Fix type checking errors

A handful have been ignored where they appear to be from matplotlib not
being typed. The rest were by relaxing requirements for np.float64
instead of np.floating[Any].

src/scanspec/plot.py

@@ -44,12 +44,12 @@ def __init__(
         self._verts3d = xs, ys, zs
 
     # Added here because of https://github.com/matplotlib/matplotlib/issues/21688
-    def do_3d_projection(self, renderer: Any = None):
+    def do_3d_projection(self, renderer: Any = None):  # type: ignore
         xs3d, ys3d, zs3d = self._verts3d
         xs, ys, zs = proj3d.proj_transform(xs3d, ys3d, zs3d, self.axes.M)  # type: ignore
-        self.set_positions((xs[0], ys[0]), (xs[1], ys[1]))
+        self.set_positions((xs[0], ys[0]), (xs[1], ys[1]))  # type: ignore
 
-        return np.min(zs)
+        return np.min(zs)  # type: ignore
 
     @property
     def verts3d(

src/scanspec/service.py

@@ -338,7 +338,7 @@ def _sub_sample(frames: Frames[str], ratio: float) -> Frames[str]:
     return frames.extract(indexes, calculate_gap=False)
 
 
-def _calc_smallest_step(points: list[npt.NDArray[np.float64]]) -> float:
+def _calc_smallest_step(points: list[npt.NDArray[np.number[Any]]]) -> float:
     # Calc abs diffs of all axes, ignoring any zero values
     absolute_diffs = [_abs_diffs(axis_midpoints) for axis_midpoints in points]
     # Normalize and remove zeros

src/scanspec/specs.py

@@ -450,7 +450,9 @@ def calculate(  # noqa: D102
 
 
 def _dimensions_from_indexes(
-    func: Callable[[npt.NDArray[np.float64]], dict[Axis, npt.NDArray[np.float64]]],
+    func: Callable[
+        [npt.NDArray[np.floating[Any]]], dict[Axis, npt.NDArray[np.floating[Any]]]
+    ],
     axes: list[Axis],
     num: int,
     bounds: bool,
@@ -496,8 +498,8 @@ def axes(self) -> list[Axis]:  # noqa: D102
         return [self.axis]
 
     def _line_from_indexes(
-        self, indexes: npt.NDArray[np.float64]
-    ) -> dict[Axis, npt.NDArray[np.float64]]:
+        self, indexes: npt.NDArray[np.floating[Any]]
+    ) -> dict[Axis, npt.NDArray[np.floating[Any]]]:
         if self.num == 1:
             # Only one point, stop-start gives length of one point
             step = self.stop - self.start
@@ -586,8 +588,8 @@ def axes(self) -> list[Axis]:  # noqa: D102
         return [self.axis]
 
     def _repeats_from_indexes(
-        self, indexes: npt.NDArray[np.float64]
-    ) -> dict[Axis, npt.NDArray[np.float64]]:
+        self, indexes: npt.NDArray[np.floating[Any]]
+    ) -> dict[Axis, npt.NDArray[np.floating[Any]]]:
         return {self.axis: np.full(len(indexes), self.value)}
 
     def calculate(  # noqa: D102
@@ -633,8 +635,8 @@ def axes(self) -> list[Axis]:  # noqa: D102
         return [self.y_axis, self.x_axis]
 
     def _spiral_from_indexes(
-        self, indexes: npt.NDArray[np.float64]
-    ) -> dict[Axis, npt.NDArray[np.float64]]:
+        self, indexes: npt.NDArray[np.floating[Any]]
+    ) -> dict[Axis, npt.NDArray[np.floating[Any]]]:
         # simplest spiral equation: r = phi
         # we want point spacing across area to be the same as between rings
         # so: sqrt(area / num) = ring_spacing