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Commit 24bcd30

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anntzeranntzer
committed
Recommend multiple_yaxis_with_spines over parasite axes.
Standard Axes are, well, more standard. Also some small rewording, and make the axes limits/label setting shorter with `.set()`, as that's not really the main point of the examples.
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‎examples/axisartist/demo_parasite_axes.py

Copy file name to clipboardExpand all lines: examples/axisartist/demo_parasite_axes.py
+8-14Lines changed: 8 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -9,18 +9,18 @@
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This approach uses `mpl_toolkits.axes_grid1.parasite_axes.HostAxes` and
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`mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes`.
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An alternative approach using standard Matplotlib subplots is shown in the
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:doc:`/gallery/spines/multiple_yaxis_with_spines` example.
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The standard and recommended approach is to use instead standard Matplotlib
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axes, as shown in the :doc:`/gallery/spines/multiple_yaxis_with_spines`
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example.
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An alternative approach using :mod:`mpl_toolkits.axes_grid1`
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and :mod:`mpl_toolkits.axisartist` is found in the
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An alternative approach using `mpl_toolkits.axes_grid1` and
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`mpl_toolkits.axisartist` is shown in the
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:doc:`/gallery/axisartist/demo_parasite_axes2` example.
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"""
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from mpl_toolkits.axisartist.parasite_axes import HostAxes
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import matplotlib.pyplot as plt
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fig = plt.figure()
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host = fig.add_axes([0.15, 0.1, 0.65, 0.8], axes_class=HostAxes)
@@ -39,15 +39,9 @@
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p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
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p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
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host.set_xlim(0, 2)
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host.set_ylim(0, 2)
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par1.set_ylim(0, 4)
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par2.set_ylim(1, 65)
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host.set_xlabel("Distance")
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host.set_ylabel("Density")
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par1.set_ylabel("Temperature")
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par2.set_ylabel("Velocity")
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host.set(xlim=(0, 2), ylim=(0, 2), xlabel="Distance", ylabel="Density")
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par1.set(ylim=(0, 4), ylabel="Temperature")
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par2.set(ylim=(1, 65), ylabel="Velocity")
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host.legend()
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‎examples/axisartist/demo_parasite_axes2.py

Copy file name to clipboardExpand all lines: examples/axisartist/demo_parasite_axes2.py
+12-17Lines changed: 12 additions & 17 deletions
Original file line numberDiff line numberDiff line change
@@ -11,15 +11,16 @@
1111
of those two axis behave separately from each other: different datasets can be
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plotted, and the y-limits are adjusted separately.
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Note that this approach uses the `mpl_toolkits.axes_grid1.parasite_axes`'
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`~mpl_toolkits.axes_grid1.parasite_axes.host_subplot` and
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`mpl_toolkits.axisartist.axislines.Axes`. An alternative approach using the
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`~mpl_toolkits.axes_grid1.parasite_axes`'s
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`~.mpl_toolkits.axes_grid1.parasite_axes.HostAxes` and
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`~.mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes` is the
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This approach uses `mpl_toolkits.axes_grid1.parasite_axes.host_subplot` and
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`mpl_toolkits.axisartist.axislines.Axes`.
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The standard and recommended approach is to use instead standard Matplotlib
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axes, as shown in the :doc:`/gallery/spines/multiple_yaxis_with_spines`
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example.
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An alternative approach using `mpl_toolkits.axes_grid1.parasite_axes.HostAxes`
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and `mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes` is shown in the
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:doc:`/gallery/axisartist/demo_parasite_axes` example.
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An alternative approach using the usual Matplotlib subplots is shown in
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the :doc:`/gallery/spines/multiple_yaxis_with_spines` example.
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"""
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from mpl_toolkits.axes_grid1 import host_subplot
@@ -41,15 +42,9 @@
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p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
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p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
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host.set_xlim(0, 2)
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host.set_ylim(0, 2)
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par1.set_ylim(0, 4)
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par2.set_ylim(1, 65)
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host.set_xlabel("Distance")
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host.set_ylabel("Density")
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par1.set_ylabel("Temperature")
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par2.set_ylabel("Velocity")
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host.set(xlim=(0, 2), ylim=(0, 2), xlabel="Distance", ylabel="Density")
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par1.set(ylim=(0, 4), ylabel="Temperature")
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par2.set(ylim=(1, 65), ylabel="Velocity")
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host.legend()
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‎examples/spines/multiple_yaxis_with_spines.py

Copy file name to clipboardExpand all lines: examples/spines/multiple_yaxis_with_spines.py
+14-23Lines changed: 14 additions & 23 deletions
Original file line numberDiff line numberDiff line change
@@ -1,21 +1,20 @@
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r"""
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==========================
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Multiple Yaxis With Spines
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==========================
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===========================
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Multiple y-axis with Spines
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===========================
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Create multiple y axes with a shared x axis. This is done by creating
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a `~.axes.Axes.twinx` axes, turning all spines but the right one invisible
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and offset its position using `~.spines.Spine.set_position`.
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Note that this approach uses `matplotlib.axes.Axes` and their
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`~matplotlib.spines.Spine`\s. An alternative approach for parasite
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axes is shown in the :doc:`/gallery/axisartist/demo_parasite_axes` and
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`~matplotlib.spines.Spine`\s. Alternative approaches using non-standard axes
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are shown in the :doc:`/gallery/axisartist/demo_parasite_axes` and
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:doc:`/gallery/axisartist/demo_parasite_axes2` examples.
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"""
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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fig.subplots_adjust(right=0.75)
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@@ -26,29 +25,21 @@
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# placed on the right by twinx above.
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twin2.spines.right.set_position(("axes", 1.2))
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p1, = ax.plot([0, 1, 2], [0, 1, 2], "b-", label="Density")
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p2, = twin1.plot([0, 1, 2], [0, 3, 2], "r-", label="Temperature")
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p3, = twin2.plot([0, 1, 2], [50, 30, 15], "g-", label="Velocity")
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ax.set_xlim(0, 2)
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ax.set_ylim(0, 2)
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twin1.set_ylim(0, 4)
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twin2.set_ylim(1, 65)
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p1, = ax.plot([0, 1, 2], [0, 1, 2], "C0", label="Density")
29+
p2, = twin1.plot([0, 1, 2], [0, 3, 2], "C1", label="Temperature")
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p3, = twin2.plot([0, 1, 2], [50, 30, 15], "C2", label="Velocity")
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38-
ax.set_xlabel("Distance")
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ax.set_ylabel("Density")
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twin1.set_ylabel("Temperature")
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twin2.set_ylabel("Velocity")
32+
ax.set(xlim=(0, 2), ylim=(0, 2), xlabel="Distance", ylabel="Density")
33+
twin1.set(ylim=(0, 4), ylabel="Temperature")
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twin2.set(ylim=(1, 65), ylabel="Velocity")
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ax.yaxis.label.set_color(p1.get_color())
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twin1.yaxis.label.set_color(p2.get_color())
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twin2.yaxis.label.set_color(p3.get_color())
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47-
tkw = dict(size=4, width=1.5)
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ax.tick_params(axis='y', colors=p1.get_color(), **tkw)
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twin1.tick_params(axis='y', colors=p2.get_color(), **tkw)
50-
twin2.tick_params(axis='y', colors=p3.get_color(), **tkw)
51-
ax.tick_params(axis='x', **tkw)
40+
ax.tick_params(axis='y', colors=p1.get_color())
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twin1.tick_params(axis='y', colors=p2.get_color())
42+
twin2.tick_params(axis='y', colors=p3.get_color())
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ax.legend(handles=[p1, p2, p3])
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