DOC Small fixes in 'Using the image layer'
@@ -16,7 +16,8 @@ kernelspec:
In this document, you will learn how to use the `napari` image layer, including
the types of images that can be displayed, and how to set properties like the
contrast, opacity, colormaps and blending mode. You will also understand how
-to add and manipulate a variety of different types of images both from the
+to add and manipulate a variety of different types of images both from the GUI
+and from the console.
## A simple example
@@ -72,7 +73,7 @@ object that you can index into and when you call
[`np.asarray`](https://numpy.org/doc/stable/reference/generated/numpy.asarray.html)
on it you get back a numpy array.
-The great thing about napari support array-like objects is that you get to keep
+The great thing about napari support of array-like objects is that you get to keep
on using your favorite array libraries without worrying about any conversions as
we'll handle all of that for you.
@@ -223,7 +224,7 @@ viewer = napari.view_image(image, colormap=('diverging', cmap))
from napari.utils import nbscreenshot
-nbscreenshot(viewer, alt_text=" ")
+nbscreenshot(viewer, alt_text="napari viewer with colormap example using random data")
```
Note in this example how we passed the colormap keyword argument as a tuple
