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tacaswelltacaswell
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Merge pull request #25632 from ksunden/data_kwarg
Include data kwarg in pyi stubs
2 parents e7fd79f + 3f2b577 commit e458cb2

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3 files changed

+67
-53
lines changed

3 files changed

+67
-53
lines changed

‎ci/mypy-stubtest-allowlist.txt

Lines changed: 0 additions & 38 deletions
Original file line numberDiff line numberDiff line change
@@ -17,44 +17,6 @@ matplotlib.*\.set$
1717
matplotlib.pyplot.*
1818
matplotlib.typing.*
1919

20-
# _preprocess_data arg decorator
21-
matplotlib.axes.*Axes.acorr
22-
matplotlib.axes.*Axes.angle_spectrum
23-
matplotlib.axes.*Axes.bar
24-
matplotlib.axes.*Axes.barbs
25-
matplotlib.axes.*Axes.boxplot
26-
matplotlib.axes.*Axes.broken_barh
27-
matplotlib.axes.*Axes.cohere
28-
matplotlib.axes.*Axes.contour
29-
matplotlib.axes.*Axes.contourf
30-
matplotlib.axes.*Axes.csd
31-
matplotlib.axes.*Axes.ecdf
32-
matplotlib.axes.*Axes.errorbar
33-
matplotlib.axes.*Axes.eventplot
34-
matplotlib.axes.*Axes.fill_between
35-
matplotlib.axes.*Axes.fill_betweenx
36-
matplotlib.axes.*Axes.hexbin
37-
matplotlib.axes.*Axes.hist
38-
matplotlib.axes.*Axes.hist2d
39-
matplotlib.axes.*Axes.hlines
40-
matplotlib.axes.*Axes.imshow
41-
matplotlib.axes.*Axes.magnitude_spectrum
42-
matplotlib.axes.*Axes.pcolor
43-
matplotlib.axes.*Axes.pcolorfast
44-
matplotlib.axes.*Axes.pcolormesh
45-
matplotlib.axes.*Axes.phase_spectrum
46-
matplotlib.axes.*Axes.pie
47-
matplotlib.axes.*Axes.plot_date
48-
matplotlib.axes.*Axes.psd
49-
matplotlib.axes.*Axes.quiver
50-
matplotlib.axes.*Axes.scatter
51-
matplotlib.axes.*Axes.specgram
52-
matplotlib.axes.*Axes.stairs
53-
matplotlib.axes.*Axes.stem
54-
matplotlib.axes.*Axes.violinplot
55-
matplotlib.axes.*Axes.vlines
56-
matplotlib.axes.*Axes.xcorr
57-
5820
# Other decorator modifying signature (maybe investigate)
5921
matplotlib.axis.Axis.draw
6022
matplotlib.offsetbox.*Offset[Bb]ox.get_offset

