I want to add two df columns df['Date'] and df['hour'] to create the column timestamp

Question

The problem is the hour column and the date column are like this:

Is there any way to add them to get a column starting with 2019-07-01 7:00:00 and so on

Answer 1

You can do:

df['datetime'] = pd.to_datetime(df['Date']) + pd.to_timedelta('1H') * df['Hour']

# or
# df['datetime'] = pd.to_datetime(df['Date']) + pd.to_timedelta(df['Hour'], unit='H')

Answer 2

df['datetime'] = df[['Date', 'hour']].apply(lambda x: ' '.join(x), axis=1)

然后：

df['datetime']= pd.to_datetime(df['datetime'])

Answer 3

You can try something like this

df.apply(lambda t : pd.datetime.combine(t['date_column_name'],t['time_column_name']),1)

If both columns are string you can simply concatenate it as well