Pandas: Filter by values using Boolean AND Logic in a given dataframe
8. Regional and Year Filtering
Write a Pandas program to find out the alcohol consumption details by the 'Americas' in the year '1985' from the 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("\nThe world alcohol consumption details by the Americas in the 1985:")
print(w_a_con[(w_a_con['Year']==1989) & (w_a_con['WHO region']=='Americas')].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]
The world alcohol consumption details by the Americas in the 1985:
Year WHO region ... Beverage Types Display Value
11 1989 Americas ... Beer 0.62
21 1989 Americas ... Spirits 4.51
55 1989 Americas ... Wine 0.04
64 1989 Americas ... Beer 1.26
78 1989 Americas ... Other 0.00
[5 rows x 5 columns]
Click to download world_alcohol.csv
For more Practice: Solve these Related Problems:
- Write a Pandas program to filter records for the year 1985 with the 'Americas' region and then list unique beverage types.
- Write a Pandas program to extract data for a specific region and year, and then calculate the maximum 'Display Value'.
- Write a Pandas program to select records for 1985 in 'Americas', then display the countries with consumption below the regional average.
- Write a Pandas program to filter the dataset for a given region and year, and then sort the resulting records by country name.
Python Code Editor:
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Next: Write a Pandas program to find out the alcohol consumption details in the year '1986' where WHO region is 'Western Pacific' and country is 'VietNam' from the world alcohol consumption dataset.
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