extend ellipsis to work with matplotlib 3

Author: pdebuyl

advanced/scipy_sparse/introduction.rst

@@ -32,9 +32,9 @@ Why Sparse Matrices?
     >>> plt.plot(x, 8.0 * (x**2) / 1e6, lw=5)    # doctest: +ELLIPSIS
     [<matplotlib.lines.Line2D object at ...>]
     >>> plt.xlabel('size n')    # doctest: +ELLIPSIS
-    Text(...,'size n')
+    Text(...'size n')
     >>> plt.ylabel('memory [MB]')    # doctest: +ELLIPSIS
-    Text(...,'memory [MB]')
+    Text(...'memory [MB]')
 
 Sparse Matrices vs. Sparse Matrix Storage Schemes
 -------------------------------------------------

intro/matplotlib/index.rst

@@ -1127,12 +1127,12 @@ from within a python session:
    >>> help(plt.plot)    # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
    Help on function plot in module matplotlib.pyplot:
    <BLANKLINE>
-   plot(*args, **kwargs)
+   plot(*args,...)
        Plot y versus x as lines and/or markers.
    <BLANKLINE>
        Call signatures::
    <BLANKLINE>
-	   plot([x], y, [fmt], data=None, **kwargs)
+	   plot([x], y, [fmt],...data=None, **kwargs)
 	   plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
    ...
 

intro/numpy/operations.rst

@@ -433,9 +433,9 @@ Other reductions
    >>> plt.plot(t, np.sqrt(mean_sq_distance), 'g.', t, np.sqrt(t), 'y-') # doctest: +ELLIPSIS
    [<matplotlib.lines.Line2D object at ...>, <matplotlib.lines.Line2D object at ...>]
    >>> plt.xlabel(r"$t$") # doctest: +ELLIPSIS
-   Text(...,'$t$')
+   Text(...'$t$')
    >>> plt.ylabel(r"$\sqrt{\langle (\delta x)^2 \rangle}$") # doctest: +ELLIPSIS
-   Text(...,'$\\sqrt{\\langle (\\delta x)^2 \\rangle}$')
+   Text(...'$\\sqrt{\\langle (\\delta x)^2 \\rangle}$')
    >>> plt.tight_layout() # provide sufficient space for labels
 
   .. image:: auto_examples/images/sphx_glr_plot_randomwalk_001.png