Using tail method, we can get the rows from the series end
Example
series.tail() : Return last 5 rows in the series.
series.tail(n) : Return last n rows in the series.
Find the below working application.
tail.py
import pandas as pd
primes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31]
series = pd.Series(primes)
print('Original Data : ')
print(series)
last_five_primes = series.tail()
last_three_primes = series.tail(3)
print('\nlast_five_primes')
print(last_five_primes)
print('\nlast_three_primes')
print(last_three_primes)
Output
Original Data : 0 2 1 3 2 5 3 7 4 11 5 13 6 17 7 19 8 23 9 29 10 31 dtype: int64 last_five_primes 6 17 7 19 8 23 9 29 10 31 dtype: int64 last_three_primes 8 23 9 29 10 31 dtype: int64
‘tail()’ method is a preview on original dataset, if you update something on the result returned by tail() method, it updates the original data. You can confirm the same from below application.
tail.py
import pandas as pd
primes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31]
series = pd.Series(primes)
print('Original Data : ')
print(series)
last_five_primes = series.tail()
last_three_primes = series.tail(3)
print('\nlast_five_primes')
print(last_five_primes)
print('\nlast_three_primes')
print(last_three_primes)
Output
Original Data : 0 2 1 3 2 5 3 7 4 11 5 13 6 17 7 19 8 23 9 29 10 31 dtype: int64 last_five_primes 6 17 7 19 8 23 9 29 10 31 dtype: int64 last_three_primes 8 23 9 29 10 31 dtype: int64
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