diff --git a/examples/tutorials/plot.py b/examples/tutorials/plot.py index 52ed3e8f4c1..1de7bf77f57 100644 --- a/examples/tutorials/plot.py +++ b/examples/tutorials/plot.py @@ -41,8 +41,7 @@ ######################################################################################## -# We'll use :meth:`pygmt.Figure.plot` method to plot circles on the locations of the -# hypocenters of the earthquakes. +# We'll use the :meth:`pygmt.Figure.plot` method to plot circles on the earthquake epicenters. fig = pygmt.Figure() fig.basemap(region=region, projection="M15c", frame=True) @@ -52,7 +51,7 @@ ######################################################################################## # We used the style ``c0.3c`` which means "circles of 0.3 centimeter size". The ``pen`` -# parameter controls the outline of the symbols and the ``color`` controls the fill. +# parameter controls the outline of the symbols and the ``color`` parameter controls the fill. # # We can map the size of the circles to the earthquake magnitude by passing an array to # the ``sizes`` parameter. Because the magnitude is on a logarithmic scale, it helps to @@ -72,12 +71,12 @@ fig.show() ######################################################################################## -# Notice that we didn't include the size in the ``style`` argument this time, just the +# Notice that we didn't include the size in the ``style`` parameter this time, just the # symbol ``c`` (circles) and the unit ``c`` (centimeter). So in this case, the sizes # will be interpreted as being in centimeters. # # We can also map the colors of the markers to the depths by passing an array to the -# ``color`` argument and providing a colormap name (``cmap``). We can even use the new +# ``color`` parameter and providing a colormap name (``cmap``). We can even use the new # matplotlib colormap "viridis". Here, we first create a continuous colormap # ranging from the minimum depth to the maximum depth of the earthquakes # using :func:`pygmt.makecpt`, then set ``cmap=True`` in :func:`pygmt.Figure.plot`