text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df = pd.read_csv('/kaggle/input/car-specification-dataset-1945-2020/Car Dataset 1945-2020.csv', low_memory=False)

dfcolumns = df.columns
dfcolumns_indexes = {i: dfcolumns[i] for i in range(len(dfcolumns))}

bad_data_indexes = [9, 11, 12, 13, 14, 15, 16, 17, 19, 20, 24, 27, 29, 33, 43, 44, 47, 49, 51, 69, 75, 77]
bad_cols = df.columns[bad_data_indexes]
bad_cols