text_html_output_1.png
from PIL import Image

import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

df_train = pd.read_csv('../input/cassava-leaf-disease-classification/train.csv')

df_train['label'] = df_train['label'].astype(str)

sns.set_style('whitegrid')

path = '../input/cassava-leaf-disease-classification/train_images/'
df0 = df_train[df_train['label'] == '0']
files = df0['image_id'].sample(3).tolist()
plt.figure(figsize=(15, 5))
index = 0
for file in files:
    image = Image.open(path + file)
    plt.subplot(1, 3, index + 1)
    plt.imshow(image)
    plt.axis('off')
    index += 1
plt.show()