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Commitfcfea77

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Merge pull request#20914 from deep-jkl/19195-rotated-markers
19195 rotated markers
2 parentsd297e41 +7101e3c commitfcfea77

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6 files changed

+380
-21
lines changed

6 files changed

+380
-21
lines changed
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New customization of MarkerStyle
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--------------------------------
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New MarkerStyle parameters allow control of join style and cap style, and for
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the user to supply a transformation to be applied to the marker (e.g. a rotation).
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..plot::
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:include-source: true
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import matplotlib.pyplot as plt
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from matplotlib.markers import MarkerStyle
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from matplotlib.transforms import Affine2D
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fig, ax = plt.subplots(figsize=(6, 1))
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fig.suptitle('New markers', fontsize=14)
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for col, (size, rot) in enumerate(zip([2, 5, 10], [0, 45, 90])):
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t = Affine2D().rotate_deg(rot).scale(size)
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ax.plot(col, 0, marker=MarkerStyle("*", transform=t))
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ax.axis("off")
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ax.set_xlim(-0.1, 2.4)

‎examples/lines_bars_and_markers/marker_reference.py

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.. redirect-from:: /gallery/shapes_and_collections/marker_path
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"""
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frommatplotlib.markersimportMarkerStyle
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importmatplotlib.pyplotasplt
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frommatplotlib.linesimportLine2D
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frommatplotlib.transformsimportAffine2D
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text_style=dict(horizontalalignment='right',verticalalignment='center',
@@ -159,3 +161,96 @@ def split_list(a_list):
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format_axes(ax)
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plt.show()
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###############################################################################
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# Advanced marker modifications with transform
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# ============================================
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#
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# Markers can be modified by passing a transform to the MarkerStyle
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# constructor. Following example shows how a supplied rotation is applied to
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# several marker shapes.
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common_style= {k:vfork,vinfilled_marker_style.items()ifk!='marker'}
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angles= [0,10,20,30,45,60,90]
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fig,ax=plt.subplots()
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fig.suptitle('Rotated markers',fontsize=14)
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ax.text(-0.5,0,'Filled marker',**text_style)
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forx,thetainenumerate(angles):
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t=Affine2D().rotate_deg(theta)
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ax.plot(x,0,marker=MarkerStyle('o','left',t),**common_style)
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ax.text(-0.5,1,'Un-filled marker',**text_style)
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forx,thetainenumerate(angles):
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t=Affine2D().rotate_deg(theta)
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ax.plot(x,1,marker=MarkerStyle('1','left',t),**common_style)
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ax.text(-0.5,2,'Equation marker',**text_style)
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forx,thetainenumerate(angles):
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t=Affine2D().rotate_deg(theta)
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eq=r'$\frac{1}{x}$'
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ax.plot(x,2,marker=MarkerStyle(eq,'left',t),**common_style)
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forx,thetainenumerate(angles):
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ax.text(x,2.5,f"{theta}°",horizontalalignment="center")
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format_axes(ax)
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fig.tight_layout()
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plt.show()
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###############################################################################
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# Setting marker cap style and join style
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# =======================================
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#
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# Markers have default cap and join styles, but these can be
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# customized when creating a MarkerStyle.
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frommatplotlib.markersimportJoinStyle,CapStyle
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marker_inner=dict(markersize=35,
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markerfacecolor='tab:blue',
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markerfacecoloralt='lightsteelblue',
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markeredgecolor='brown',
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markeredgewidth=8,
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)
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marker_outer=dict(markersize=35,
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markerfacecolor='tab:blue',
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markerfacecoloralt='lightsteelblue',
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markeredgecolor='white',
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markeredgewidth=1,
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)
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fig,ax=plt.subplots()
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fig.suptitle('Marker CapStyle',fontsize=14)
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fig.subplots_adjust(left=0.1)
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fory,cap_styleinenumerate(CapStyle):
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ax.text(-0.5,y,cap_style.name,**text_style)
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forx,thetainenumerate(angles):
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t=Affine2D().rotate_deg(theta)
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m=MarkerStyle('1',transform=t,capstyle=cap_style)
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ax.plot(x,y,marker=m,**marker_inner)
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ax.plot(x,y,marker=m,**marker_outer)
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ax.text(x,len(CapStyle)-.5,f'{theta}°',ha='center')
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format_axes(ax)
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plt.show()
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###############################################################################
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# Modifying the join style:
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fig,ax=plt.subplots()
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fig.suptitle('Marker JoinStyle',fontsize=14)
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fig.subplots_adjust(left=0.05)
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fory,join_styleinenumerate(JoinStyle):
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ax.text(-0.5,y,join_style.name,**text_style)
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forx,thetainenumerate(angles):
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t=Affine2D().rotate_deg(theta)
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m=MarkerStyle('*',transform=t,joinstyle=join_style)
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ax.plot(x,y,marker=m,**marker_inner)
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ax.text(x,len(JoinStyle)-.5,f'{theta}°',ha='center')
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format_axes(ax)
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plt.show()
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"""
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==============================================
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Mapping marker properties to multivariate data
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==============================================
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This example shows how to use different properties of markers to plot
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multivariate datasets. Here we represent a successful baseball throw as a
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smiley face with marker size mapped to the skill of thrower, marker rotation to
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the take-off angle, and thrust to the marker color.
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"""
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importnumpyasnp
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importmatplotlib.pyplotasplt
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frommatplotlib.markersimportMarkerStyle
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frommatplotlib.transformsimportAffine2D
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frommatplotlib.textpathimportTextPath
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frommatplotlib.colorsimportNormalize
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SUCCESS_SYMBOLS= [
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TextPath((0,0),"☹"),
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TextPath((0,0),"😒"),
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TextPath((0,0),"☺"),
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]
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N=25
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np.random.seed(42)
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skills=np.random.uniform(5,80,size=N)*0.1+5
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takeoff_angles=np.random.normal(0,90,N)
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thrusts=np.random.uniform(size=N)
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successfull=np.random.randint(0,3,size=N)
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positions=np.random.normal(size=(N,2))*5
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data=zip(skills,takeoff_angles,thrusts,successfull,positions)
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cmap=plt.cm.get_cmap("plasma")
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fig,ax=plt.subplots()
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fig.suptitle("Throwing success",size=14)
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forskill,takeoff,thrust,mood,posindata:
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t=Affine2D().scale(skill).rotate_deg(takeoff)
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m=MarkerStyle(SUCCESS_SYMBOLS[mood],transform=t)
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ax.plot(pos[0],pos[1],marker=m,color=cmap(thrust))
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fig.colorbar(plt.cm.ScalarMappable(norm=Normalize(0,1),cmap=cmap),
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ax=ax,label="Normalized Thrust [a.u.]")
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ax.set_xlabel("X position [m]")
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ax.set_ylabel("Y position [m]")
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plt.show()

‎lib/matplotlib/lines.py

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self.set_color(color)
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ifmarkerisNone:
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marker='none'# Default.
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self._marker=MarkerStyle(marker,fillstyle)
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ifnotisinstance(marker,MarkerStyle):
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self._marker=MarkerStyle(marker,fillstyle)
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else:
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self._marker=marker
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self._markevery=None
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self._markersize=None

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