Fix LaTeX formatting in examples

oscargus · oscargus · commit 75d9fb519753 · 2022-04-04T14:37:55.000+02:00
diff --git a/examples/mplot3d/projections.py b/examples/mplot3d/projections.py
@@ -16,15 +16,15 @@
 
 You can calculate focal length from a FOV via the equation:
 
-.. mathmpl::
+.. math::
 
-    1 / \tan (FOV / 2)
+    1 / \\tan (\\mathrm{FOV} / 2)
 
 Or vice versa:
 
-.. mathmpl::
+.. math::
 
-    FOV = 2 * \atan (1 / focal length)
+    \\mathrm{FOV} = 2 \\arctan (1 / \\mathrm{focal length})
 
 """
 
diff --git a/examples/scales/asinh_demo.py b/examples/scales/asinh_demo.py
@@ -15,13 +15,13 @@
 
 .. math::
 
-    a \\rightarrow a + {\\cal O}(a^3)
+    a \\rightarrow a + \\mathcal{O}(a^3)
 
 but for larger values (i.e. :math:`|a| \\gg a_0`, this is asymptotically
 
 .. math::
 
-    a \\rightarrow a_0 \\, {\\rm sgn}(a) \\ln |a| + {\\cal O}(1)
+    a \\rightarrow a_0 \\, \\mathrm{sgn}(a) \\ln |a| + \\mathcal{O}(1)
 
 As with the `symlog <.scale.SymmetricalLogScale>` scaling,
 this allows one to plot quantities
diff --git a/lib/matplotlib/scale.py b/lib/matplotlib/scale.py
@@ -505,9 +505,9 @@ class AsinhScale(ScaleBase):
     :math:`a \\rightarrow a_0 \\sinh^{-1} (a / a_0)` where :math:`a_0`
     is the effective width of the linear region of the transformation.
     In that region, the transformation is
-    :math:`a \\rightarrow a + {\\cal O}(a^3)`.
+    :math:`a \\rightarrow a + \\mathcal{O}(a^3)`.
     For large values of :math:`a` the transformation behaves as
-    :math:`a \\rightarrow a_0 \\, {\\rm sgn}(a) \\ln |a| + {\\cal O}(1)`.
+    :math:`a \\rightarrow a_0 \\, \\mathrm{sgn}(a) \\ln |a| + \\mathcal{O}(1)`.
 
     .. note::
 
