sensortoolkit.datetime_utils
The sensortoolkit.datetime_utils subpackage contains various modules for
working with pandas DataFrame objects with timeseries index of type pandas.DatetimeIndex.
Modules are included for setting the timestamp index, averaging recorded datasets to
longer averaging intervals (e.g., 1-hour, 24-hours), etc.
Clicking on each module below will open a page with a detailed description and list of functions included within the module.
This module contains a method for returning a string indicating the current date in YYMMDD format. |
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This module contains a method for determining the sampling frequency (interval) of passed dataframes with time-like index. |
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This module contains a method for assigning the |
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This module calculates 1-hour and 24-hour averaged datasets from sensor and FRM/FEM recorded datasets. |
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This module contains various methods for determining the overall (deployment) timeframe during which testing occurred by locating the extrema of recorded timestamps across all sensor datasets. |