 'series2'. 'series1' contains integers from 1 to 10, and 'series2' contains integers 1, 3, 5, 7, 10.

result = [pd.Index(series1).get_loc(i) for i in series2]: This line uses a list comprehension to create a new list 'result' containing the indices of the elements in 'series1' that match the values in 'series2'.

The pd.Index(series1) function is used to convert the values in 'series1' into an index object. The .get_loc() method is then applied to the index object to get the position of each value in the index. The result is a list of indices that correspond to the positions of the values in 'series2' in 'series1'.

Python-Pandas Code Editor:

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