Parse from String Series to Timestamp (unit: ms)
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VVioletVivirand
Last edited Apr 25, 2017
Created on Apr 25, 2017
This example converts string-formatted timestamps in a pandas DataFrame into millisecond-precision Unix timestamps. It shows how a time column can be transformed for downstream time-series analysis or plotting. The code uses `s.apply` with a lambda function that calls `datetime.datetime.strptime` to parse the "%Y-%m-%d %H:%M:%S" format, then `strftime('%s')` to extract seconds and multiplies by 1000 to obtain milliseconds. The source data is a DataFrame column assumed to contain such timestamp strings.
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