plot.dataplot

plot.dataplot(comps, phases, conds, datasets, tielines=True, ax=None, plot_kwargs=None, tieline_plot_kwargs=None)

Plot datapoints corresponding to the components, phases, and conditions.

Parameters

Name	Type	Description	Default
comps	list	Names of components to consider in the calculation.	required
phases	[]	Names of phases to consider in the calculation.	required
conds	dict	Maps StateVariables to values and/or iterables of values.	required
datasets	PickleableTinyDB		required
tielines	bool	If True (default), plot the tie-lines from the data	True
ax	matplotlib.Axes	Default axes used if not specified.	None
plot_kwargs	dict	Additional keyword arguments to pass to the matplotlib plot function for points	None
tieline_plot_kwargs	dict	Additional keyword arguments to pass to the matplotlib plot function for tielines	None

Returns

Type	Description
matplotlib.Axes	A plot of phase equilibria points as a figure

Examples

>>> from espei.datasets import load_datasets, recursive_glob
>>> from espei.plot import dataplot
>>> datasets = load_datasets(recursive_glob('.', '*.json'))
>>> my_phases = ['BCC_A2', 'CUMG2', 'FCC_A1', 'LAVES_C15', 'LIQUID']
>>> my_components = ['CU', 'MG' 'VA']
>>> conditions = {v.P: 101325, v.T: (500, 1000, 10), v.X('MG'): (0, 1, 0.01)}
>>> dataplot(my_components, my_phases, conditions, datasets)