adaptations to numpy2

03-spatial-operations.qmd

@@ -970,10 +970,6 @@ elev.astype(int)**2
 
 Now we get correct results.
 
-::: callout-note
-**numpy** has the special data types `np.int_` and `np.float_`, which refer to "default" `int` and `float` data types. These are platform dependent, but typically resolve to `np.int64` and `np.float64`. Furthermore, the standard Python types `int` and `float` refer to those same two **numpy** types, respectively. Therefore, for example, either of the three objects `np.int64`, `np.int_` and `int` can be passed to `.astype` in the above example, with identical result. We've used the shortest one, `int`.
-:::
-
 @fig-raster-local-operations demonstrates the result of the last two examples (`elev+elev` and `elev.astype(int)**2`), and two other ones (`np.log(elev)` and `elev>5`).
 
 ```{python}