diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 74fc3f4c5a14..a3c9abc96bae 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -1090,7 +1090,7 @@ def axvspan(self, xmin, xmax, ymin=0, ymax=1, **kwargs):
self._request_autoscale_view("x")
return p
- @_api.make_keyword_only("3.9", "label")
+ @_api.make_keyword_only("3.10", "label")
@_preprocess_data(replace_names=["y", "xmin", "xmax", "colors"],
label_namer="y")
def hlines(self, y, xmin, xmax, colors=None, linestyles='solid',
@@ -1182,7 +1182,7 @@ def hlines(self, y, xmin, xmax, colors=None, linestyles='solid',
self._request_autoscale_view()
return lines
- @_api.make_keyword_only("3.9", "label")
+ @_api.make_keyword_only("3.10", "label")
@_preprocess_data(replace_names=["x", "ymin", "ymax", "colors"],
label_namer="x")
def vlines(self, x, ymin, ymax, colors=None, linestyles='solid',
@@ -1274,7 +1274,7 @@ def vlines(self, x, ymin, ymax, colors=None, linestyles='solid',
self._request_autoscale_view()
return lines
- @_api.make_keyword_only("3.9", "orientation")
+ @_api.make_keyword_only("3.10", "orientation")
@_preprocess_data(replace_names=["positions", "lineoffsets",
"linelengths", "linewidths",
"colors", "linestyles"])
@@ -2000,7 +2000,7 @@ def acorr(self, x, **kwargs):
"""
return self.xcorr(x, x, **kwargs)
- @_api.make_keyword_only("3.9", "normed")
+ @_api.make_keyword_only("3.10", "normed")
@_preprocess_data(replace_names=["x", "y"], label_namer="y")
def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
usevlines=True, maxlags=10, **kwargs):
@@ -3160,7 +3160,7 @@ def stem(self, *args, linefmt=None, markerfmt=None, basefmt=None, bottom=0,
self.add_container(stem_container)
return stem_container
- @_api.make_keyword_only("3.9", "explode")
+ @_api.make_keyword_only("3.10", "explode")
@_preprocess_data(replace_names=["x", "explode", "labels", "colors"])
def pie(self, x, explode=None, labels=None, colors=None,
autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1,
@@ -3440,7 +3440,7 @@ def _errorevery_to_mask(x, errorevery):
everymask[errorevery] = True
return everymask
- @_api.make_keyword_only("3.9", "ecolor")
+ @_api.make_keyword_only("3.10", "ecolor")
@_preprocess_data(replace_names=["x", "y", "xerr", "yerr"],
label_namer="y")
@_docstring.interpd
@@ -3817,7 +3817,7 @@ def apply_mask(arrays, mask):
return errorbar_container # (l0, caplines, barcols)
- @_api.make_keyword_only("3.9", "notch")
+ @_api.make_keyword_only("3.10", "notch")
@_preprocess_data()
@_api.rename_parameter("3.9", "labels", "tick_labels")
def boxplot(self, x, notch=None, sym=None, vert=None,
@@ -4155,7 +4155,7 @@ def boxplot(self, x, notch=None, sym=None, vert=None,
orientation=orientation)
return artists
- @_api.make_keyword_only("3.9", "widths")
+ @_api.make_keyword_only("3.10", "widths")
def bxp(self, bxpstats, positions=None, widths=None, vert=None,
orientation='vertical', patch_artist=False, shownotches=False,
showmeans=False, showcaps=True, showbox=True, showfliers=True,
@@ -4689,7 +4689,7 @@ def invalid_shape_exception(csize, xsize):
colors = None # use cmap, norm after collection is created
return c, colors, edgecolors
- @_api.make_keyword_only("3.9", "marker")
+ @_api.make_keyword_only("3.10", "marker")
@_preprocess_data(replace_names=["x", "y", "s", "linewidths",
"edgecolors", "c", "facecolor",
"facecolors", "color"],
@@ -4985,7 +4985,7 @@ def scatter(self, x, y, s=None, c=None, marker=None, cmap=None, norm=None,
return collection
- @_api.make_keyword_only("3.9", "gridsize")
+ @_api.make_keyword_only("3.10", "gridsize")
@_preprocess_data(replace_names=["x", "y", "C"], label_namer="y")
@_docstring.interpd
def hexbin(self, x, y, C=None, gridsize=100, bins=None,
@@ -6733,7 +6733,7 @@ def clabel(self, CS, levels=None, **kwargs):
#### Data analysis
- @_api.make_keyword_only("3.9", "range")
+ @_api.make_keyword_only("3.10", "range")
