How do I properly set the Datetimeindex for a Pandas datetime object in a dataframe?

Question

I have a pandas dataframe:

    lat         lng         alt days              date        time
0   40.003834   116.321462  211 39745.175405      2008-10-24  04:12         


        

Answer 1

You are not creating datetime index properly,

format = '%Y-%m-%d %H:%M:%S'
df['Datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'], format=format)
df = df.set_index(pd.DatetimeIndex(df['Datetime']))

Answer 2

To simplify Kirubaharan's answer a bit:

df['Datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'])
df = df.set_index('Datetime')

And to get rid of unwanted columns (as OP did but did not specify per se in the question):

df = df.drop(['date','time'], axis=1)