‎lib/matplotlib/axes/_axes.pyi

Lines changed: 63 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -166,6 +166,8 @@ class Axes(_AxesBase):
166166
colors: ColorType | Sequence[ColorType] | None = ...,
167167
linestyles: LineStyleType = ...,
168168
label: str = ...,
169+
*,
170+
data=...,
169171
**kwargs
170172
) -> LineCollection: ...
171173
def vlines(
@@ -176,6 +178,8 @@ class Axes(_AxesBase):
176178
colors: ColorType | Sequence[ColorType] | None = ...,
177179
linestyles: LineStyleType = ...,
178180
label: str = ...,
181+
*,
182+
data=...,
179183
**kwargs
180184
) -> LineCollection: ...
181185
def eventplot(
@@ -188,14 +192,16 @@ class Axes(_AxesBase):
188192
colors: ColorType | Sequence[ColorType] | None = ...,
189193
alpha: float | Sequence[float] | None = ...,
190194
linestyles: LineStyleType | Sequence[LineStyleType] = ...,
195+
*,
196+
data=...,
191197
**kwargs
192198
) -> EventCollection: ...
193199
def plot(
194200
self,
195201
*args: float | ArrayLike | str,
196202
scalex: bool = ...,
197203
scaley: bool = ...,
198-
data: Any | None = ...,
204+
data = ...,
199205
**kwargs
200206
) -> list[Line2D]: ...
201207
def plot_date(
@@ -206,13 +212,15 @@ class Axes(_AxesBase):
206212
tz: str | datetime.tzinfo | None = ...,
207213
xdate: bool = ...,
208214
ydate: bool = ...,
215+
*,
216+
data=...,
209217
**kwargs
210218
) -> list[Line2D]: ...
211219
def loglog(self, *args, **kwargs) -> list[Line2D]: ...
212220
def semilogx(self, *args, **kwargs) -> list[Line2D]: ...
213221
def semilogy(self, *args, **kwargs) -> list[Line2D]: ...
214222
def acorr(
215-
self, x: ArrayLike, **kwargs
223+
self, x: ArrayLike, *, data=..., **kwargs
216224
) -> tuple[np.ndarray, np.ndarray, LineCollection | Line2D, Line2D | None]: ...
217225
def xcorr(
218226
self,
@@ -222,6 +230,8 @@ class Axes(_AxesBase):
222230
detrend: Callable[[ArrayLike], ArrayLike] = ...,
223231
usevlines: bool = ...,
224232
maxlags: int = ...,
233+
*,
234+
data = ...,
225235
**kwargs
226236
) -> tuple[np.ndarray, np.ndarray, LineCollection | Line2D, Line2D | None]: ...
227237
def step(
@@ -230,7 +240,7 @@ class Axes(_AxesBase):
230240
y: ArrayLike,
231241
*args,
232242
where: Literal["pre", "post", "mid"] = ...,
233-
data: Any | None = ...,
243+
data = ...,
234244
**kwargs
235245
) -> list[Line2D]: ...
236246
def bar(
@@ -241,6 +251,7 @@ class Axes(_AxesBase):
241251
bottom: float | ArrayLike | None = ...,
242252
*,
243253
align: Literal["center", "edge"] = ...,
254+
data = ...,
244255
**kwargs
245256
) -> BarContainer: ...
246257
def barh(
@@ -251,7 +262,7 @@ class Axes(_AxesBase):
251262
left: float | ArrayLike | None = ...,
252263
*,
253264
align: Literal["center", "edge"] = ...,
254-
data: Any | None = ...,
265+
data = ...,
255266
**kwargs
256267
) -> BarContainer: ...
257268
def bar_label(
@@ -268,6 +279,8 @@ class Axes(_AxesBase):
268279
self,
269280
xranges: Sequence[tuple[float, float]],
270281
yrange: tuple[float, float],
282+
*,
283+
data=...,
271284
**kwargs
272285
) -> BrokenBarHCollection: ...
273286
def stem(
@@ -278,7 +291,8 @@ class Axes(_AxesBase):
278291
basefmt: str | None = ...,
279292
bottom: float = ...,
280293
label: str | None = ...,
281-
orientation: Literal["vertical", "horizontal"] = ...
294+
orientation: Literal["vertical", "horizontal"] = ...,
295+
data=...,
282296
) -> StemContainer: ...
283297

