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Merge pull request #37 from astrofrog/static-plots
Started adding infrastructure for exporting to static plots
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# Backport from Astropy - can be removed once Astropy 4.0 or later is required. | ||
# | ||
# Copyright (c) 2011-2017, Astropy Developers | ||
# | ||
# All rights reserved. | ||
# | ||
# Redistribution and use in source and binary forms, with or without modification, | ||
# are permitted provided that the following conditions are met: | ||
# | ||
# * Redistributions of source code must retain the above copyright notice, this | ||
# list of conditions and the following disclaimer. | ||
# * Redistributions in binary form must reproduce the above copyright notice, this | ||
# list of conditions and the following disclaimer in the documentation and/or | ||
# other materials provided with the distribution. | ||
# * Neither the name of the Astropy Team nor the names of its contributors may be | ||
# used to endorse or promote products derived from this software without | ||
# specific prior written permission. | ||
# | ||
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND | ||
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED | ||
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | ||
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR | ||
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES | ||
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; | ||
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON | ||
# ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | ||
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS | ||
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | ||
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import re | ||
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import numpy as np | ||
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from datetime import datetime | ||
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from astropy.time import Time | ||
from astropy import units as u | ||
from astropy.utils.exceptions import ErfaError | ||
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__all__ = ['time_support'] | ||
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__doctest_skip__ = ['*'] | ||
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UNSUPPORTED_FORMATS = ('datetime', 'datetime64') | ||
YMDHMS_FORMATS = ('fits', 'iso', 'isot', 'yday') | ||
STR_FORMATS = YMDHMS_FORMATS + ('byear_str', 'jyear_str') | ||
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def time_support(*, scale=None, format=None, simplify=True): | ||
""" | ||
Enable support for plotting `astropy.time.Time` instances in | ||
matplotlib. | ||
May be (optionally) used with a ``with`` statement. | ||
>>> import matplotlib.pyplot as plt | ||
>>> from astropy import units as u | ||
>>> from astropy import visualization | ||
>>> with visualization.time_support(): # doctest: +IGNORE_OUTPUT | ||
... plt.figure() | ||
... plt.plot(Time(['2016-03-22T12:30:31', '2016-03-22T12:30:38', '2016-03-22T12:34:40'])) | ||
... plt.draw() | ||
Parameters | ||
---------- | ||
scale : str, optional | ||
The time scale to use for the times on the axis. If not specified, | ||
the scale of the first Time object passed to Matplotlib is used. | ||
format : str, optional | ||
The time format to use for the times on the axis. If not specified, | ||
the format of the first Time object passed to Matplotlib is used. | ||
simplify : bool, optional | ||
If possible, simplify labels, e.g. by removing 00:00:00.000 times from | ||
ISO strings if all labels fall on that time, or by removing the leading | ||
date when it is repeated. | ||
""" | ||
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import matplotlib.units as units | ||
from matplotlib.ticker import MaxNLocator, ScalarFormatter | ||
from astropy.visualization.wcsaxes.utils import select_step_hour, select_step_scalar | ||
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class AstropyTimeLocator(MaxNLocator): | ||
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# Note: we default to AutoLocator since many time formats | ||
# can just use this. | ||
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def __init__(self, converter, *args, **kwargs): | ||
kwargs['nbins'] = 4 | ||
super().__init__(*args, **kwargs) | ||
self._converter = converter | ||
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def tick_values(self, vmin, vmax): | ||
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# Where we put the ticks depends on the format we are using | ||
if self._converter.format in YMDHMS_FORMATS: | ||
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# If we are here, we need to check what the range of values | ||
# is and decide how to find tick locations accordingly | ||
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vrange = vmax - vmin | ||
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if (self._converter.format != 'yday' and vrange > 31) or vrange > 366: # greater than a month | ||
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# We need to be careful here since not all years and months have | ||
# the same length | ||
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# Start off by converting the values from the range to | ||
# datetime objects, so that we can easily extract the year and | ||
# month. | ||
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try: | ||
tmin = Time(vmin, scale=self._converter.scale, format='mjd').datetime | ||
tmax = Time(vmax, scale=self._converter.scale, format='mjd').datetime | ||
except ErfaError: | ||
return [] | ||
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# Find the range of years | ||
ymin = tmin.year | ||
ymax = tmax.year | ||
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if ymax > ymin + 1: # greater than a year | ||
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# Find the step we want to use | ||
ystep = int(select_step_scalar(max(1, (ymax - ymin) / 3))) | ||
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ymin = ystep * (ymin // ystep) | ||
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# Generate the years for these steps | ||
times = [] | ||
for year in range(ymin, ymax + 1, ystep): | ||
times.append(datetime(year=year, month=1, day=1)) | ||
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else: # greater than a month but less than a year | ||
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mmin = tmin.month | ||
mmax = tmax.month + 12 * (ymax - ymin) | ||
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mstep = int(select_step_scalar(max(1, (mmax - mmin) / 3))) | ||
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mmin = mstep * max(1, mmin // mstep) | ||
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# Generate the months for these steps | ||
times = [] | ||
for month in range(mmin, mmax + 1, mstep): | ||
times.append(datetime(year=ymin + month // 12, | ||
