Formatting fixes

pygmt/src/blockmedian.py

@@ -48,7 +48,8 @@ def blockmedian(table, outfile=None, **kwargs):
  Specify the region of interest.
 
  outfile : str
- Required if 'table' is a file. The file name for the output ASCII file.
+ Required if ``table`` is a file. The file name for the output ASCII
+ file.
 
  {V}
 

pygmt/src/grdfilter.py

@@ -35,12 +35,12 @@ def grdfilter(grid, **kwargs):
  Filter a grid file in the time domain using one of the selected convolution
  or non-convolution isotropic or rectangular filters and compute distances
  using Cartesian or Spherical geometries. The output grid file can
- optionally be generated as a sub-region of the input (via *region*) and/or
- with new increment (via *spacing*) or registration (via *toggle*). In this
- way, one may have "extra space" in the input data so that the edges will
- not be used and the output can be within one half-width of the input edges.
- If the filter is low-pass, then the output may be less frequently sampled
- than the input.
+ optionally be generated as a sub-region of the input (via ``region``)
+ and/or with new increment (via ``spacing``) or registration
+ (via ``toggle``). In this way, one may have "extra space" in the input
+ data so that the edges will not be used and the output can be within one
+ half-width of the input edges. If the filter is low-pass, then the output
+ may be less frequently sampled than the input.
 
  Full option list at :gmt-docs:`grdfilter.html`
 

pygmt/src/info.py

@@ -26,11 +26,12 @@ def info(table, **kwargs):
  find the extent of the first two columns rounded up and down to the nearest
  multiple of the supplied increments given by *spacing*. Such output will be
  in a numpy.ndarray form ``[w, e, s, n]``, which can be used directly as the
- *region* argument for other modules (hence only dx and dy are needed). If
- the *per_column* option is combined with *spacing*, then the numpy.ndarray
- output will be rounded up/down for as many columns as there are increments
- provided in *spacing*. A similar option *nearest_multiple* option will
- provide a numpy.ndarray in the form of ``[zmin, zmax, dz]`` for makecpt.
+ ``region`` argument for other modules (hence only dx and dy are needed).
+ If the ``per_column`` option is combined with ``spacing``, then the
+ numpy.ndarray output will be rounded up/down for as many columns as there
+ are increments provided in ``spacing``. A similar option
+ ``nearest_multiple`` option will provide a numpy.ndarray in the form of
+ ``[zmin, zmax, dz]`` for makecpt.
 
  Full option list at :gmt-docs:`gmtinfo.html`