Cleaning up data frame and date time

I am working with data frame. One of the columns contains date where the format of cell are mixed between date, time and string. The sample date frame is as follow:

df = pd.DataFrame()
df['Date'] = ['EPL','Sunday 21st April 2019','13:30:00','13:30:00','French Ligue 1','14:30:00']
df['Name'] = ['A','B','C','D','E','F']

I want to create a new column that contains the text of date column. The expected output is as follows:

How can I do that?

Answer

IIUC using to_datetime, the select the position return NaN, then ffill

df.loc[pd.to_datetime(df.Date,errors='coerce').isnull(),'col']=df.Date
df.col=df.col.ffill()
df
Out[867]: 
                     Date Name             col
0                     EPL    A             EPL
1  Sunday 21st April 2019    B             EPL
2                13:30:00    C             EPL
3                13:30:00    D             EPL
4          French Ligue 1    E  French Ligue 1
5                14:30:00    F  French Ligue 1