Pandas: Filter by values using Boolean OR Logic in a given dataframe
7. Filtering by Multiple Years
Write a Pandas program to find out the alcohol consumption details in the year '1987' or '1989' 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 where year is 1987 or 1989:")
print((w_a_con[(w_a_con['Year']==1987) | (w_a_con['Year']==1989)]).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 where year is 1987 or 1989:
Year WHO region ... Beverage Types Display Value
4 1987 Americas ... Beer 1.98
5 1987 Americas ... Other 0.00
6 1987 Africa ... Wine 0.13
10 1987 Africa ... Wine 0.20
11 1989 Americas ... Beer 0.62
15 1987 Africa ... Wine 0.07
17 1989 Africa ... Beer 2.23
21 1989 Americas ... Spirits 4.51
28 1987 Western Pacific ... Beer 0.11
32 1989 Africa ... Beer 1.60
[10 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 two distinct years and then compare the total consumption between them.
- Write a Pandas program to extract data for years '1987' and '1989', and then compute the count of records per year.
- Write a Pandas program to select records for multiple years and then sort the results by 'Display Value' in ascending order.
- Write a Pandas program to filter the dataset for two specified years and then group the results by 'WHO region' to calculate sums.
Python Code Editor:
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