Pandas: Filtering records by label or index in a given dataframe
Pandas Filter: Exercise-15 with Solution
Write a Pandas program to filter the specified columns and records by range 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("\nFiltering records by label or index:") print(w_a_con.loc[0:4, ["WHO region", "Beverage Types"]])
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] Filtering records by label or index: WHO region Beverage Types 0 Western Pacific Wine 1 Americas Other 2 Africa Wine 3 Americas Beer 4 Americas Beer
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.Write a Pandas program to filter those records where WHO region contains "Ea" substring from world alcohol consumption dataset.
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