import ternary
import matplotlib.pyplot as plt

# Function to visualize for heat map
def f(x):
    return 1.0 * x[0] / (1.0 * x[0] + 0.2 * x[1] + 0.05 * x[2])

# dictionary of axes colors for bottom (b), left (l), right (r)
axes_colors = {'b': 'g', 'l': 'r', 'r':'b'}

scale = 10

fig, ax = plt.subplots()
ax.axis("off")
figure, tax = ternary.figure(ax=ax, scale=scale)

tax.heatmapf(f, boundary=False, 
            style="hexagonal", cmap=plt.cm.get_cmap('Blues'),
            cbarlabel='Component 0 uptake',
            vmax=1.0, vmin=0.0)

tax.boundary(linewidth=2.0, axes_colors=axes_colors)

tax.left_axis_label("$x_1$", offset=0.16, color=axes_colors['l'])
tax.right_axis_label("$x_0$", offset=0.16, color=axes_colors['r'])
tax.bottom_axis_label("$x_2$", offset=-0.06, color=axes_colors['b'])

tax.gridlines(multiple=1, linewidth=2,
              horizontal_kwargs={'color':axes_colors['b']},
              left_kwargs={'color':axes_colors['l']},
              right_kwargs={'color':axes_colors['r']},
              alpha=0.7)

tax.ticks(axis='rlb', linewidth=1, locations=range(scale+1), clockwise=True,
         axes_colors=axes_colors,
         ticks=["%.1f" % (1.0 - 1.0 * i / scale) for i in range(scale+1)],
         offset=0.03)
tax.clear_matplotlib_ticks()

tax._redraw_labels()
plt.tight_layout()
tax.show()

import ternary
import matplotlib.pyplot as plt

# Function to visualize for heat map
def f(x):
    return 1.0 * x[0] / (1.0 * x[0] + 0.2 * x[1] + 0.05 * x[2])

# dictionary of axes colors for bottom (b), left (l), right (r)
axes_colors = {'b': 'g', 'l': 'r', 'r':'b'}

scale = 10

fig, ax = plt.subplots()
ax.axis("off")
figure, tax = ternary.figure(ax=ax, scale=scale)

tax.heatmapf(f, boundary=False, 
            style="hexagonal", cmap=plt.cm.get_cmap('Blues'),
            cbarlabel='Component 0 uptake',
            vmax=1.0, vmin=0.0)

tax.boundary(linewidth=2.0, axes_colors=axes_colors)

tax.left_axis_label("$x_1$", offset=0.16, color=axes_colors['l'])
tax.right_axis_label("$x_0$", offset=0.16, color=axes_colors['r'])
tax.bottom_axis_label("$x_2$", offset=-0.06, color=axes_colors['b'])

tax.gridlines(multiple=1, linewidth=2,
              horizontal_kwargs={'color':axes_colors['b']},
              left_kwargs={'color':axes_colors['l']},
              right_kwargs={'color':axes_colors['r']},
              alpha=0.7)

ticks = [round(i / float(scale), 1) for i in range(scale+1)]
tax.ticks(ticks=ticks, axis='rlb', linewidth=1, clockwise=True,
          axes_colors=axes_colors, offset=0.03)

tax.clear_matplotlib_ticks()

tax._redraw_labels()
plt.tight_layout()
tax.show()

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