QST: Error in Pandas to_datetime conversion?
#### Is this an error in Pandas to_datetime conversion?

**Initial data stored in following format as dtype: object:**
17:00:00

**After using following code, data is returned with year added and desired dtype: datetime**
```
df['$Time'] = pd.to_datetime(df['$Time'], exact=True, format='%H:%M:%S', errors='coerce')

0   1900-01-01 17:00:00
1   1900-01-01 17:00:01
2   1900-01-01 17:00:02
3   1900-01-01 17:00:03
4   1900-01-01 17:00:04
Name: $Time, dtype: datetime64[ns]
```

**If Im using now dt.time to remove date and keep only hours, I'm getting dtype: object back... Is this a bug? What should be correct logic to keep %H:%M:%S and dtype: datetime?**
```
df['$Time'] = df['$Time'].dt.time

0    17:00:00
1    17:00:01
2    17:00:02
3    17:00:03
4    17:00:04
Name: $Time, dtype: object
```





