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Allow numpy arrays in markevery by ImportanceOfBeingErnest · Pull Request #17276 · matplotlib/matplotlib · GitHub

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Allow numpy arrays in markevery #17276

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Merged
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Jun 3, 2020
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Allow numpy arrays in markevery #17276

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7 changes: 4 additions & 3 deletions lib/matplotlib/lines.py
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Original file line number Diff line number Diff line change
Expand Up @@ -537,7 +537,7 @@ def set_markevery(self, every):
Parameters
----------
every : None or int or (int, int) or slice or List[int] or float or \
(float, float)
(float, float) or List[bool]
Which markers to plot.

- every=None, every point will be plotted.
Expand All @@ -549,6 +549,8 @@ def set_markevery(self, every):
point start, up to but not including point end, will be plotted.
- every=[i, j, m, n], only markers at points i, j, m, and n
will be plotted.
- every=[True, False, True], positions that are True will be
plotted.
- every=0.1, (i.e. a float) then markers will be spaced at
approximately equal distances along the line; the distance
along the line between markers is determined by multiplying the
Expand Down Expand Up @@ -580,9 +582,8 @@ def set_markevery(self, every):
axes-bounding-box-diagonal regardless of the actual axes data limits.

"""
if self._markevery != every:
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self.stale = True
self._markevery = every
self.stale = True

def get_markevery(self):
"""
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24 changes: 24 additions & 0 deletions lib/matplotlib/tests/test_lines.py
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Expand Up @@ -199,6 +199,30 @@ def test_step_markers(fig_test, fig_ref):
fig_ref.subplots().plot([0, 0, 1], [0, 1, 1], "-o", markevery=[0, 2])


@check_figures_equal(extensions=('png',))
def test_markevery(fig_test, fig_ref):
np.random.seed(42)
t = np.linspace(0, 3, 14)
y = np.random.rand(len(t))

timhoffm May 2, 2020

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

Optional: There is no gain from random numbers here. You could just use y = t**2 or any other simple function.

casesA = [None, 4, (2, 5), [1, 5, 11],

timhoffm May 2, 2020

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

I think this would be more readable:

    cases = [
        (None, "11111111111111"),
        (4, "10001000100010"),
        ...
    ]

    for ax_test, ax_ref, (markevery, pattern) in zip(axs_test, axs_ref, cases):
        ax_test.plot(t, y, "-gD", markevery=markevery)
        ax_ref.plot(t, y, "-gD",
                    markevery=np.array(list(pattern)).astype(int).astype(bool))

[0, -1], slice(5, 10, 2), 0.3, (0.3, 0.4),
np.arange(len(t))[y > 0.5]]
casesB = ["11111111111111", "10001000100010", "00100001000010",
"01000100000100", "10000000000001", "00000101010000",
"11011011011110", "01010011011101", "01110001110110"]

axsA = fig_ref.subplots(3, 3)
axsB = fig_test.subplots(3, 3)

for ax, case in zip(axsA.flat, casesA):
ax.plot(t, y, "-gD", markevery=case)

for ax, case in zip(axsB.flat, casesB):
me = np.array(list(case)).astype(int).astype(bool)
ax.plot(t, y, "-gD", markevery=me)


def test_marker_as_markerstyle():
fig, ax = plt.subplots()
line, = ax.plot([2, 4, 3], marker=MarkerStyle("D"))
Expand Down
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