text_html_output_1.png
import pandas as pd

path = '../input/prostate-cancer-grade-assessment'
train = pd.read_csv(f'{path}/train.csv')
test = pd.read_csv(f'{path}/test.csv')
submission = pd.read_csv(f'{path}/sample_submission.csv')
suspicious = pd.read_csv(f'../input/suspicious-data-panda/suspicious_test_cases.csv')
data_dir = f'{path}/train_images'
mask_dir = f'{path}/train_label_masks'
df_train = train.copy().set_index('image_id')
for j in df_train.index:
    for i in suspicious['image_id']:
        if i == j:
            df_train.drop([i], axis=0, inplace=True)
df_train