
# import necessary libraries
import pandas as pd
import numpy as np

# create sample data
data = {
    'Name': ['Alice', 'Bob', 'Charlie', 'Dave'],
    'Age': [25, 30, 35, 40],
    'Gender': ['F', 'M', 'M', 'M'],
    'Salary': [50000, 70000, 60000, 80000],
    'Country': ['USA', 'Canada', 'UK', 'Australia']
}

# convert data into a dataframe
df = pd.DataFrame(data)


# create a list of NumPy functions
funct = [np.mean, np.median, np.min, np.max, np.std]

# use agg() to apply all functs to dataframe
summary = df.agg(funct)

# print the summary
print(summary)