diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py index eebbdcaed459..85b2c1c2ad87 100644 --- a/lib/matplotlib/axes/_axes.py +++ b/lib/matplotlib/axes/_axes.py @@ -1095,7 +1095,7 @@ 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', @@ -1187,7 +1187,7 @@ 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', @@ -1279,7 +1279,7 @@ 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"]) @@ -2086,7 +2086,7 @@ 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): @@ -3229,7 +3229,7 @@ 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, @@ -3509,7 +3509,7 @@ 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 @@ -3887,7 +3887,7 @@ 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, @@ -4236,7 +4236,7 @@ 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, @@ -4773,7 +4773,7 @@ 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"], @@ -5064,7 +5064,7 @@ 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, @@ -6814,7 +6814,7 @@ 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', @@ -7405,7 +7405,7 @@ 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, @@ -7617,7 +7617,7 @@ 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, @@ -7729,7 +7729,7 @@ 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, @@ -7832,7 +7832,7 @@ 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, @@ -7919,7 +7919,7 @@ 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, @@ -7989,7 +7989,7 @@ 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, @@ -8059,7 +8059,7 @@ 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, @@ -8124,7 +8124,7 @@ 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, @@ -8286,7 +8286,7 @@ 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): @@ -8477,7 +8477,7 @@ 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, @@ -8603,7 +8603,7 @@ def _kde_method(X, coords): showmeans=showmeans, showextrema=showextrema, showmedians=showmedians, side=side) - @_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'):