Pandas: Filter by combine 2 logical operators in a given dataframe
Pandas Filter: Exercise-19 with Solution
Write a Pandas program to filter all records where the average consumption of beverages per person from .5 to 2.50 in 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 all records where the average consumption of beverages per person from .5 to 2.50.:")
print(w_a_con[(w_a_con['Display Value'] < 2.5) & (w_a_con['Display Value']>.5)].head())
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 all records where the average consumption of beverages per person from .5 to 2.50.: Year WHO region ... Beverage Types Display Value 2 1985 Africa ... Wine 1.62 4 1987 Americas ... Beer 1.98 8 1986 Americas ... Spirits 1.55 11 1989 Americas ... Beer 0.62 17 1989 Africa ... Beer 2.23 [5 rows x 5 columns]
Click to download world_alcohol.csv
Python Code Editor:
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