Pandas Time Series Analysis 6: Shifting and Lagging

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Shifting and lagging is used to shift or lag the values in a time series back and forward in time. shift and tshift methods can be called on datadframe and timeseries both to either shift values or datetimes.

Topics that are covered in this Python Pandas Video:
0:00 Introduction
0:20 Use shift() function
7:03 Use tshift() function

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jaganinfo
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Thanks for sharing the tutorial and the github repository. It helped me with the basics of pandas.

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williamchao
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thank you so much for these videos and a very easy explanation. hope to see some projects being done in time series.

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The title of this video is shifted by -1

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Machine learning tutorials with exercises:

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