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. |