Pandas SQL Query: Display the first name, job id, salary and department for those employees not working in the departments 50,30 and 80

Last update on May 28 2022 13:37:49 (UTC/GMT +8 hours)

Pandas HR database Queries: Exercise-20 with Solution

Write a Pandas program to display the first name, job id, salary and department for those employees not working in the departments 50,30 and 80.

EMPLOYEES.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("First name      Job ID       Salary    Department ID")
result = employees[~employees['department_id'].isin([50, 30, 80])]
for index, row in result.iterrows():
    print(row['first_name'].ljust(15),row['job_id'].ljust(12),str(row['salary']).ljust(9),row['department_id'])

Sample Output:

First name      Job ID       Salary    Department ID
Steven          AD_PRES      24000     90.0
Neena           AD_VP        17000     90.0
Lex             AD_VP        17000     90.0
Alexander       IT_PROG      9000      60.0
Bruce           IT_PROG      6000      60.0
David           IT_PROG      4800      60.0
Valli           IT_PROG      4800      60.0
Diana           IT_PROG      4200      60.0
Nancy           FI_MGR       12000     100.0
Daniel          FI_ACCOUNT   9000      100.0
John            FI_ACCOUNT   8200      100.0
Ismael          FI_ACCOUNT   7700      100.0
Jose Manuel     FI_ACCOUNT   7800      100.0
Luis            FI_ACCOUNT   6900      100.0
Kimberely       SA_REP       7000      nan
Jennifer        AD_ASST      4400      10.0
Michael         MK_MAN       13000     20.0
Pat             MK_REP       6000      20.0
Susan           HR_REP       6500      40.0
Hermann         PR_REP       10000     70.0
Shelley         AC_MGR       12000     110.0
William         AC_ACCOUNT   8300      110.0

Equivalent SQL Syntax:

SELECT employee_id, first_name, job_id, department_id
 FROM employees
  WHERE department_id NOT IN (50, 30, 80);

Click to view the table contain:

Python Code Editor:

Structure of HR database :

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Previous: Write a Pandas program to display the first, last name, salary and department number for those employees who holds a letter n as a 3rd character in their first name.
Next: Write a Pandas program to display the ID for those employees who did two or more jobs in the past.

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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__))

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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")

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