pFad - Phone/Frame/Anonymizer/Declutterfier! Saves Data!


--- a PPN by Garber Painting Akron. With Image Size Reduction included!

URL: http://github.com/matplotlib/matplotlib/commit/f621b0173f9fe7cd4088e9384ac1e46832064e43

sorigen="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/global-7a1ad343bd40328c.css" /> Expire parameter renaming deprecations · matplotlib/matplotlib@f621b01 · GitHub
Skip to content

Commit f621b01

Browse files
committed
Expire parameter renaming deprecations
1 parent c4ec3f6 commit f621b01

8 files changed

Lines changed: 0 additions & 33 deletions

File tree

lib/matplotlib/image.py

Lines changed: 0 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -1129,11 +1129,9 @@ def get_extent(self):
11291129
raise RuntimeError('Must set data first')
11301130
return self._Ax[0], self._Ax[-1], self._Ay[0], self._Ay[-1]
11311131

1132-
@_api.rename_parameter("3.8", "s", "filternorm")
11331132
def set_filternorm(self, filternorm):
11341133
pass
11351134

1136-
@_api.rename_parameter("3.8", "s", "filterrad")
11371135
def set_filterrad(self, filterrad):
11381136
pass
11391137

lib/matplotlib/legend.py

Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1196,7 +1196,6 @@ def _find_best_position(self, width, height, renderer):
11961196

11971197
return l, b
11981198

1199-
@_api.rename_parameter("3.8", "event", "mouseevent")
12001199
def contains(self, mouseevent):
12011200
return self.legendPatch.contains(mouseevent)
12021201

lib/matplotlib/projections/geo.py

Lines changed: 0 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -258,7 +258,6 @@ class AitoffAxes(GeoAxes):
258258
class AitoffTransform(_GeoTransform):
259259
"""The base Aitoff transform."""
260260

261-
@_api.rename_parameter("3.8", "ll", "values")
262261
def transform_non_affine(self, values):
263262
# docstring inherited
264263
longitude, latitude = values.T
@@ -280,7 +279,6 @@ def inverted(self):
280279

281280
class InvertedAitoffTransform(_GeoTransform):
282281

283-
@_api.rename_parameter("3.8", "xy", "values")
284282
def transform_non_affine(self, values):
285283
# docstring inherited
286284
# MGDTODO: Math is hard ;(
@@ -306,7 +304,6 @@ class HammerAxes(GeoAxes):
306304
class HammerTransform(_GeoTransform):
307305
"""The base Hammer transform."""
308306

309-
@_api.rename_parameter("3.8", "ll", "values")
310307
def transform_non_affine(self, values):
311308
# docstring inherited
312309
longitude, latitude = values.T
@@ -324,7 +321,6 @@ def inverted(self):
324321

325322
class InvertedHammerTransform(_GeoTransform):
326323

327-
@_api.rename_parameter("3.8", "xy", "values")
328324
def transform_non_affine(self, values):
329325
# docstring inherited
330326
x, y = values.T
@@ -353,7 +349,6 @@ class MollweideAxes(GeoAxes):
353349
class MollweideTransform(_GeoTransform):
354350
"""The base Mollweide transform."""
355351

356-
@_api.rename_parameter("3.8", "ll", "values")
357352
def transform_non_affine(self, values):
358353
# docstring inherited
359354
def d(theta):
@@ -394,7 +389,6 @@ def inverted(self):
394389

395390
class InvertedMollweideTransform(_GeoTransform):
396391

397-
@_api.rename_parameter("3.8", "xy", "values")
398392
def transform_non_affine(self, values):
399393
# docstring inherited
400394
x, y = values.T
@@ -435,7 +429,6 @@ def __init__(self, center_longitude, center_latitude, resolution):
435429
self._center_longitude = center_longitude
436430
self._center_latitude = center_latitude
437431

438-
@_api.rename_parameter("3.8", "ll", "values")
439432
def transform_non_affine(self, values):
440433
# docstring inherited
441434
longitude, latitude = values.T
@@ -469,7 +462,6 @@ def __init__(self, center_longitude, center_latitude, resolution):
469462
self._center_longitude = center_longitude
470463
self._center_latitude = center_latitude
471464

