| /dports/astro/py-astropy/astropy-5.0/astropy/timeseries/ |
| H A D | binned.py | 99 if time_bin_size is None:
117 if time_bin_size is not None and not isinstance(time_bin_size, (Quantity, TimeDelta)):
121 time_bin_size = time_bin_size.sec * u.s
146 time_bin_size = np.repeat(time_bin_size, n_bins)
172 if time_bin_size.isscalar:
173 time_bin_size = np.repeat(time_bin_size, len(self))
209 def time_bin_size(self): member in BinnedTimeSeries
329 time_bin_size = time_bin_size * time_bin_size_unit
331 time_bin_size = u.Quantity(time_bin_size)
339 time_bin_size=time_bin_size,
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| H A D | downsample.py | 34 def aggregate_downsample(time_series, *, time_bin_size=None, time_bin_start=None, argument
85 if time_bin_size is not None and not isinstance(time_bin_size, (u.Quantity, TimeDelta)):
106 if time_bin_size is None and time_bin_end is None:
113 time_bin_size = time_duration / n_bins * u.s
118 if time_bin_size is not None:
119 if time_bin_size.isscalar:
122 bin_size_sec = time_bin_size.to_value(u.s)
140 binned = BinnedTimeSeries(time_bin_size=time_bin_size,
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| /dports/astro/py-astropy/astropy-5.0/astropy/timeseries/tests/ |
| H A D | test_downsample.py | 47 aggregate_downsample(TimeSeries(), time_bin_size=1)
63 time_bin_size=[1]*u.s)
116 down_1 = aggregate_downsample(ts, time_bin_size=time_bin_incr, time_bin_start=time_bin_start)
117 u.isclose(down_1.time_bin_size, [1, 1, 1, 1, 1]*time_bin_incr)
124 u.isclose(down_2.time_bin_size, [2, 2, 2]*time_bin_incr)
130 u.isclose(down_3.time_bin_size, [3, 3]*time_bin_incr)
135 u.isclose(down_4.time_bin_size, [4, 4]*time_bin_incr)
140 u.isclose(down_units.time_bin_size, [4, 4]*time_bin_incr)
146 down_uneven_bins = aggregate_downsample(ts, time_bin_size=[2, 1, 1]*time_bin_incr,
148 u.isclose(down_uneven_bins.time_bin_size, [2, 1, 1]*time_bin_incr)
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| H A D | test_binned.py | 59 time_bin_size=[1]*u.s)
71 time_bin_size=1)
77 time_bin_size=TimeDelta(1))
78 assert isinstance(ts.time_bin_size, u.quantity.Quantity)
99 time_bin_size=1*u.s,
112 time_bin_size=1*u.s,
126 time_bin_size=1*u.s,
133 time_bin_size=None,
144 time_bin_size=3 * u.s, data=[[1, 4, 3]])
191 time_bin_size=[5, 100, 2]*u.s,
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| H A D | test_common.py | 94 time_bin_size=3 * u.s,
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| /dports/astro/py-astropy/astropy-5.0/docs/timeseries/ |
| H A D | initializing.rst | 109 ... time_bin_size=3 * u.s, n_bins=10)
112 time_bin_start time_bin_size
142 ... time_bin_size=[3, 3, 2, 3] * u.s)
145 time_bin_start time_bin_size
164 time_bin_start time_bin_size
187 ... time_bin_size=[5, 100, 2]*u.s)
190 time_bin_start time_bin_size
209 time_bin_start time_bin_size
242 time_bin_start time_bin_size flux
287 ... 'time_bin_size': 2 * u.s,
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| H A D | data_access.rst | 10 .. |time_bin_size| replace:: :attr:`~astropy.timeseries.BinnedTimeSeries.time_bin_size` substdef in Accessing Data in Time Series
81 ... time_bin_size=3 * u.s, n_bins=5)
95 In addition, the |time_bin_size| attribute can be used to access the bin sizes::
97 >>> bts.time_bin_size # doctest: +SKIP
100 Note that only |time_bin_start| and |time_bin_size| are available as actual
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| H A D | index.rst | 270 …>>> ts_binned = aggregate_downsample(ts_folded, time_bin_size=0.03 * u.day) # doctest: +REMOTE_DA…
273 time_bin_start time_bin_size ... pos_corr2 sap_flux_norm
307 ts_binned = aggregate_downsample(ts_folded, time_bin_size=0.03 * u.day)
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| H A D | analysis.rst | 161 …kepler_binned = aggregate_downsample(kepler, time_bin_size=20 * u.min, aggregate_func=np.nanmedian)
204 …kepler_binned = aggregate_downsample(kepler, time_bin_size=[1000, 125, 80, 25, 150, 210, 273] * u.…
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| H A D | io.rst | 115 time_bin_start time_bin_size ... E F
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| /dports/dns/p5-DSC/p5-DSC-2.04/DSC/ |
| H A D | ploticus.pm | 99 my $time_bin_size = shift || 60;
114 my $tokey = $fromkey - ($fromkey % $time_bin_size);
152 my $time_bin_size = shift || 60;
167 my $tokey = $fromkey - ($fromkey % $time_bin_size);
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| /dports/astro/py-astropy/astropy-5.0/ |
| H A D | CHANGES.rst | 210 It allows ``time_bin_start`` and ``time_bin_size`` to be arrays, and adds
923 any of the parameters ``time_bin_start`` or ``time_bin_size`` is not
|