@_preprocess_data(replace_names=["x", 'weights'], label_namer="x")
def hist(self, x, bins=None, range=None, density=False, weights=None,
cumulative=False, bottom=None, histtype='bar', align='mid',
@@ -7325,7 +7325,7 @@ def stairs(self, values, edges=None, *,
self._request_autoscale_view()
return patch
- @_api.make_keyword_only("3.9", "range")
+ @_api.make_keyword_only("3.10", "range")
@_preprocess_data(replace_names=["x", "y", "weights"])
@_docstring.interpd
def hist2d(self, x, y, bins=10, range=None, density=False, weights=None,
@@ -7537,7 +7537,7 @@ def ecdf(self, x, weights=None, *, complementary=False,
line.sticky_edges.x[:] = [0, 1]
return line
- @_api.make_keyword_only("3.9", "NFFT")
+ @_api.make_keyword_only("3.10", "NFFT")
@_preprocess_data(replace_names=["x"])
@_docstring.interpd
def psd(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
@@ -7649,7 +7649,7 @@ def psd(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
else:
return pxx, freqs, line
- @_api.make_keyword_only("3.9", "NFFT")
+ @_api.make_keyword_only("3.10", "NFFT")
@_preprocess_data(replace_names=["x", "y"], label_namer="y")
@_docstring.interpd
def csd(self, x, y, NFFT=None, Fs=None, Fc=None, detrend=None,
@@ -7752,7 +7752,7 @@ def csd(self, x, y, NFFT=None, Fs=None, Fc=None, detrend=None,
else:
return pxy, freqs, line
- @_api.make_keyword_only("3.9", "Fs")
+ @_api.make_keyword_only("3.10", "Fs")
@_preprocess_data(replace_names=["x"])
@_docstring.interpd
def magnitude_spectrum(self, x, Fs=None, Fc=None, window=None,
@@ -7839,7 +7839,7 @@ def magnitude_spectrum(self, x, Fs=None, Fc=None, window=None,
return spec, freqs, line
- @_api.make_keyword_only("3.9", "Fs")
+ @_api.make_keyword_only("3.10", "Fs")
@_preprocess_data(replace_names=["x"])
@_docstring.interpd
def angle_spectrum(self, x, Fs=None, Fc=None, window=None,
@@ -7909,7 +7909,7 @@ def angle_spectrum(self, x, Fs=None, Fc=None, window=None,
return spec, freqs, lines[0]
- @_api.make_keyword_only("3.9", "Fs")
+ @_api.make_keyword_only("3.10", "Fs")
@_preprocess_data(replace_names=["x"])
@_docstring.interpd
def phase_spectrum(self, x, Fs=None, Fc=None, window=None,
@@ -7979,7 +7979,7 @@ def phase_spectrum(self, x, Fs=None, Fc=None, window=None,
return spec, freqs, lines[0]
- @_api.make_keyword_only("3.9", "NFFT")
+ @_api.make_keyword_only("3.10", "NFFT")
@_preprocess_data(replace_names=["x", "y"])
@_docstring.interpd
def cohere(self, x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
@@ -8044,7 +8044,7 @@ def cohere(self, x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
return cxy, freqs
- @_api.make_keyword_only("3.9", "NFFT")
+ @_api.make_keyword_only("3.10", "NFFT")
@_preprocess_data(replace_names=["x"])
@_docstring.interpd
def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
@@ -8206,7 +8206,7 @@ def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
return spec, freqs, t, im
- @_api.make_keyword_only("3.9", "precision")
+ @_api.make_keyword_only("3.10", "precision")
@_docstring.interpd
def spy(self, Z, precision=0, marker=None, markersize=None,
aspect='equal', origin="upper", **kwargs):
@@ -8397,7 +8397,7 @@ def matshow(self, Z, **kwargs):
mticker.MaxNLocator(nbins=9, steps=[1, 2, 5, 10], integer=True))
return im
- @_api.make_keyword_only("3.9", "vert")
+ @_api.make_keyword_only("3.10", "vert")
@_preprocess_data(replace_names=["dataset"])
def violinplot(self, dataset, positions=None, vert=None,
orientation='vertical', widths=0.5, showmeans=False,
@@ -8536,7 +8536,7 @@ def _kde_method(X, coords):
showmedians=showmedians, side=side,
facecolor=facecolor, linecolor=linecolor)
- @_api.make_keyword_only("3.9", "vert")
+ @_api.make_keyword_only("3.10", "vert")
def violin(self, vpstats, positions=None, vert=None,
orientation='vertical', widths=0.5, showmeans=False,
showextrema=True, showmedians=False, side='both',
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