284298
# TODO: data kwarg preprocessor?
@@ -302,7 +316,8 @@ class Axes(_AxesBase):
302316
rotatelabels: bool = ...,
303317
*,
304318
normalize: bool = ...,
305-
hatch: str | Sequence[str] | None = ...
319+
hatch: str | Sequence[str] | None = ...,
320+
data=...,
306321
): ...
307322
def errorbar(
308323
self,
@@ -321,6 +336,8 @@ class Axes(_AxesBase):
321336
xuplims: bool = ...,
322337
errorevery: int | tuple[int, int] = ...,
323338
capthick: float | None = ...,
339+
*,
340+
data=...,
324341
**kwargs
325342
) -> ErrorbarContainer: ...
326343
def boxplot(
@@ -352,6 +369,8 @@ class Axes(_AxesBase):
352369
autorange: bool = ...,
353370
zorder: float | None = ...,
354371
capwidths: float | ArrayLike | None = ...,
372+
*,
373+
data=...,
355374
) -> dict[str, Any]: ...
356375
def bxp(
357376
self,
@@ -392,6 +411,7 @@ class Axes(_AxesBase):
392411
*,
393412
edgecolors: Literal["face", "none"] | ColorType | Sequence[ColorType] | None = ...,
394413
plotnonfinite: bool = ...,
414+
data=...,
395415
**kwargs
396416
) -> PathCollection: ...
397417
def hexbin(
@@ -414,6 +434,8 @@ class Axes(_AxesBase):
414434
reduce_C_function: Callable[[np.ndarray], float] = ...,
415435
mincnt: int | None = ...,
416436
marginals: bool = ...,
437+
*,
438+
data=...,
417439
**kwargs
418440
) -> PolyCollection: ...
419441
def arrow(
@@ -422,9 +444,9 @@ class Axes(_AxesBase):
422444
def quiverkey(
423445
self, Q: Quiver, X: float, Y: float, U: float, label: str, **kwargs
424446
) -> QuiverKey: ...
425-
def quiver(self, *args, **kwargs) -> Quiver: ...
426-
def barbs(self, *args, **kwargs) -> Barbs: ...
427-
def fill(self, *args, data: Any | None = ..., **kwargs) -> list[Polygon]: ...
447+
def quiver(self, *args, data=..., **kwargs) -> Quiver: ...
448+
def barbs(self, *args, data=..., **kwargs) -> Barbs: ...
449+
def fill(self, *args, data=..., **kwargs) -> list[Polygon]: ...
428450
def fill_between(
429451
self,
430452
x: ArrayLike,
@@ -433,6 +455,8 @@ class Axes(_AxesBase):
433455
where: Sequence[bool] | None = ...,
434456
interpolate: bool = ...,
435457
step: Literal["pre", "post", "mid"] | None = ...,
458+
*,
459+
data=...,
436460
**kwargs
437461
) -> PolyCollection: ...
438462
def fill_betweenx(
@@ -443,6 +467,8 @@ class Axes(_AxesBase):
443467
where: Sequence[bool] | None = ...,
444468
step: Literal["pre", "post", "mid"] | None = ...,
445469
interpolate: bool = ...,
470+
*,
471+
data=...,
446472
**kwargs
447473
) -> PolyCollection: ...
448474
def imshow(
@@ -463,6 +489,7 @@ class Axes(_AxesBase):
463489
filterrad: float = ...,
464490
resample: bool | None = ...,
465491
url: str | None = ...,
492+
data=...,
466493
**kwargs
467494
) -> AxesImage: ...
468495
def pcolor(
@@ -474,6 +501,7 @@ class Axes(_AxesBase):
474501
cmap: str | Colormap | None = ...,
475502
vmin: float | None = ...,
476503
vmax: float | None = ...,
504+
data=...,
477505
**kwargs
478506
) -> Collection: ...
479507
def pcolormesh(
@@ -486,6 +514,7 @@ class Axes(_AxesBase):
486514
vmax: float | None = ...,
487515
shading: Literal["flat", "nearest", "gouraud", "auto"] | None = ...,
488516
antialiased: bool = ...,
517+
data=...,
489518
**kwargs
490519
) -> QuadMesh: ...
491520
def pcolorfast(
@@ -496,10 +525,11 @@ class Axes(_AxesBase):
496525
cmap: str | Colormap | None = ...,
497526
vmin: float | None = ...,
498527
vmax: float | None = ...,
528+
data=...,
499529
**kwargs
500530
) -> AxesImage | PcolorImage | QuadMesh: ...
501-
def contour(self, *args, **kwargs) -> QuadContourSet: ...
502-
def contourf(self, *args, **kwargs) -> QuadContourSet: ...
531+
def contour(self, *args, data=..., **kwargs) -> QuadContourSet: ...
532+
def contourf(self, *args, data=..., **kwargs) -> QuadContourSet: ...
