@@ -78,7 +78,7 @@ def _scale_norm(self, norm, vmin, vmax, A):
7878raise ValueError (
7979"Passing a Normalize instance simultaneously with "
8080"vmin/vmax is not supported. Please pass vmin/vmax "
81- "directly to the norm when creating it. " )
81+ "directly to the norm when creating it" )
8282
8383# always resolve the autoscaling so we have concrete limits
8484# rather than deferring to draw time.
@@ -174,7 +174,7 @@ def _pass_image_data(x, alpha=None, bytes=False, norm=True):
174174
175175if norm and (xx .max ()> 1 or xx .min ()< 0 ):
176176raise ValueError ("Floating point image RGB values "
177- "must be in the 0..1 range. " )
177+ "must be in the 0..1 range" )
178178if bytes :
179179xx = (xx * 255 ).astype (np .uint8 )
180180elif xx .dtype == np .uint8 :
@@ -226,7 +226,7 @@ def _set_cmap(self, cmap):
226226if self .norm .n_output != cmap_obj .n_variates :
227227raise ValueError (f"The colormap{ cmap }
228228f"{ self .norm .n_output }
229- f"the{ type (self .norm )} . " )
229+ f"the{ type (self .norm )} )
230230self ._cmap = cmap_obj
231231if not in_init :
232232self .changed ()# Things are not set up properly yet.
@@ -788,7 +788,7 @@ def _ensure_norm(norm, n_variates=1):
788788return norm
789789raise ValueError (
790790"Invalid norm for multivariate colormap with "
791- f"{ n_variates } . "
791+ f"{ n_variates }
792792 )
793793
794794
@@ -840,15 +840,12 @@ def _ensure_cmap(cmap, accept_multivariate=False):
840840
841841# this error message is a variant of _api.check_in_list but gives
842842# additional hints as to how to access multivariate colormaps
843-
844- msg = f"{ cmap !r}
845- msg += "; supported values for scalar colormaps are "
846- msg += f"{ ', ' .join (map (repr ,sorted (mpl .colormaps )))} \n "
847- msg += "See matplotlib.bivar_colormaps() and"
848- msg += " matplotlib.multivar_colormaps() for"
849- msg += " bivariate and multivariate colormaps."
850-
851- raise ValueError (msg )
843+ raise ValueError (f"{ cmap !r}
844+ "; supported values for scalar colormaps are "
845+ f"{ ', ' .join (map (repr ,sorted (mpl .colormaps )))} \n "
846+ "See `matplotlib.bivar_colormaps()` and"
847+ " `matplotlib.multivar_colormaps()` for"
848+ " bivariate and multivariate colormaps" )
852849
853850if isinstance (cmap ,colors .Colormap ):
854851return cmap
@@ -921,10 +918,10 @@ def _ensure_multivariate_data(data, n_input):
921918return data
922919
923920elif n_input == 2 :
924- raise ValueError ("Invalid data entry formutlivariate data. The data"
921+ raise ValueError ("Invalid data entry formultivariate data. The data"
925922" must contain complex numbers, or have a first dimension 2,"
926923" or be of a dtype with 2 fields" )
927924else :
928- raise ValueError ("Invalid data entry formutlivariate data. The shape"
925+ raise ValueError ("Invalid data entry formultivariate data. The shape"
929926f" of the data must have a first dimension{ n_input }
930927f" or be of a dtype with{ n_input } )