Pracownia_programowania/venv/Lib/site-packages/matplotlib/testing/jpl_units/EpochConverter.py
2020-02-01 20:05:44 +01:00

141 lines
4.4 KiB
Python

"""EpochConverter module containing class EpochConverter."""
import numpy as np
import matplotlib.units as units
import matplotlib.dates as date_ticker
__all__ = ['EpochConverter']
class EpochConverter(units.ConversionInterface):
""": A matplotlib converter class. Provides matplotlib conversion
functionality for Monte Epoch and Duration classes.
"""
# julian date reference for "Jan 1, 0001" minus 1 day because
# matplotlib really wants "Jan 0, 0001"
jdRef = 1721425.5 - 1
@staticmethod
def axisinfo(unit, axis):
""": Returns information on how to handle an axis that has Epoch data.
= INPUT VARIABLES
- unit The units to use for a axis with Epoch data.
= RETURN VALUE
- Returns a matplotlib AxisInfo data structure that contains
minor/major formatters, major/minor locators, and default
label information.
"""
majloc = date_ticker.AutoDateLocator()
majfmt = date_ticker.AutoDateFormatter(majloc)
return units.AxisInfo(majloc=majloc, majfmt=majfmt, label=unit)
@staticmethod
def float2epoch(value, unit):
""": Convert a matplotlib floating-point date into an Epoch of the
specified units.
= INPUT VARIABLES
- value The matplotlib floating-point date.
- unit The unit system to use for the Epoch.
= RETURN VALUE
- Returns the value converted to an Epoch in the specified time system.
"""
# Delay-load due to circular dependencies.
import matplotlib.testing.jpl_units as U
secPastRef = value * 86400.0 * U.UnitDbl(1.0, 'sec')
return U.Epoch(unit, secPastRef, EpochConverter.jdRef)
@staticmethod
def epoch2float(value, unit):
""": Convert an Epoch value to a float suitable for plotting as a
python datetime object.
= INPUT VARIABLES
- value An Epoch or list of Epochs that need to be converted.
- unit The units to use for an axis with Epoch data.
= RETURN VALUE
- Returns the value parameter converted to floats.
"""
return value.julianDate(unit) - EpochConverter.jdRef
@staticmethod
def duration2float(value):
""": Convert a Duration value to a float suitable for plotting as a
python datetime object.
= INPUT VARIABLES
- value A Duration or list of Durations that need to be converted.
= RETURN VALUE
- Returns the value parameter converted to floats.
"""
return value.seconds() / 86400.0
@staticmethod
def convert(value, unit, axis):
""": Convert value using unit to a float. If value is a sequence, return
the converted sequence.
= INPUT VARIABLES
- value The value or list of values that need to be converted.
- unit The units to use for an axis with Epoch data.
= RETURN VALUE
- Returns the value parameter converted to floats.
"""
# Delay-load due to circular dependencies.
import matplotlib.testing.jpl_units as U
isNotEpoch = True
isDuration = False
if np.iterable(value) and not isinstance(value, str):
if len(value) == 0:
return []
else:
return [EpochConverter.convert(x, unit, axis) for x in value]
if isinstance(value, U.Epoch):
isNotEpoch = False
elif isinstance(value, U.Duration):
isDuration = True
if (isNotEpoch and not isDuration and
units.ConversionInterface.is_numlike(value)):
return value
if unit is None:
unit = EpochConverter.default_units(value, axis)
if isDuration:
return EpochConverter.duration2float(value)
else:
return EpochConverter.epoch2float(value, unit)
@staticmethod
def default_units(value, axis):
""": Return the default unit for value, or None.
= INPUT VARIABLES
- value The value or list of values that need units.
= RETURN VALUE
- Returns the default units to use for value.
"""
frame = None
if np.iterable(value) and not isinstance(value, str):
return EpochConverter.default_units(value[0], axis)
else:
frame = value.frame()
return frame