pandas timestamp series to string?
Following on from VinceP's answer, to convert a datetime Series in-place do the following: 
df['Column_name']=df['Column_name'].astype(str)
I am new to python (coming from R), and I am trying to understand how I can convert a timestamp series in a pandas dataframe (in my case this is called df['timestamp']) into what I would call a string vector in R.  is this possible?  How would this be done?
I tried df['timestamp'].apply('str'), but this seems to simply put the entire column df['timestamp'] into one long string.  I'm looking to convert each element into a string and preserve the structure, so that it's still a vector (or maybe this a called an array?)