Pandas: Filtering records by multiple condition, Comparison, Arithmetic, Boolean Operators in a given dataframe
Pandas Filter: Exercise-14 with Solution
Write a Pandas program to find out the records where consumption of beverages per person average >=4 and Beverage Types is Beer, Wine, Spirits from world alcohol consumption dataset.
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
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: average consumption of \nbeverages per person >=4 and Beverage Types is Beer:") print(w_a_con[(w_a_con['Display Value'] >= 4) & ((w_a_con['Beverage Types'] == 'Beer') | (w_a_con['Beverage Types'] == 'Wine')| (w_a_con['Beverage Types'] == 'Spirits'))].head(10))
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: average consumption of beverages per person >=4 and Beverage Types is Beer: Year WHO region Country Beverage Types Display Value 3 1986 Americas Colombia Beer 4.27 21 1989 Americas Costa Rica Spirits 4.51 41 1986 Europe Czech Republic Beer 6.82 57 1989 Europe Croatia Wine 5.10 91 1989 Europe Bulgaria Beer 4.43 96 1985 Europe Luxembourg Wine 7.38
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.Write a Pandas program to filter the specified columns and records by range from world alcohol consumption dataset.
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