HistogramData

class rojak.turbulence.analysis.HistogramData(hist_values, bins, mean, variance)

Histogram of the log-normal distribution of a turbulence diagnostic’s values

See DiagnosticHistogramDistribution for how this is computed. numpy arrays passed into the constructor are converted to lists so that the instance is JSON-serialisable.

Parameters:

• hist_values (list[float])

• bins (list[float])

• mean (float)

• variance (float)

__init__(*args, **kwargs)

Parameters:

• __dataclass_self__ (PydanticDataclass)

• args (Any)

• kwargs (Any)

Return type:

None

Methods

__init__(*args, **kwargs)
as_json_dict()	Convert to a plain, JSON-serialisable dictionary
filter_insignificant_bins([minimum_value])	Drop histogram bins whose density is below minimum_value

Attributes

hist_values
bins
mean
variance