100 lines
3.1 KiB
Python
100 lines
3.1 KiB
Python
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"""EpochConverter module containing class EpochConverter."""
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from matplotlib import cbook
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import matplotlib.units as units
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import matplotlib.dates as date_ticker
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__all__ = ['EpochConverter']
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class EpochConverter(units.ConversionInterface):
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"""
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Provides Matplotlib conversion functionality for Monte Epoch and Duration
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classes.
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"""
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# julian date reference for "Jan 1, 0001" minus 1 day because
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# Matplotlib really wants "Jan 0, 0001"
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jdRef = 1721425.5 - 1
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@staticmethod
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def axisinfo(unit, axis):
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# docstring inherited
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majloc = date_ticker.AutoDateLocator()
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majfmt = date_ticker.AutoDateFormatter(majloc)
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return units.AxisInfo(majloc=majloc, majfmt=majfmt, label=unit)
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@staticmethod
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def float2epoch(value, unit):
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"""
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Convert a Matplotlib floating-point date into an Epoch of the specified
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units.
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= INPUT VARIABLES
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- value The Matplotlib floating-point date.
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- unit The unit system to use for the Epoch.
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= RETURN VALUE
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- Returns the value converted to an Epoch in the specified time system.
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"""
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# Delay-load due to circular dependencies.
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import matplotlib.testing.jpl_units as U
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secPastRef = value * 86400.0 * U.UnitDbl(1.0, 'sec')
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return U.Epoch(unit, secPastRef, EpochConverter.jdRef)
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@staticmethod
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def epoch2float(value, unit):
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"""
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Convert an Epoch value to a float suitable for plotting as a python
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datetime object.
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= INPUT VARIABLES
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- value An Epoch or list of Epochs that need to be converted.
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- unit The units to use for an axis with Epoch data.
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= RETURN VALUE
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- Returns the value parameter converted to floats.
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"""
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return value.julianDate(unit) - EpochConverter.jdRef
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@staticmethod
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def duration2float(value):
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"""
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Convert a Duration value to a float suitable for plotting as a python
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datetime object.
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= INPUT VARIABLES
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- value A Duration or list of Durations that need to be converted.
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= RETURN VALUE
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- Returns the value parameter converted to floats.
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"""
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return value.seconds() / 86400.0
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@staticmethod
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def convert(value, unit, axis):
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# docstring inherited
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# Delay-load due to circular dependencies.
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import matplotlib.testing.jpl_units as U
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if not cbook.is_scalar_or_string(value):
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return [EpochConverter.convert(x, unit, axis) for x in value]
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if units.ConversionInterface.is_numlike(value):
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return value
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if unit is None:
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unit = EpochConverter.default_units(value, axis)
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if isinstance(value, U.Duration):
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return EpochConverter.duration2float(value)
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else:
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return EpochConverter.epoch2float(value, unit)
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@staticmethod
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def default_units(value, axis):
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# docstring inherited
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if cbook.is_scalar_or_string(value):
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return value.frame()
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else:
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return EpochConverter.default_units(value[0], axis)
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