472-
@_api.rename_parameter("3.8", "xy", "values")
473465
def transform_non_affine(self, values):
474466
# docstring inherited
475467
x, y = values.T

lib/matplotlib/projections/polar.py

Lines changed: 0 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -79,7 +79,6 @@ def _get_rorigen(self):
7979
return self._scale_transform.transform(
8080
(0, self._axis.get_rorigen()))[1]
8181

82-
@_api.rename_parameter("3.8", "tr", "values")
8382
def transform_non_affine(self, values):
8483
# docstring inherited
8584
theta, r = np.transpose(values)
@@ -235,7 +234,6 @@ def __init__(self, axis=None, use_rmin=True,
235234
use_rmin="_use_rmin",
236235
apply_theta_transforms="_apply_theta_transforms")
237236

238-
@_api.rename_parameter("3.8", "xy", "values")
239237
def transform_non_affine(self, values):
240238
# docstring inherited
241239
x, y = values.T

lib/matplotlib/scale.py

Lines changed: 0 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -213,7 +213,6 @@ def __str__(self):
213213
return "{}(base={}, nonpositive={!r})".format(
214214
type(self).__name__, self.base, "clip" if self._clip else "mask")
215215

216-
@_api.rename_parameter("3.8", "a", "values")
217216
def transform_non_affine(self, values):
218217
# Ignore invalid values due to nans being passed to the transform.
219218
with np.errstate(divide="ignore", invalid="ignore"):
@@ -250,7 +249,6 @@ def __init__(self, base):
250249
def __str__(self):
251250
return f"{type(self).__name__}(base={self.base})"
252251

253-
@_api.rename_parameter("3.8", "a", "values")
254252
def transform_non_affine(self, values):
255253
return np.power(self.base, values)
256254

@@ -362,7 +360,6 @@ def __init__(self, base, linthresh, linscale):
362360
self._linscale_adj = (linscale / (1.0 - self.base ** -1))
363361
self._log_base = np.log(base)
364362

365-
@_api.rename_parameter("3.8", "a", "values")
366363
def transform_non_affine(self, values):
367364
abs_a = np.abs(values)
368365
with np.errstate(divide="ignore", invalid="ignore"):
@@ -390,7 +387,6 @@ def __init__(self, base, linthresh, linscale):
390387
self.linscale = linscale
391388
self._linscale_adj = (linscale / (1.0 - self.base ** -1))
392389

393-
@_api.rename_parameter("3.8", "a", "values")
394390
def transform_non_affine(self, values):
395391
abs_a = np.abs(values)
396392
with np.errstate(divide="ignore", invalid="ignore"):
@@ -472,7 +468,6 @@ def __init__(self, linear_width):
472468
"must be strictly positive")
473469
self.linear_width = linear_width
474470

475-
@_api.rename_parameter("3.8", "a", "values")
476471
def transform_non_affine(self, values):
477472
return self.linear_width * np.arcsinh(values / self.linear_width)
478473

@@ -488,7 +483,6 @@ def __init__(self, linear_width):
488483
super().__init__()
489484
self.linear_width = linear_width
490485

491-
@_api.rename_parameter("3.8", "a", "values")
492486
def transform_non_affine(self, values):
493487
return self.linear_width * np.sinh(values / self.linear_width)
494488

@@ -589,7 +583,6 @@ def __init__(self, nonpositive='mask'):
589583
self._nonpositive = nonpositive
590584
self._clip = {"clip": True, "mask": False}[nonpositive]
591585

592-
@_api.rename_parameter("3.8", "a", "values")
593586
def transform_non_affine(self, values):
594587
"""logit transform (base 10), masked or clipped"""
595588
with np.errstate(divide="ignore", invalid="ignore"):
@@ -613,7 +606,6 @@ def __init__(self, nonpositive='mask'):
613606
super().__init__()
614607
self._nonpositive = nonpositive
615608

616-
@_api.rename_parameter("3.8", "a", "values")
617609
def transform_non_affine(self, values):
618610
"""logistic transform (base 10)"""
619611
return 1.0 / (1 + 10**(-values))

lib/matplotlib/table.py

Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -103,7 +103,6 @@ def __init__(self, xy, width, height, *,
103103
text=text, fontproperties=fontproperties,
104104
horizontalalignment=loc, verticalalignment='center')
105105

