Pandas SQL Query: Display all the records of REGIONS file

Last update on May 28 2022 13:04:41 (UTC/GMT +8 hours)

Pandas HR database Queries: Exercise-1 with Solution

Write a Pandas program to display all the records of REGIONS file.

REGION.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")
print("All the records from regions file:")
print(regions)

Sample Output:

All the records from regions file:
   REGION_ID             REGION_NAME
0          1                  Europe
1          2                Americas
2          3                    Asia
3          4  Middle East and Africa

Equivalent SQL Syntax:

SELECT * FROM REGIONS;

Click to view the table contain:

Python Code Editor:

Structure of HR database :

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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