Pandas: Filter by values using Boolean OR Logic in a given dataframe

Last update on May 28 2022 13:06:49 (UTC/GMT +8 hours)

Pandas Filter: Exercise-7 with Solution

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

Python Code Editor:

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

The os and os.path modules.

The __file__ constant

os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")

os.path.dirname(path) (returns "the directory name of pathname path")

os.getcwd() (returns "a string representing the current working directory")

os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m