106-
@_api.rename_parameter("3.8", "trans", "t")
107106
def set_transform(self, t):
108107
super().set_transform(t)
109108
# the text does not get the transform!

lib/matplotlib/text.py

Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1848,7 +1848,6 @@ def transform(renderer) -> Transform
18481848
# Must come last, as some kwargs may be propagated to arrow_patch.
18491849
Text.__init__(self, x, y, text, **kwargs)
18501850

1851-
@_api.rename_parameter("3.8", "event", "mouseevent")
18521851
def contains(self, mouseevent):
18531852
if self._different_canvas(mouseevent):
18541853
return False, {}

lib/matplotlib/transforms.py

Lines changed: 0 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -606,7 +606,6 @@ def expanded(self, sw, sh):
606606
a = np.array([[-deltaw, -deltah], [deltaw, deltah]])
607607
return Bbox(self._points + a)
608608

609-
@_api.rename_parameter("3.8", "p", "w_pad")
610609
def padded(self, w_pad, h_pad=None):
611610
"""
612611
Construct a `Bbox` by padding this one on all four sides.
@@ -1799,7 +1798,6 @@ def transform_affine(self, values):
17991798
raise NotImplementedError('Affine subclasses should override this '
18001799
'method.')
18011800

1802-
@_api.rename_parameter("3.8", "points", "values")
18031801
def transform_non_affine(self, values):
18041802
# docstring inherited
18051803
return values
@@ -1857,7 +1855,6 @@ def to_values(self):
18571855
mtx = self.get_matrix()
18581856
return tuple(mtx[:2].swapaxes(0, 1).flat)
18591857

1860-
@_api.rename_parameter("3.8", "points", "values")
18611858
def transform_affine(self, values):
18621859
mtx = self.get_matrix()
18631860
if isinstance(values, np.ma.MaskedArray):
@@ -1868,7 +1865,6 @@ def transform_affine(self, values):
18681865
if DEBUG:
18691866
_transform_affine = transform_affine
18701867

1871-
@_api.rename_parameter("3.8", "points", "values")
18721868
def transform_affine(self, values):
18731869
# docstring inherited
18741870
# The major speed trap here is just converting to the
@@ -2131,17 +2127,14 @@ def get_matrix(self):
21312127
# docstring inherited
21322128
return self._mtx
21332129

2134-
@_api.rename_parameter("3.8", "points", "values")
21352130
def transform(self, values):
21362131
# docstring inherited
21372132
return np.asanyarray(values)
21382133

2139-
@_api.rename_parameter("3.8", "points", "values")
21402134
def transform_affine(self, values):
21412135
# docstring inherited
21422136
return np.asanyarray(values)
21432137

2144-
@_api.rename_parameter("3.8", "points", "values")
21452138
def transform_non_affine(self, values):
21462139
# docstring inherited
21472140
return np.asanyarray(values)
@@ -2230,7 +2223,6 @@ def frozen(self):
22302223
# docstring inherited
22312224
return blended_transform_factory(self._x.frozen(), self._y.frozen())
22322225

2233-
@_api.rename_parameter("3.8", "points", "values")
22342226
def transform_non_affine(self, values):
22352227
# docstring inherited
22362228
if self._x.is_affine and self._y.is_affine:
@@ -2423,12 +2415,10 @@ def contains_branch_seperately(self, other_transform):
24232415

24242416
__str__ = _make_str_method("_a", "_b")
24252417

2426-
@_api.rename_parameter("3.8", "points", "values")
24272418
def transform_affine(self, values):
24282419
# docstring inherited
24292420
return self.get_affine().transform(values)
24302421

2431-
@_api.rename_parameter("3.8", "points", "values")
24322422
def transform_non_affine(self, values):
24332423
# docstring inherited
24342424
if self._a.is_affine and self._b.is_affine:

0 commit comments

Comments
 (0)
pFad - Phonifier reborn

Pfad - The Proxy pFad © 2024 Your Company Name. All rights reserved.





Check this box to remove all script contents from the fetched content.



Check this box to remove all images from the fetched content.


Check this box to remove all CSS styles from the fetched content.


Check this box to keep images inefficiently compressed and original size.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy