BinnedDataAxis¶
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class
gammapy.utils.nddata.BinnedDataAxis(lo, hi, **kwargs)[source]¶ Bases:
gammapy.utils.nddata.DataAxisData axis for binned data
Parameters: lo :
QuantityLower bin edges
hi :
QuantityUpper bin edges
name : str, optional
Axis name, default: ‘Default’
interpolation_mode : str {‘linear’, ‘log’}
Interpolation behaviour, default: ‘linear’
Attributes Summary
bin_widthBin width binsBin edges interpolation_modeInterpolation mode nbinsNumber of bins nodesEvaluation nodes. unitAxis unit Methods Summary
find_node(val)Find next node lin_center()Linear bin centers log_center()Logarithmic bin centers logspace(emin, emax, nbins[, unit])Create axis with equally log-spaced nodes Attributes Documentation
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bin_width¶ Bin width
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bins¶ Bin edges
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interpolation_mode¶ Interpolation mode
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nbins¶ Number of bins
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nodes¶ Evaluation nodes.
Depending on the interpolation mode, either log or lin center are returned
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unit¶ Axis unit
Methods Documentation
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classmethod
logspace(emin, emax, nbins, unit=None, **kwargs)[source]¶ Create axis with equally log-spaced nodes
if no unit is given, it will be taken from vmax, log interpolation is enable by default.
Parameters: vmin :
Quantity, floatLowest value
vmax :
Quantity, floatHighest value
bins : int
Number of bins
unit :
UnitBase, strUnit
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