Pandas: Filter all records starting from the 2nd row, access every 5th row from a given dataframe
Write a Pandas program to filter all records starting from the 2nd row, access every 5th row 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("\nStarting from the 2nd row, access every 5th row:")
print(w_a_con.iloc[1::5].head(10))
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] Starting from the 2nd row, access every 5th row: Year WHO region ... Beverage Types Display Value 1 1986 Americas ... Other 0.50 6 1987 Africa ... Wine 0.13 11 1989 Americas ... Beer 0.62 16 1984 Americas ... Wine 0.06 21 1989 Americas ... Spirits 4.51 26 1985 Europe ... Wine 1.36 31 1986 Western Pacific ... Wine 0.00 36 1987 Eastern Mediterranean ... Beer 0.07 41 1986 Europe ... Beer 6.82 46 1987 Americas ... Spirits 2.26 [10 rows x 5 columns]
Click to download world_alcohol.csv
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics