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This question already has answers here: Convert pandas DateTimeIndex to Unix Time? (7 answers) Closed 3 years ago. I know that it's possible to convert a single datetime observation to Unix timestamp by: import datetime as dt int(dt.datetime.now().timestamp()) How could I do this conversion with a Series like this: import pandas as pd x = dt.datetime.now() y = x + dt.timedelta(seconds=300) z = pd.Series([x, y]) z: 0 2019-03-22 13:53:42.671575 1 2019-03-22 13:58:42.671575 dtype: datetime64[ns] JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

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z = pd.Series([int(x.timestamp()), int(y.timestamp())]) z 0 1553259897 1 1553260197 dtype: int64 . z = [] for i,s in enumerate(array): z[i] = pd.Series([int(s[0].timestamp()), int(s[1].timestamp())])

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