@@ -3242,13 +3242,13 @@ def __init__(self, norms, vmin=None, vmax=None, clip=False):
32423242 The constituent norms. The list must have a minimum length of 2.
32433243 vmin, vmax : float, None, or list of float or None
32443244 Limits of the constituent norms.
3245- If a list, eacheach value is assigned toone of the constituent
3245+ If a list, each value is assigned toeach of the constituent
32463246 norms. Single values are repeated to form a list of appropriate size.
32473247
32483248 clip : bool or list of bools, default: False
32493249 Determines the behavior for mapping values outside the range
32503250 ``[vmin, vmax]`` for the constituent norms.
3251- If a list, eacheach value is assigned toone of the constituent
3251+ If a list, each value is assigned toeach of the constituent
32523252 norms. Single values are repeated to form a list of appropriate size.
32533253
32543254 """
@@ -3348,7 +3348,8 @@ def _changed(self):
33483348def __call__ (self ,value ,clip = None ):
33493349"""
33503350 Normalize the data and return the normalized data.
3351- Each variate in the input is assigned to the a constituent norm.
3351+
3352+ Each variate in the input is assigned to the constituent norm.
33523353
33533354 Parameters
33543355 ----------
@@ -3381,8 +3382,7 @@ def __call__(self, value, clip=None):
33813382
33823383def inverse (self ,value ):
33833384"""
3384- Maps the normalized value (i.e., index in the colormap) back to image
3385- data value.
3385+ Map the normalized value (i.e., index in the colormap) back to image data value.
33863386
33873387 Parameters
33883388 ----------
@@ -3449,7 +3449,7 @@ def _iterable_variates_in_data(data, n_input):
34493449 """
34503450if isinstance (data ,np .ndarray )and data .dtype .fields is not None :
34513451data = [data [descriptor [0 ]]for descriptor in data .dtype .descr ]
3452- if not len (data )= =n_input :
3452+ if len (data )! =n_input :
34533453raise ValueError ("The input to this `MultiNorm` must be of shape "
34543454f"({ n_input } { n_input }
34553455"fields." )