https://stackoverflow.com/questions/50449453/pandas-datetime64-to-string
You can just cast the dtype first using astype:
In[29]:
df = pd.DataFrame({'date':pd.to_datetime(['2018-05-20 10:20:00','2018-05-20 10:30:00'])})
df
Out[29]:
date
0 2018-05-20 10:20:00
1 2018-05-20 10:30:00
In[30]:
df['date'].astype(str).tolist()
Out[30]: ['2018-05-20 10:20:00', '2018-05-20 10:30:00']What you did just converted the array to a list of the original dtype:
In[31]:
df['date'].tolist()
Out[31]: [Timestamp('2018-05-20 10:20:00'), Timestamp('2018-05-20 10:30:00')]The more formal method is to call dt.strftime to convert to string using the passed in format:
In[33]:
df['date'].dt.strftime('%Y-%m-%d %H:%M:%S').tolist()
Out[33]: ['2018-05-20 10:20:00', '2018-05-20 10:30:00']