import pandas as pd import numpy as np # Create a sample DataFrame with datetime index dates = pd.date_range('2023-01-01', periods=10) data = np.random.randn(10, 2) df = pd.DataFrame(data, index=dates, columns=['A', 'B']) # Timestamps to drop timestamps_to_drop = [pd.Timestamp('2023-01-03'), pd.Timestamp('2023-01-05'), pd.Timestamp('2023-01-07'), pd.Timestamp('2023-01-08'), pd.Timestamp('2023-01-10')] # Drop rows df_filtered = df.drop(index=timestamps_to_drop)