8.1.1.2.1.5. skimpy.core.parameters¶

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8.1.1.2.1.5.1. Classes¶

`ParameterValues`	Parameters set for kinetic models wich can be indexed with symbols or
`ParameterValuePopulation`

8.1.1.2.1.5.2. Functions¶

`load_parameter_population`(filename[, lower_index, ...])
`concat_populations`(values[, kmodel, index])

8.1.1.2.1.5.3. Module Contents¶

class skimpy.ParameterValues(parameter_values, kmodel=None)¶

Bases: object

Parameters set for kinetic models wich can be indexed with symbols or

_parameter_values¶

_sym_to_str¶

__getitem__(item)¶

__setitem__(item, value)¶

items()¶

keys()¶

values()¶

class skimpy.ParameterValuePopulation(data, kmodel=None, index=None)¶

Bases: object

kmodel = None¶

__getitem__(index)¶

__len__()¶

__iter__()¶

__next__()¶

_dataframe(dropna=True)¶

mean()¶

Return Computes the mean parameter values for the population:

var()¶

Return Computes the variance parameter values for the population:

cov()¶

Return Computes the covaraince parameter values for the population:

log_mean()¶

Return Computes the logarithmic mean parameter values for the population:

log_var()¶

Return Computes the logarithmic variance parameter values for the population:

log_cov()¶

Return Computes the logarithmic covaraince parameter values for the population:

save(filename)¶: Saves the parameter population as hdf5 file :param filename: string XXX.h5 / XXX.hdf5 :return:

skimpy.load_parameter_population(filename, lower_index=None, upper_index=None)¶

skimpy.concat_populations(values, kmodel=None, index=None)¶