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Use data to set default limits when appropriate#18803

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l-johnston wants to merge1 commit intomatplotlib:masterfroml-johnston:issue_7742_alternatesolution
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34 changes: 25 additions & 9 deletionslib/matplotlib/axis.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -1477,11 +1477,21 @@ def update_units(self, data):
self.set_units(default)

if neednew:
self._update_axisinfo()
if np.iterable(data):
try:
data_interval = (np.min(data), np.max(data))
except (TypeError, ValueError):
data_interval = None
else:
if data_interval[0] == data_interval[1]:
data_interval = None
else:
data_interval = None
self._update_axisinfo(data_interval)
self.stale = True
return True

def _update_axisinfo(self):
def _update_axisinfo(self, data_interval=None):
"""
Check the axis converter for the stored units to see if the
axis info needs to be updated.
Expand DownExpand Up@@ -1513,7 +1523,7 @@ def _update_axisinfo(self):
self.set_label_text(info.label)
self.isDefault_label = True

self.set_default_intervals()
self.set_default_intervals(data_interval)

def have_units(self):
return self.converter is not None or self.units is not None
Expand DownExpand Up@@ -2277,15 +2287,18 @@ def set_inverted(self, inverted):
# cast to bool to avoid bad interaction between python 3.8 and np.bool_
self.axes.set_xlim(sorted((a, b), reverse=bool(inverted)), auto=None)

def set_default_intervals(self):
def set_default_intervals(self, data_interval=None):
# docstring inherited
xmin, xmax = 0., 1.
xmin, xmax =(0., 1.) if data_interval is None else data_interval
dataMutated = self.axes.dataLim.mutatedx()
viewMutated = self.axes.viewLim.mutatedx()
if not dataMutated or not viewMutated:
if self.converter is not None:
info = self.converter.axisinfo(self.units, self)
if info.default_limits is not None:
if data_interval is not None:
xmin = self.converter.convert(xmin, self.units, self)
xmax = self.converter.convert(xmax, self.units, self)
elif info.default_limits is not None:
valmin, valmax = info.default_limits
xmin = self.converter.convert(valmin, self.units, self)
xmax = self.converter.convert(valmax, self.units, self)
Expand DownExpand Up@@ -2561,15 +2574,18 @@ def set_inverted(self, inverted):
# cast to bool to avoid bad interaction between python 3.8 and np.bool_
self.axes.set_ylim(sorted((a, b), reverse=bool(inverted)), auto=None)

def set_default_intervals(self):
def set_default_intervals(self, data_interval=None):
# docstring inherited
ymin, ymax = 0., 1.
ymin, ymax =(0., 1.) if data_interval is None else data_interval
dataMutated = self.axes.dataLim.mutatedy()
viewMutated = self.axes.viewLim.mutatedy()
if not dataMutated or not viewMutated:
if self.converter is not None:
info = self.converter.axisinfo(self.units, self)
if info.default_limits is not None:
if data_interval is not None:
ymin = self.converter.convert(ymin, self.units, self)
ymax = self.converter.convert(ymax, self.units, self)
elif info.default_limits is not None:
valmin, valmax = info.default_limits
ymin = self.converter.convert(valmin, self.units, self)
ymax = self.converter.convert(valmax, self.units, self)
Expand Down
43 changes: 43 additions & 0 deletionslib/matplotlib/tests/test_axes.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -6824,3 +6824,46 @@ def test_ylabel_ha_with_position(ha):
ax.set_ylabel("test", y=1, ha=ha)
ax.yaxis.set_label_position("right")
assert ax.yaxis.get_label().get_ha() == ha


def test_axhline_with_date_xaxis():
fig, ax = plt.subplots()
ax.axhline(1.5)
x = [datetime.datetime(2020, 1, i) for i in range(1, 3)]
y = [1, 2]
ax.plot(x, y)
assert ax.get_xlim() == (18262.0, 18263.0)


def test_axvline_with_date_yaxis():
fig, ax = plt.subplots()
ax.axvline(1.5)
x = [1, 2]
y = [datetime.datetime(2020, 1, i) for i in range(1, 3)]
ax.plot(x, y)
assert ax.get_ylim() == (18262.0, 18263.0)


def test_two_spans():
fig, ax = plt.subplots()
ax.axhline(1)
ax.axhline(2)
assert ax.get_ylim() == (1.0, 2.0)


def test_axhspan_with_date_xaxis():
fig, ax = plt.subplots()
ax.axhspan(1, 2)
x = [datetime.datetime(2020, 1, i) for i in range(1, 3)]
y = [1, 2]
ax.plot(x, y)
assert ax.get_xlim() == (18262.0, 18263.0)


def test_axvspan_with_date_yaxis():
fig, ax = plt.subplots()
ax.axvspan(1, 2)
x = [1, 2]
y = [datetime.datetime(2020, 1, i) for i in range(1, 3)]
ax.plot(x, y)
assert ax.get_ylim() == (18262.0, 18263.0)
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