machine-learning-notes/eeeeeeeeeee.py at main · y-india/machine-learning-notes · GitHub

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import pandas as pd
salesmen_dict_alt = {
    "Ravi":    {"age": 28, "total_sales": 120, "experience": 3, "salary": 35000},
    "Arjun":   {"age": None, "total_sales": 200, "experience": None, "salary": 50000},
    "Vikram":  {"age": 40, "total_sales": None, "experience": 12, "salary": None},
    "Karan":   {"age": 25, "total_sales": 90, "experience": None, "salary": 28000},
    "Suresh":  {"age": None, "total_sales": 250, "experience": 8, "salary": None},
    "Amit":    {"age": 30, "total_sales": None, "experience": None, "salary": 40000},
    "Manoj":   {"age": None, "total_sales": None, "experience": 10, "salary": 55000},
    "Rahul":   {"age": 29, "total_sales": 180, "experience": None, "salary": None},
    "Anil":    {"age": None, "total_sales": None, "experience": None, "salary": None},
    "Sunil":   {"age": 34, "total_sales": 220, "experience": 9, "salary": None},
}

employees_dict_alt = {
    'EmpName': ['Alice', 'Bob', 'Charlie', 'David', 'Eva'],
    'EmpAge': [24, 30, 22, 35, 28],
    'Dept': ['HR', 'Engineering', 'Marketing', 'Finance', 'Sales'],
    'BasePay': [50000, 80000, 60000, 90000, 70000]
}
df_staff_info = pd.DataFrame(employees_dict_alt)
print("\n--- STAFF INFO ---\n", df_staff_info)


print("\n--- INFO ---")
print(df_staff_info.info())