本文整理汇总了Python中astropy.table.QTable.meta['comments']方法的典型用法代码示例。如果您正苦于以下问题：Python QTable.meta['comments']方法的具体用法？Python QTable.meta['comments']怎么用？Python QTable.meta['comments']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astropy.table.QTable的用法示例。
在下文中一共展示了QTable.meta['comments']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: build_data_table
# 需要导入模块: from astropy.table import QTable [as 别名]
# 或者: from astropy.table.QTable import meta['comments'] [as 别名]
def build_data_table(energy,
flux,
flux_error=None,
flux_error_lo=None,
flux_error_hi=None,
energy_width=None,
energy_lo=None,
energy_hi=None,
ul=None,
cl=None):
"""
Read data into data dict.
Parameters
----------
energy : :class:`~astropy.units.Quantity` array instance
Observed photon energy array [physical type ``energy``]
flux : :class:`~astropy.units.Quantity` array instance
Observed flux array [physical type ``flux`` or ``differential flux``]
flux_error, flux_error_hi, flux_error_lo : :class:`~astropy.units.Quantity` array instance
68% CL gaussian uncertainty of the flux [physical type ``flux`` or
``differential flux``]. Either ``flux_error`` (symmetrical uncertainty)
or ``flux_error_hi`` and ``flux_error_lo`` (asymmetrical uncertainties)
must be provided.
energy_width, energy_lo, energy_hi : :class:`~astropy.units.Quantity` array instance, optional
Width of the energy bins [physical type ``energy``]. Either
``energy_width`` (bin width) or ``energy_lo`` and ``energy_hi``
(Energies of the lower and upper bin edges) can be provided. If none are
provided, ``generate_energy_edges`` will be used.
ul : boolean or int array, optional
Boolean array indicating which of the flux values given in ``flux``
correspond to upper limits.
cl : float, optional
Confidence level of the flux upper limits given by ``ul``.
Returns
-------
data : :class:`astropy.table.QTable`
Data stored in an astropy Table.
"""
table = QTable()
if cl is not None:
cl = validate_scalar('cl', cl)
table.meta['keywords'] = {'cl': {'value': cl}}
table['energy'] = energy
if energy_width is not None:
table['energy_width'] = energy_width
elif energy_lo is not None and energy_hi is not None:
table['energy_lo'] = energy_lo
table['energy_hi'] = energy_hi
table['flux'] = flux
if flux_error is not None:
table['flux_error'] = flux_error
elif flux_error_lo is not None and flux_error_hi is not None:
table['flux_error_lo'] = flux_error_lo
table['flux_error_hi'] = flux_error_hi
else:
raise TypeError('Flux error not provided!')
if ul is not None:
ul = np.array(ul, dtype=np.int)
table['ul'] = ul
table.meta['comments'] = ['Table generated with naima.build_data_table',]
# test table units, format, etc
validate_data_table(table)
return table