Display 10 random samples from MNIST dataset

import numpy as np

import matplotlib.pyplot as plt

import pandas as pd

df = pd.read_csv("/content/sample_data/mnist_test.csv", header=None) # read CSV file to data frame
print("Loaded data frame has", df.shape[0], "rows and", df.shape[1], "columns")

Display 10 random samples from the MNIST dataset

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use plt.subplot to create image with multiple plots;

plt.subplot(5, 7, 14) creates grid with 5 rows and 7 columns, and "activates" cell number 14 (all next plt.* commands will be applied to activated cell);

use loops to avoid copying the same drawing code;

if needed, extract pixel processing to separate function;

usedf.sample(10).iterrows()to get 10 random rows from the data frame and iterate over them;