@@ -172,12 +172,12 @@ def midpoints_plus_ends(x):
172172fig .colorbar (cf , ax = ax )
173173
174174# %%
175- # Note that like for `.Axes.pcolormesh`, the grid need not be orthogonal.
176- # Here is the same data as above, but with the y grid points varying with x:
177- #
178- # The *levels* can be specified with a list of levels or a locator (see
179- # :ref:`contourf_log` for an example of using a locator), and the colormap can
180- # be set with the *cmap* argument (see :ref:`colormaps`).
175+ # Note that like for `.Axes.pcolormesh`, the grid need not be orthogonal. In
176+ # the following example the the same data is plotted as above, but with the y
177+ # grid points varying with x. The contour *levels* are also manually specified
178+ # in this example with a list of levels, (see :ref:`contourf_log` for an
179+ # example of using a tick locator instead of a list ), and the colormap set with
180+ # the *cmap* argument (see :ref:`colormaps`).
181181
182182Yn = Y + 0.3 * np .abs (x )
183183
@@ -198,10 +198,10 @@ def midpoints_plus_ends(x):
198198# %%
199199# barbs and quiver
200200# ----------------
201- # `~.axes.Axes.barbs` and `~.axes.Axes.quiver` allow us to represent vector
202- # fields specified at points on an x-y grid by two-dimensional arrays U, V.
203- # The arrays must be the same shape as x and y and the arrows are placed at the
204- # corresponding points in the grid. The main difference between the two
201+ # `~.axes.Axes.barbs` and `~.axes.Axes.quiver` allow us to represent gridded
202+ # vector fields specified at points on an x-y grid by two-dimensional arrays U,
203+ # V. The arrays must be the same shape as x and y and the arrows are placed at
204+ # the corresponding points in the grid. The main difference between the two
205205# functions is that `~.axes.Axes.barbs` plots barbs, which are a more
206206# traditional representation of wind speed and direction, while
207207# `~.axes.Axes.quiver` plots arrows with a uniform size and the direction is
@@ -249,16 +249,14 @@ def midpoints_plus_ends(x):
249249ax .set_title ('streamplot' )
250250
251251# %%
252- # There are more examples of how to style the streamlines in the
253- # :ref:`streamplot demo<plot_streamplot>`. Note that `~.axes.Axes.streamplot`
254- # performs an interpolation and the streamlines are not guaranteed to be
255- # accurate. For more accurate streamlines, the data grid could be refined.
252+ # `~.axes.Axes.streamplot` performs an interpolation and the streamlines are
253+ # not guaranteed to be accurate. For more accurate streamlines, the data grid
254+ # could be refined.
256255#
257256# .. note::
258257#
259- # Unlike `~.axes.Axes.barbs` and `~.axes.Axes.quiver`,
260- # `~.axes.Axes.streamplot` does not accept 2D arrays for the x and y data.
261- # The x and y data must be 1D arrays, and the spacing between the points must
258+ # `~.axes.Axes.streamplot` does not accept 2D arrays for the x and y data:
259+ # the x and y data must be 1D arrays, and the spacing between the points must
262260# be uniform.
263261#
264262# .. seealso:: :ref:`Streamplot demo <plot_streamplot>`
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