w3resource

Pandas: Filter by matching multiple values in a given dataframe

Pandas Filter: Exercise-17 with Solution

Write a Pandas program to filter those records where WHO region matches with multiple values (Africa, Eastern Mediterranean, Europe) from 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
new_w_a_con = pd.read_csv('world_alcohol.csv')
print("World alcohol consumption sample data:")
print(new_w_a_con.head())
print("\nFilter by matching multiple values in a given dataframe:")
flt_wine = new_w_a_con["WHO region"].isin(["Africa", "Eastern Mediterranean", "Europe"])
print(new_w_a_con[flt_wine])

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 by matching multiple values in a given dataframe:
    Year             WHO region      ...      Beverage Types Display Value
2   1985                 Africa      ...                Wine          1.62
6   1987                 Africa      ...                Wine          0.13
7   1985                 Africa      ...             Spirits          0.39
9   1984                 Africa      ...               Other          6.10
10  1987                 Africa      ...                Wine          0.20
13  1984  Eastern Mediterranean      ...               Other          0.00
15  1987                 Africa      ...                Wine          0.07
17  1989                 Africa      ...                Beer          2.23
18  1984                 Europe      ...             Spirits          1.62
19  1984                 Africa      ...                Beer          1.08
22  1984                 Europe      ...             Spirits          2.67
23  1984                 Europe      ...                Beer          0.44
24  1985                 Africa      ...               Other           NaN
25  1984  Eastern Mediterranean      ...               Other          0.00
26  1985                 Europe      ...                Wine          1.36
27  1984  Eastern Mediterranean      ...                Beer          2.22
29  1986                 Europe      ...               Other           NaN
30  1986                 Africa      ...               Other          4.48
32  1989                 Africa      ...                Beer          1.60
33  1985                 Africa      ...               Other          0.00
34  1986                 Europe      ...                Wine          0.80
36  1987  Eastern Mediterranean      ...                Beer          0.07
37  1986                 Europe      ...                Beer          3.04
38  1987  Eastern Mediterranean      ...               Other          0.00
39  1987                 Africa      ...             Spirits          0.01
40  1987                 Europe      ...             Spirits          1.90
41  1986                 Europe      ...                Beer          6.82
42  1984                 Europe      ...             Spirits          3.06
44  1985                 Europe      ...               Other           NaN
45  1989                 Africa      ...                Beer          0.19
..   ...                    ...      ...                 ...           ...
63  1985  Eastern Mediterranean      ...               Other          0.00
65  1989  Eastern Mediterranean      ...                Beer          0.00
66  1987  Eastern Mediterranean      ...                Wine          0.01
67  1989                 Africa      ...                Beer          0.00
68  1989                 Africa      ...                Beer          0.12
69  1986                 Africa      ...             Spirits          0.42
70  1986                 Africa      ...             Spirits          1.02
71  1985                 Africa      ...               Other          0.57
72  1987                 Africa      ...               Other          0.00
73  1986  Eastern Mediterranean      ...               Other          0.01
75  1989  Eastern Mediterranean      ...               Other          0.00
76  1985                 Africa      ...                Beer          0.02
77  1985                 Africa      ...             Spirits          0.01
79  1989                 Europe      ...               Other          2.09
80  1985                 Africa      ...               Other          0.84
81  1985                 Europe      ...                Wine          2.54
82  1987                 Europe      ...             Spirits          2.25
83  1986                 Europe      ...               Other           NaN
85  1985                 Africa      ...                Wine          0.01
87  1989  Eastern Mediterranean      ...                Wine          0.01
88  1987  Eastern Mediterranean      ...                Beer          0.42
89  1986  Eastern Mediterranean      ...                Wine          0.70
90  1989                 Africa      ...                Wine          0.01
91  1989                 Europe      ...                Beer          4.43
92  1986                 Africa      ...             Spirits          0.00
93  1987                 Africa      ...               Other           NaN
94  1985                 Europe      ...             Spirits          3.06
95  1984                 Africa      ...               Other          0.00
96  1985                 Europe      ...                Wine          7.38
98  1984                 Africa      ...                Wine          0.00

[69 rows x 5 columns]

Click to download world_alcohol.csv

Python Code Editor:


Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to filter those records where WHO region contains "Ea" substring from world alcohol consumption dataset.

Next: Write a Pandas program to filter those records which not appears in a given list from world alcohol consumption dataset.

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz



Python: Tips of the Day

Merging two dicts in Python 3.5+ with a single expression

Example:

# How to merge two dictionaries
# in Python 3.5+

x = {'p': 1, 'q': 3}
y = {'q': 5, 'r': 8}

z = {**x, **y}

z
{'r': 4, 'p': 1, 'q': 3}

z = dict(x, **y)
print(z)

Output:

{'p': 1, 'q': 5, 'r': 8}