本文整理汇总了Python中pycbc.types.TimeSeries.data方法的典型用法代码示例。如果您正苦于以下问题：Python TimeSeries.data方法的具体用法？Python TimeSeries.data怎么用？Python TimeSeries.data使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pycbc.types.TimeSeries的用法示例。
在下文中一共展示了TimeSeries.data方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: line_model
# 需要导入模块: from pycbc.types import TimeSeries [as 别名]
# 或者: from pycbc.types.TimeSeries import data [as 别名]
def line_model(freq, data, tref, amp=1, phi=0):
""" Simple time-domain model for a frequency line.
Parameters
----------
freq: float
Frequency of the line.
data: pycbc.types.TimeSeries
Reference data, to get delta_t, start_time, duration and sample_times.
tref: float
Reference time for the line model.
amp: {1., float}, optional
Amplitude of the frequency line.
phi: {0. float}, optional
Phase of the frequency line (radians).
Returns
-------
freq_line: pycbc.types.TimeSeries
A timeseries of the line model with frequency 'freq'. The returned
data are complex to allow measuring the amplitude and phase of the
corresponding frequency line in the strain data. For extraction, use
only the real part of the data.
"""
freq_line = TimeSeries(zeros(len(data)), delta_t=data.delta_t,
epoch=data.start_time)
times = data.sample_times - float(tref)
alpha = 2 * numpy.pi * freq * times + phi
freq_line.data = amp * numpy.exp(1.j * alpha)
return freq_line