Pandas SQL Query: Display all the location id from locations file

Last update on September 12 2025 12:52:58 (UTC/GMT +8 hours)

2. Display All Location IDs from LOCATIONS File

Write a Pandas program to display all the location id from locations file.

LOCATIONS.csv

Sample Solution :

Python Code :

import pandas as pd
employees = pd.read_csv(r"EMPLOYEES.csv")
departments = pd.read_csv(r"DEPARTMENTS.csv")
job_history = pd.read_csv(r"JOB_HISTORY.csv")
jobs = pd.read_csv(r"JOBS.csv")
countries = pd.read_csv(r"COUNTRIES.csv")
regions = pd.read_csv(r"REGIONS.csv")
locations = pd.read_csv(r"LOCATIONS.csv")
result = locations[['location_id']]
print("All the locations id from locations file:")
print(result)

Sample Output:

All the locations id from locations file:
    location_id
0          1000
1          1100
2          1200
3          1300
4          1400
5          1500
6          1600
7          1700
8          1800
9          1900
10         2000
11         2100
12         2200
13         2300
14         2400
15         2500
16         2600
17         2700
18         2800
19         2900
20         3000
21         3100
22         3200

Equivalent SQL Syntax:

SELECT location_id  FROM LOCATIONS;

Click to view the table contain:

For more Practice: Solve these Related Problems:

Write a Pandas program to extract the location_id column from LOCATIONS.csv and display its unique values.
Write a Pandas program to extract and convert the location_id column into a list, then display the list.
Write a Pandas program to extract location_id values from LOCATIONS.csv and count the frequency of each ID.
Write a Pandas program to filter LOCATIONS.csv by a condition on another column (e.g., region_id > 2) and then display only the location_id column.

Go to:

PREV : Display All Records of REGIONS File.
NEXT : Extract First 7 Records from EMPLOYEES File.

Python Code Editor:

Structure of HR database :

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