month=month % 12, day=1)) | ||
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# Convert back to MJD | ||
values = Time(times, scale=self._converter.scale).mjd | ||
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elif vrange > 1: # greater than a day | ||
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self.set_params(steps=[1, 2, 5, 10]) | ||
values = super().tick_values(vmin, vmax) | ||
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else: | ||
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# Determine ideal step | ||
dv = vrange / 3 * 24 << u.hourangle | ||
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# And round to nearest sensible value | ||
dv = select_step_hour(dv).to_value(u.hourangle) / 24 | ||
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# Determine tick locations | ||
imin = np.ceil(vmin / dv) | ||
imax = np.floor(vmax / dv) | ||
values = np.arange(imin, imax + 1, dtype=np.int64) * dv | ||
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else: | ||
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values = super().tick_values(vmin, vmax) | ||
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# Get rid of values outside of the input interval | ||
values = values[(values >= vmin) & (values <= vmax)] | ||
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return values | ||
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def __call__(self): | ||
vmin, vmax = self.axis.get_view_interval() | ||
return self.tick_values(vmin, vmax) | ||
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class AstropyTimeFormatter(ScalarFormatter): | ||
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def __init__(self, converter, *args, **kwargs): | ||
super().__init__(*args, **kwargs) | ||
self._converter = converter | ||
self.set_useOffset(False) | ||
self.set_scientific(False) | ||
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def __call__(self, value, pos=None): | ||
# Needed for Matplotlib <3.1 | ||
if self._converter.format in STR_FORMATS: | ||
return self.format_ticks([value])[0] | ||
else: | ||
return super().__call__(value, pos=pos) | ||
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def format_ticks(self, values): | ||
if len(values) == 0: | ||
return [] | ||
if self._converter.format in YMDHMS_FORMATS: | ||
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# Find spacing of labels in seconds - here we asssume the ticks | ||
# are evenly spaced, which they should be since we determined | ||
# them with the locator above. | ||
dv_sec = (values[1] - values[0]) * 3600 * 24 | ||
if dv_sec < 1: | ||
precision = int(np.ceil(-np.log10(dv_sec))) | ||
else: | ||
precision = 0 | ||
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times = Time(values, format='mjd', scale=self._converter.scale, precision=precision) | ||
formatted = getattr(times, self._converter.format) | ||
if self._converter.simplify: | ||
if self._converter.format in ('fits', 'iso', 'isot'): | ||
separator = ' ' if self._converter.format == 'iso' else 'T' | ||
# The regular expression is to check whether the time | ||
# contains only zeros and separators. | ||
if all([not re.match('[1-9]', x) for x in formatted]): | ||
formatted = [x.split(separator)[0] for x in formatted] | ||
else: | ||
date_prev = None | ||
for i in range(len(formatted)): | ||
date, time = formatted[i].split(separator) | ||
if date == date_prev: | ||
formatted[i] = time | ||
date_prev = date | ||
elif self._converter.format == 'yday': | ||
if all([x.endswith(':001:00:00:00.000') for x in formatted]): | ||
formatted = [x.split(':', 1)[0] for x in formatted] | ||
return formatted | ||
elif self._converter.format == 'byear_str': | ||
return Time(values, format='byear', scale=self._converter.scale).byear_str | ||
elif self._converter.format == 'jyear_str': | ||
return Time(values, format='jyear', scale=self._converter.scale).jyear_str | ||
else: | ||
return super().format_ticks(values) | ||
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class MplTimeConverter(units.ConversionInterface): | ||
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def __init__(self, scale=None, format=None, simplify=None): | ||
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super().__init__() | ||
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self.format = format | ||
self.scale = scale | ||
self.simplify = simplify | ||
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# Keep track of original converter in case the context manager is | ||
# used in a nested way. | ||
self._original_converter = units.registry.get(Time) | ||
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units.registry[Time] = self | ||
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@property | ||
def format(self): | ||
return self._format | ||
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@format.setter | ||
def format(self, value): | ||
if value in UNSUPPORTED_FORMATS: | ||
raise ValueError('time_support does not support format={0}'.format(value)) | ||
self._format = value | ||
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def __enter__(self): | ||
return self | ||
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def __exit__(self, type, value, tb): | ||
if self._original_converter is None: | ||
del units.registry[Time] | ||
else: | ||
units.registry[Time] = self._original_converter | ||
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def default_units(self, x, axis): | ||
if isinstance(x, tuple): | ||
x = x[0] | ||
if self.format is None: | ||
self.format = x.format | ||
if self.scale is None: | ||
self.scale = x.scale | ||
return 'astropy_time' | ||
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def convert(self, value, unit, axis): | ||
""" | ||
Convert a Time value to a scalar or array. | ||
""" | ||
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# For cases where Matplotlib doesn't implement the ConversionInterface | ||
if isinstance(value, (tuple, list)) and isinstance(value[0], Time): | ||
value = Time(value) | ||
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# For Matplotlib < 2.2 | ||
if not isinstance(value, Time): | ||
return value | ||
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scaled = getattr(value, self.scale) | ||
if self.format in YMDHMS_FORMATS: | ||
return scaled.mjd | ||
elif self.format == 'byear_str': | ||
return scaled.byear | ||
elif self.format == 'jyear_str': | ||
return scaled.jyear | ||
else: | ||
return getattr(scaled, self.format) | ||
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def axisinfo(self, unit, axis): | ||
""" | ||
Return major and minor tick locators and formatters. | ||
""" | ||
majloc = AstropyTimeLocator(self) | ||
majfmt = AstropyTimeFormatter(self) | ||
return units.AxisInfo(majfmt=majfmt, | ||
majloc=majloc, | ||
label='Time ({0})'.format(self.scale)) | ||
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return MplTimeConverter(scale=scale, format=format, simplify=simplify) |
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