Pandas: Filtering rows based on row number
21. Index-based Row Filtering
Write a Pandas program to filter rows based on row numbers ended with 0, like 0, 10, 20, 30 from world alcohol consumption dataset.
Test Data:
Year WHO region Country Beverage Types Display Value 0 1986 Western Pacific Viet Nam Wine 0.00 1 1986 Americas Uruguay Other 0.50 2 1985 Africa Cte d'Ivoire Wine 1.62 3 1986 Americas Colombia Beer 4.27 4 1987 Americas Saint Kitts and Nevis Beer 1.98
Sample Solution:
Python Code :
import pandas as pd
# World alcohol consumption data
w_a_con = pd.read_csv('world_alcohol.csv')
print("World alcohol consumption sample data:")
print(w_a_con.head())
print("\nFilter rows based on row numbers ended with 0, like 0, 10, 20, 30:")
print(w_a_con.filter(regex='0$', axis=0))
Sample Output:
World alcohol consumption sample data:
Year WHO region ... Beverage Types Display Value
0 1986 Western Pacific ... Wine 0.00
1 1986 Americas ... Other 0.50
2 1985 Africa ... Wine 1.62
3 1986 Americas ... Beer 4.27
4 1987 Americas ... Beer 1.98
[5 rows x 5 columns]
Filter rows based on row numbers ended with 0, like 0, 10, 20, 30:
Year WHO region ... Beverage Types Display Value
0 1986 Western Pacific ... Wine 0.00
10 1987 Africa ... Wine 0.20
20 1986 South-East Asia ... Wine 0.00
30 1986 Africa ... Other 4.48
40 1987 Europe ... Spirits 1.90
50 1985 Europe ... Other 0.30
60 1987 Eastern Mediterranean ... Other 0.00
70 1986 Africa ... Spirits 1.02
80 1985 Africa ... Other 0.84
90 1989 Africa ... Wine 0.01
[10 rows x 5 columns]
Click to download world_alcohol.csv
For more Practice: Solve these Related Problems:
- Write a Pandas program to filter rows where the index ends in 0 by converting the index to string and applying a regex.
- Write a Pandas program to select rows whose index number is a multiple of 10 and then display only the 'Country' column.
- Write a Pandas program to extract rows based on index modulo operations and then reset the index of the filtered DataFrame.
- Write a Pandas program to identify and extract rows with indices ending in 0, then verify the result by checking the index values.
Python Code Editor:
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