Update doc/python/imshow.md

Co-authored-by: Marianne Corvellec <[email protected]>

Author: emmanuelle

doc/python/imshow.md

@@ -403,7 +403,7 @@ fig.show()
 
 *Introduced in plotly 4.11*
 
-For three-dimensional image datasets, obtained for example by MRI or CT in medical imaging, one can explore the dataset by representing its different planes as facets. The `facet_col` argument specifies along which axes the image is sliced through to make the facets. With `facet_col_wrap` , one can set the maximum number of columns. For image datasets passed as xarrays, it is also possible to give an axis name as a string for `facet_col`.
+For three-dimensional image datasets, obtained for example by MRI or CT in medical imaging, one can explore the dataset by representing its different planes as facets. The `facet_col` argument specifies along which axis the image is sliced through to make the facets. With `facet_col_wrap`, one can set the maximum number of columns. For image datasets passed as xarrays, it is also possible to specify the axis by its name (label), thus passing a string to `facet_col`.
 
 It is recommended to use `binary_string=True` for facetted plots of images in order to keep a small figure size and a short rendering time.