Pivoting out Datetimes and then calling an operation in Pandas/Python -


I have seen many articles about using datetime and datetime to convert to datetime objects.

However, I can not find a column to convert to a datetime object, so I can pivot that column and act against it.

I have dataframe like: 

  Col1 colonel 2 one 1/1/2013 1/12/2013 b 1/5/2013 b 4/3/2013 What do I need:  
  pivott = pivot_table (df, rows = 'col1', values ​​= 'col2', etc.) And then I want to get the boundaries of dates, each value in Col1)   
 I'm not sure how to contact this properly  
  df Even after using ['col2'] = pd.to_datetime (df ['col2'])   
 I could not take action against it since the date and String ...  
 Any advice?   
 
 
 Use Data Time Datetime 
 pd.read_csv ('somedata.csv') Convert Data Time Convert = DF ['DATE_TIME_IN_STRING'] Convert [ConvertDateTime] Convert [: 10] # You should get DTP: datetime64 [lambda D: datetime.strptime (d, '% d /% m /%) Y' Ns]

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