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        "author": "Yeddu Dinesh Babu",
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        "description": "# datetime_extractor\nThe main intent of this project is to extract mostly all possible timestamps from a given string where date and time written together. It extracts timestaamps in a string format. Later one can convert extracted timestamp to python timestamp using pandas datetime package.\n\n# How to install the package\n\t\tpip install datetime-extractor\n\n# Example1\n``` python\n  from datetime_extractor import DateTimeExtractor\n\n  import pandas as pd\n  import re\n\n  samplestring = 'scala> val xorder= new order(1,\"2016-02-22 00:00:00.00\",100,\"COMPLETED\")'\n\n  DateTimeExtractor(samplestring)\n\n  Out: ['2016-02-22 00:00:00.00']\n```\n\n# Example2\nSuppose if one has a dataframe with text column where timestamps written, the above function can be used to create a new column with extracted timestamp strings. One can use below command in this case\n``` python\n  data = pd.read_csv('sampledata.csv')\n  data['textcolumn'] = data['textcolumn'].fillna('')\n\n  data['ExtractedTimestamp'] = data['textcolumn'].apply(lambda x: DateTimeExtractor(str(x)))\n```",
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