503533
def clabel(
504534
self, CS: ContourSet, levels: ArrayLike | None = ..., **kwargs
505535
) -> list[Text]: ...
@@ -520,6 +550,8 @@ class Axes(_AxesBase):
520550
color: ColorType | Sequence[ColorType] | None = ...,
521551
label: str | Sequence[str] | None = ...,
522552
stacked: bool = ...,
553+
*,
554+
data=...,
523555
**kwargs
524556
) -> tuple[
525557
np.ndarray | list[np.ndarray],
@@ -534,6 +566,7 @@ class Axes(_AxesBase):
534566
orientation: Literal["vertical", "horizontal"] = ...,
535567
baseline: float | ArrayLike = ...,
536568
fill: bool = ...,
569+
data=...,
537570
**kwargs
538571
) -> StepPatch: ...
539572
def hist2d(
@@ -550,6 +583,8 @@ class Axes(_AxesBase):
550583
weights: ArrayLike | None = ...,
551584
cmin: float | None = ...,
552585
cmax: float | None = ...,
586+
*,
587+
data=...,
553588
**kwargs
554589
) -> tuple[np.ndarray, np.ndarray, np.ndarray, QuadMesh]: ...
555590
def ecdf(
@@ -560,6 +595,7 @@ class Axes(_AxesBase):
560595
complementary: bool=...,
561596
orientation: Literal["vertical", "horizonatal"]=...,
562597
compress: bool=...,
598+
data=...,
563599
**kwargs
564600
) -> Line2D: ...
565601
def psd(
@@ -577,6 +613,8 @@ class Axes(_AxesBase):
577613
sides: Literal["default", "onesided", "twosided"] | None = ...,
578614
scale_by_freq: bool | None = ...,
579615
return_line: bool | None = ...,
616+
*,
617+
data=...,
580618
**kwargs
581619
) -> tuple[np.ndarray, np.ndarray] | tuple[np.ndarray, np.ndarray, Line2D]: ...
582620
def csd(
@@ -595,6 +633,8 @@ class Axes(_AxesBase):
595633
sides: Literal["default", "onesided", "twosided"] | None = ...,
596634
scale_by_freq: bool | None = ...,
597635
return_line: bool | None = ...,
636+
*,
637+
data=...,
598638
**kwargs
599639
) -> tuple[np.ndarray, np.ndarray] | tuple[np.ndarray, np.ndarray, Line2D]: ...
600640
def magnitude_spectrum(
@@ -606,6 +646,8 @@ class Axes(_AxesBase):
606646
pad_to: int | None = ...,
607647
sides: Literal["default", "onesided", "twosided"] | None = ...,
608648
scale: Literal["default", "linear", "dB"] | None = ...,
649+
*,
650+
data=...,
609651
**kwargs
610652
) -> tuple[np.ndarray, np.ndarray, Line2D]: ...
611653
def angle_spectrum(
@@ -616,6 +658,8 @@ class Axes(_AxesBase):
616658
window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
617659
pad_to: int | None = ...,
618660
sides: Literal["default", "onesided", "twosided"] | None = ...,
661+
*,
662+
data=...,
619663
**kwargs
620664
) -> tuple[np.ndarray, np.ndarray, Line2D]: ...
621665
def phase_spectrum(
@@ -626,6 +670,8 @@ class Axes(_AxesBase):
626670
window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ...,
627671
pad_to: int | None = ...,
628672
sides: Literal["default", "onesided", "twosided"] | None = ...,
673+
*,
674+
data=...,
629675
**kwargs
630676
) -> tuple[np.ndarray, np.ndarray, Line2D]: ...
631677
def cohere(
@@ -642,6 +688,8 @@ class Axes(_AxesBase):
642688
pad_to: int | None = ...,
643689
sides: Literal["default", "onesided", "twosided"] = ...,
644690
scale_by_freq: bool | None = ...,
691+
*,
692+
data=...,
645693
**kwargs
646694
) -> tuple[np.ndarray, np.ndarray]: ...
647695
def specgram(
@@ -664,6 +712,8 @@ class Axes(_AxesBase):
664712
scale: Literal["default", "linear", "dB"] | None = ...,
665713
vmin: float | None = ...,
666714
vmax: float | None = ...,
715+
*,
716+
data=...,
667717
**kwargs
668718
) -> tuple[np.ndarray, np.ndarray, np.ndarray, AxesImage]: ...
669719
def spy(
@@ -692,6 +742,8 @@ class Axes(_AxesBase):
692742
| float
693743
| Callable[[GaussianKDE], float]
694744
| None = ...,
745+
*,
746+
data=...,
695747
) -> dict[str, Collection]: ...
696748
def violin(
697749
self,

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