I have two dataframes (see [here](https://imgur.com/a/2Jh9IG2)), which contain dates and times.
The details for the first data frame are:

```
Date         object
Time         object
Channel1    float64
Channel2    float64
Channel3    float64
Channel4    float64
Channel5    float64
dtype: object

```

The details for the second data frame are:

```
Date     object
Time     object
Mean    float64
STD     float64
Min     float64
Max     float64
dtype: object

```

I am trying to convert the times to a DateTime object so that I can then do a calculation to make the time relative to the first time instance (i.e. the earliest time would become 0, and then all others would be seconds after the start).

When I try (from [here](https://stackoverflow.com/questions/38333954/converting-object-to-datetime-format-in-python)):

```
df['Time'] = df['Time'].apply(pd.Timestamp)

```

I get this error: 

```
TypeError: Cannot convert input [15:35:45] of type <class 'datetime.time'> to Timestamp

```

When I try (from [here](https://stackoverflow.com/questions/49389358/typeerror-class-datetime-time-is-not-convertible-to-datetime)):

```
df['Time'] = pd.to_datetime(df['Time'])

```

but it gives me this error:

```
TypeError: <class 'datetime.time'> is not convertible to datetime

```

Any suggestions would be appreciated.