(1). Plotting 3d data in 2d ternary diagram. The 3 components are denoted by A, B, C.
(2). Magnify the selected red triangle in (1) to an equilateral triangle.
(3). For the theories behind mapping a arbitrary triangle to an equilateral triangle, one could refer to this discussion in stackexchange https://math.stackexchange.com/questions/541926/converting-triangles-to-isosceles-equilateral-or-right
(4). Quickly plot phase boundaries data with tielines_plot in plots.py.
There are two modes:
mode = 1: Plot the literature in the different colors and markers (does not show the phase information)
mode = 2: Plot the phases in different markers and the literature in different colors
(1). Heatmapping with a random array of size 100x100.
(2). Heatmapping of Nb element in Fe-Nb-Ni triple area. Select two points in the heatmap and plot the composition versus distance profiles.
Transfer the data in the spreadsheet to the json file with required format for future thermodynamic assessment
Integrate the load data, view data, plotting heatmap, extracting datapoints, save data into a gui.
