Input Classes¶

UserBools¶

Sets the boolean input for the user-friendly histogram functions.

Attributes:

Name	Type	Description
`empirical_probability`	`bool`	If True, retrieve an empirical probability histogram. If False, compute a count or empirical probability histogram. Empirical_probability and empirical_density cannot both be True.
`empirical_density`	`bool`	If True, compute an empirical density histogram. If False, compute a count or empirical density histogram. Empirical_density and empirical_density cannot both be True.
`negative_values`	`bool`	If True, return None for logarithmically spaced histogram or compute the histogram for fixed bin-width histograms. If False, assume all values are positive and no shifting is done for the binning procedure.
`additional_checks`	`bool`	Performs additional checks if requested (True). Prevents negative counts from being registered when a mistake is made when counting at argmax. Setting this parameter to True will automatically fix this mistake, unless the negative count values do not appear at Argmax!

Parameters:

Name	Type	Description	Default
`empirical_probability`	`bool`	If True, retrieve an empirical probability histogram. If False, compute a count or empirical probability histogram. Empirical_probability and empirical_density cannot both be True. By default False.	`False`
`empirical_density`	`bool`	If True, compute an empirical density histogram. If False, compute a count or empirical density histogram. Empirical_density and empirical_density cannot both be True. By default False.	`False`
`negative_values`	`bool`	If True, return None for logarithmically spaced histogram or compute the histogram for fixed bin-width histograms. If False, assume all values are positive and no shifting is done for the binning procedure. By default False.	`False`
`additional_checks`	`bool`	Performs additional checks if requested (True). Prevents negative counts from being registered when a mistake is made when counting at argmax. Setting this parameter to True will automatically fix this mistake, unless the negative count values do not appear at Argmax! By default False.	`False`

Sets additional boolean input for the user-friendly Hogg histogram functions.

Attributes:

Name	Type	Description
`verbose`	`bool`	If True, print verbose output.
`return_binning_parameters`	`bool`	If True, return the optimal binning phase, binning \(\alpha\) (smoothing parameter), and the nr. of bins. If False, do not return such parameters.

Parameters:

Name	Type	Description	Default
`verbose`	`bool`	If True, print verbose output. By default False.	`False`
`return_binning_parameters`	`bool`	If True, return the optimal binning phase, binning \(\alpha\) (smoothing parameter), and the nr. of bins. If False, do not return such parameters. By default False.	`False`

Sets numerical input for the user-friendly Hogg histogram functions.

Attributes:

Name	Type	Description
`data_arr`	`DArr`	Contains the copy of the data that needs to be binned.
`alpha_parameters`	`DArr \| DList`	Contains the \(\alpha\) smoothing parameters for the Hogg(2008) jackknife likelihood.
`bin_numbers`	`IArr \| Ilist`	Contains several trial bin numbers for which the jackknife likelihood is computed.
`bin_phases`	`DArr \| DList`	Phase factors for the binning process, as determined in Hogg (2008). Per default initialized at 0.0 for each bin.
`custom_bin_width`	`DList`	Custom bin width that will be used to generate the bin width if only a single point is present in the histogram. By default initialized at 1.

Parameters:

Name	Type	Description	Default
`data_arr`	`DArr`	Contains the data that needs to be binned.	required
`alpha_parameters`	`DArr \| DList`	Contains the \(\alpha\) smoothing parameters for the Hogg(2008) jackknife likelihood.	required
`bin_numbers`	`IArr \| IList`	Contains several trial bin numbers for which the jackknife likelihood is computed.	required
`bin_phases`	`DArr \| DList`	Phase factors for the binning process, as determined in Hogg (2008). If None, this is initialized at [0.0].	required
`custom_bin_width`	`DList \| None`	The custom bin width that will be used to generate the bin width if only a single point is present in the histogram. If None, this is initialized at [1.].	required

Sets numerical input for the user-friendly histogram functions.

Parameters:

Name	Type	Description	Default
`data_arr`	`DArr`	Contains the data that needs to be binned.	required
`min_nr_bins`	`IVar`	The minimum number of bins to be considered; by default 0.	required

Initialize the specific binning edges (for a histogram with specific bin edges).

Parameters:

Name	Type	Description	Default
`bin_edges`	`DArr \| None`	Specific binning edges for 'histogram_blas_log_spec_edges'.	required

Initialize the parameters necessary to compute a histogram with a specific bin width.

Parameters:

Name	Type	Description	Default
`bin_phase`	`DVar`	Binning phase (See Hogg, 2008).	required
`bin_nr`	`IVar`	Number of bins used in the histogram.	required
`data_min`	`DVar \| None`	Specific minimum data value for the binning if not None. If None, the minimum value of 'my_data' is used to shift data values before binning.	required
`bin_width`	`DArr \| DVar \| None`	Specified bin width or array of specified bin widths.	required

Raises:

Type	Description
`ValueError`	If the supplied bin_phase is unphysical. Should be in the range [0.0, 1.0).