Pandas: Filtering rows based on row number
Pandas Filter: Exercise-21 with Solution
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
Python Code Editor:
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Previous: Write a Pandas program to find average consumption of wine per person greater than 2 in world alcohol consumption dataset.
Next: Write a Pandas program to select consecutive columns and also select rows with Index label 0 to 9 with some columns from world alcohol consumption dataset.
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