Commit63e789a

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Co-authored-by: Thomas A Caswell <tcaswell@gmail.com>

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Lines changed: 2 additions & 2 deletions

Original file line number	Diff line number	Diff line change
`@@ -6377,13 +6377,13 @@ def pcolormesh(self, *args, alpha=None, norm=None, cmap=None, vmin=None,`
`6377`	`6377`	`- (M, N) or M*N: a mesh with scalar data. The values are mapped to`
`6378`	`6378`	`colors using normalization and a colormap. See parameters norm,`
`6379`	`6379`	`cmap, vmin, vmax.`
`6380`		`- - (K, M, N): multipleimages with scalar data. Must be used with`
	`6380`	`+ - (K, M, N): multiplelayers with scalar data. Must be used with`
`6381`	`6381`	`a multivariate or bivariate colormap. See cmap.`
`6382`	`6382`	`- (M, N, 3): an image with RGB values (0-1 float or 0-255 int).`
`6383`	`6383`	`- (M, N, 4): an image with RGBA values (0-1 float or 0-255 int),`
`6384`	`6384`	`i.e. including transparency.`
`6385`	`6385`
`6386`		`- Here M and N define the rows and columns of theimage.`
	`6386`	`+ Here M and N define the rows and columns of themesh.`
`6387`	`6387`
`6388`	`6388`	`X, Y : array-like, optional`
`6389`	`6389`	`The coordinates of the corners of quadrilaterals of a pcolormesh::`

Lines changed: 1 addition & 3 deletions

Original file line number	Diff line number	Diff line change
`@@ -505,9 +505,7 @@ def _format_cursor_data_override(self, data):`
`505`	`505`
`506`	`506`	`# scalar data`
`507`	`507`	`n=self.cmap.N`
`508`		`-g_sig_digits=self._sig_digits_from_norm(self.norm,`
`509`		`-data,`
`510`		`-n)`
	`508`	`+g_sig_digits=self._sig_digits_from_norm(self.norm,data,n)`
`511`	`509`	`returnf"[{data:-#.{g_sig_digits}g}]"`
`512`	`510`
`513`	`511`

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -3266,7 +3266,7 @@ def __init__(self, norms, vmin=None, vmax=None, clip=False):`
`3266`	`3266`	`# Convert the list of norms to a tuple to make it immutable.`
`3267`	`3267`	`# If there is a use case for swapping a single norm, we can add support for`
`3268`	`3268`	`# that later`
`3269`		`-self._norms=tuple(nforninnorms)`
	`3269`	`+self._norms=tuple(norms)`
`3270`	`3270`
`3271`	`3271`	`self.callbacks=cbook.CallbackRegistry(signals=["changed"])`
`3272`	`3272`

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -658,7 +658,7 @@ def _normalize_image_array(A, n_input=1):`
`658`	`658`	`" must be explicitly declared, for example"`
`659`	`659`	`f" cmap='{A.shape[0]}VarAddA'")`
`660`	`660`	`raiseTypeError(f"Invalid shape{A.shape} for image data")`
`661`		`-ifA.ndim==3:`
	`661`	`+ifA.ndim==3andn_input==1:`
`662`	`662`	`# If the input data has values outside the valid range (after`
`663`	`663`	`# normalisation), we issue a warning and then clip X to the bounds`
`664`	`664`	`# - otherwise casting wraps extreme values, hiding outliers and`

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