In my script I have df[\'Time\'] as shown below.
497 2017-08-06 11:00:00 548 2017-08-08 15:00:00 580 2017-08-10 04:00:00 646 2017-08-12 23:00:00 Name
You're looking for df.iloc.
df.iloc
df['Time'].iloc[0]
df['Time'][0] would've worked if your series had an index beginning from 0
df['Time'][0]
0
And if need scalar only use Series.iat:
df['Time'].iat[0]