Get a random sample from your dataset

To grab random sample from a dataset in Python, you can use the pandas library. Assuming your dataset is stored in a pandas DataFrame, you can use the sample method to randomly select rows.

Here’s an example:

import pandas as pd

data = {
    'Column1': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],
    'Column2': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L']
}

your_dataset = pd.DataFrame(data)

# Grabbing random 5 rows
random_5_rows = your_dataset.sample(n=5, random_state=1)

# Display the result
print(random_5_rows)

In this example, n=5 specifies the number of rows to sample, and random_state is set to ensure reproducibility.

    Column1 Column2
10       11       K
9        10       J
0         1       A
8         9       I
5         6       F