@@ -1991,7 +1991,7 @@ def acorr(self, x, **kwargs):
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The lag vector.
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c : array (length ``2*maxlags+1``)
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The auto correlation vector.
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- line : `. LineCollection` or `.Line2D`
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+ line : `~matplotlib.collections. LineCollection` or `~matplotlib.lines .Line2D`
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`.Artist` added to the Axes of the correlation:
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- `.LineCollection` if *usevlines* is True.
@@ -2068,7 +2068,7 @@ def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
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The lag vector.
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c : array (length ``2*maxlags+1``)
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The auto correlation vector.
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- line : `. LineCollection` or `.Line2D`
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+ line : `~matplotlib.collections. LineCollection` or `~matplotlib.lines .Line2D`
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`.Artist` added to the Axes of the correlation:
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- `.LineCollection` if *usevlines* is True.
@@ -2706,7 +2706,7 @@ def bar_label(self, container, labels=None, *, fmt="%g", label_type="edge",
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Parameters
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----------
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- container : `.BarContainer`
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+ container : `~matplotlib.container .BarContainer`
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Container with all the bars and optionally errorbars, likely
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returned from `.bar` or `.barh`.
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@@ -6703,8 +6703,8 @@ def hist(self, x, bins=None, range=None, density=False, weights=None,
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edge of last bin). Always a single array even when multiple data
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sets are passed in.
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- patches : `. BarContainer` or list of a single `.Polygon` or list of \
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- such objects
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+ patches : `~matplotlib.container. BarContainer` or list of a single \
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+ `~matplolib.patches.Polygon` or list of such objects
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Container of individual artists used to create the histogram
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or list of such containers if there are multiple input datasets.
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