def test_ternary_lim(fig_test, fig_ref):
"""
Check that the order of `plot` and `set_ternary_lim` does not affect
the result.
"""
ax = fig_test.add_subplot(projection='ternary')
t, l, r = get_spiral()
ax.set_ternary_lim(
0.1,
0.5, # tmin, tmax
0.2,
0.6, # lmin, lmax
0.3,
0.7, # rmin, rmax
)
ax.plot(t, l, r)
ax.set_tlabel('Top')
ax.set_llabel('Left')
ax.set_rlabel('Right')
ax = fig_ref.add_subplot(projection='ternary')
t, l, r = get_spiral()
ax.plot(t, l, r)
ax.set_ternary_lim(
0.1,
0.5, # tmin, tmax
0.2,
0.6, # lmin, lmax
0.3,
0.7, # rmin, rmax
)
ax.set_tlabel('Top')
ax.set_llabel('Left')
ax.set_rlabel('Right')
def test_data_with_five_arguments():
# When with data, the number of positional arguments must be 3 or 4.
fig = plt.figure()
ax = fig.add_subplot(projection='ternary')
t, l, r = get_spiral()
data = {'t': t, 'l': l, 'r': r}
with pytest.raises(ValueError):
ax.plot('t', 'l', 'r', 'foo', 'bar', data=data)
def test_aspect():
fig = plt.figure()
ax = fig.add_subplot(projection='ternary')
ax.plot(*get_spiral())
ax.set_aspect(1.5)
ax.set_tlabel('Top')
ax.set_llabel('Left')
ax.set_rlabel('Right')
def test_manual_ticks(self):
fig = plt.figure()
ax = fig.add_subplot(projection='ternary')
ax.plot(*get_spiral())
ax.grid()
ax.set_tlabel('Top')
ax.set_llabel('Left')
ax.set_rlabel('Right')
# Specify tick positions manually.
ax.taxis.set_ticks([0.2, 0.4, 0.6, 0.8, 1.0])
ax.laxis.set_ticks([0.2, 0.4, 0.6, 0.8, 1.0])
ax.raxis.set_ticks([0.2, 0.4, 0.6, 0.8, 1.0])
def test_given_triangles(self, labelrotation, rotation, baseline_images):
# Check if the tick-markers, tick-labels, and axis-labels are shown as
# expected.
fig = plt.figure()
corners = ((0.5, 0.0), (1.0, 0.5), (0.0, 1.0))
ax = fig.add_subplot(
projection='ternary', corners=corners, rotation=rotation)
t, l, r = get_spiral()
ax.plot(t, l, r)
ax.set_tlabel('Top')
ax.set_llabel('Left')
ax.set_rlabel('Right')
ax.tick_params(labelrotation=labelrotation)
ax.grid()
def setUp(self):
self.tlr = get_spiral()
""" ============================ With normal Matplotlib plots ============================ Ternary plots of mpltern can be combined with normal Matplotlib plots very straightforwardly. """ import matplotlib.pyplot as plt from mpltern.ternary.datasets import get_spiral t, l, r = get_spiral() fig = plt.figure(figsize=(10.8, 4.8)) # Enough space may need to make the heights of the ternary and the normal plots # the same. fig.subplots_adjust(left=0.075, right=0.95) ax = fig.add_subplot(121, projection='ternary') ax.plot(t, l, r, 'k') ax = fig.add_subplot(122) ax.plot(t) ax.plot(l) ax.plot(r) plt.show()
"""
============
Colored axes
============
You can give a different color for each axis.
"""
import matplotlib.pyplot as plt
from mpltern.ternary.datasets import get_spiral
fig = plt.figure()
ax = fig.add_subplot(projection='ternary')
ax.plot(*get_spiral(), color='k')
ax.set_tlabel('Top')
ax.set_llabel('Left')
ax.set_rlabel('Right')
ax.grid()
# Color ticks, grids, tick-labels
ax.taxis.set_tick_params(tick2On=True, colors='C0', grid_color='C0')
ax.laxis.set_tick_params(tick2On=True, colors='C1', grid_color='C1')
ax.raxis.set_tick_params(tick2On=True, colors='C2', grid_color='C2')
# Color labels
ax.taxis.label.set_color('C0')
ax.laxis.label.set_color('C1')
ax.raxis.label.set_color('C2')
"""
==================
Arbitrary triangle
==================
You can make a ternary plot on an triangle with arbitrary shape.
"""
import matplotlib.pyplot as plt
from mpltern.ternary.datasets import get_spiral
corners = ((0.0, 0.0), (0.5, 0.5), (-0.5, 1.0))
ax = plt.subplot(projection='ternary', corners=corners)
ax.plot(*get_spiral())
ax.set_tlabel('Top')
ax.set_llabel('Left')
ax.set_rlabel('Right')
ax.grid()
plt.show()
def test_arguments_7(self):
fig = plt.figure()
ax = fig.add_subplot(projection='ternary')
t, l, r = get_spiral()
ax.plot(t, l, r, 'C3:', l, r, t)
def test_data():
fig = plt.figure()
ax = fig.add_subplot(projection='ternary')
t, l, r = get_spiral()
data = {'t': t, 'l': l, 'r': r}
ax.plot('t', 'l', 'r', data=data)
def test_plot():
fig = plt.figure()
ax = fig.add_subplot(projection='ternary')
t, l, r = get_spiral()
ax.plot(t, l, r)
