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Co-authored-by: Dongdong Tian <[email protected]>

pygmt/figure.py

@@ -164,7 +164,7 @@ def psconvert(self, **kwargs):
  combined with any of the other formats. For example, **ef** creates
  both an EPS and a PDF file. Using **F** creates a multi-page PDF
  file from the list of input PS or PDF files. It requires the
- ``prefix`` option.
+ ``prefix`` parameter.
  """
  kwargs = self._preprocess(**kwargs)
  # Default cropping the figure to True
@@ -201,7 +201,8 @@ def savefig(
  If True, will crop the figure canvas (page) to the plot area.
  anti_alias: bool
  If True, will use anti aliasing when creating raster images (PNG,
- JPG, TIFF). More specifically, it uses options ``t2, g2`` in
+ JPG, TIFF). More specifically, it passes arguments ``t2`` 
+ and ``g2`` to the ``anti_aliasing`` parameter of
  :meth:`pygmt.Figure.psconvert`. Ignored if creating vector
  graphics.
  show: bool

pygmt/src/info.py

@@ -24,14 +24,14 @@ def info(table, **kwargs):
  reported as min/max pairs. It recognizes NaNs and will print warnings if
  the number of columns vary from record to record. As an option, it will
  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
+ 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`` parameter for other modules (hence only *dx* and *dy* are needed).
+ If the ``per_column`` parameter 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
+ are increments provided in ``spacing``. A similar parameter
  ``nearest_multiple`` option will provide a numpy.ndarray in the form of
- ``[zmin, zmax, dz]`` for makecpt.
+ [*zmin*, *zmax*, *dz*]`` for makecpt.
 
  Full option list at :gmt-docs:`gmtinfo.html`