@@ -59,7 +59,8 @@ Python Morphing Functions
5959
6060 9. Notice that the two-column format of the input to ``morph_arrays `` is the same as the
6161 output of ``morph `` and ``morph_arrays ``. It is VERY IMPORTANT that the data is in two-column format
62- rather than the traditional two-row format. This is to reflect the file format used to store PDFs.
62+ rather than the traditional two-row format. This is to reflect the file formats conventionally
63+ used to store PDFs.
6364 10. For a full list of parameters used by (both) ``morph `` and ``morph_arrays ``, see the Full Parameter List
6465 section below.
6566
@@ -155,7 +156,7 @@ funcy: tuple (function, dict)
155156Python-Specific Morphs
156157======================
157158
158- Some morphs in diffpy.morph are supported only in Python. Here, we detail
159+ Some morphs in `` diffpy.morph `` are supported only in Python. Here, we detail
159160how they are used and how to call them.
160161
161162funcy: tuple (function, dict)
@@ -170,4 +171,4 @@ funcy: tuple (function, dict)
170171
171172 This function takes in both the abscissa and ordinate on top of three additional
172173 parameters a, b, and c. To use the funcy parameter with initial guesses
173- a=1.0, b=2.0, c=3.0, we would pass ``funcy=(linear, {a: 1.0, b: 2.0, c: 3.0}) ``.
174+ a=1.0, b=2.0, c=3.0, we would pass ``funcy=(linear, {a: 1.0, b: 2.0, c: 3.0}) ``.
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