Load libraries
import pandas as pd
from datetime import timedelta
url = 'https://drive.google.com/uc?id=1YV5bKobzYxVAWyB7VlxNH6dmfP4tHBui'
df = pd.read_csv(url, parse_dates = ['pickup_datetime', 'dropoff_datetime', 'dropoff_calculated'])
df["duration"] = pd.to_timedelta(df["duration"])
df_neg = df[___["___"] < ___(___)]
count = 0
for i, row in df_neg.___():
if row["___"].___ != row["___"].minute:
print(___[["dropoff_datetime", "dropoff_calculated"]])
if row["___"].___ >= ___:
count ___
print(f"There are {count} rows in df_neg having hour greater-equal than 12.")