Pandas Series: string date to epoch unix seconds

You can modify the values of a column using the Series' apply method by giving it a function containing the actions you want to perform on each of the values.\nFor handling datetimes you can use dateutil.parser.parse to parse arbitrary strings into datetime objects.\nimport datetime\nimport pandas as pd\nfrom dateutil.parser import parse\n\ns = pd.Series(['September 20 2016',\n'September 20 2016',\n'September 19 2016',\n'September 16 2016'])\ndf = pd.DataFrame(s)\n\ndef dt2epoch(value):\n d = parse(value)\n return d.timestamp()\n \ndf[0].apply(dt2epoch) # apples given function to each value of column\n\nResult:\n0 1474329600\n1 1474329600\n2 1474243200\n3 1473984000\nName: 0, dtype: float64\n",