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Commit062b5b2

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Merge pull request#21221 from timhoffm/plot-t
Updates to plot types
2 parents1a040b2 +ce8342f commit062b5b2

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6 files changed

+41
-43
lines changed

6 files changed

+41
-43
lines changed

‎doc/sphinxext/gallery_order.py

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@@ -68,12 +68,13 @@ def __call__(self, item):
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# **Plot Types
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# Basic
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"plot","scatter_plot","bar","stem","step","pie","fill_between",
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"plot","scatter_plot","bar","stem","step","fill_between",
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# Arrays
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"imshow","pcolormesh","contour","contourf","quiver","streamplot",
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"imshow","pcolormesh","contour","contourf",
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"barbs","quiver","streamplot",
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# Stats
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"hist_plot","boxplot_plot","errorbar_plot","violin",
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"barbs","eventplot","hist2d","hexbin",
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"eventplot","hist2d","hexbin","pie",
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# Unstructured
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"tricontour","tricontourf","tripcolor","triplot",
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]

‎plot_types/arrays/barbs.py

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@@ -0,0 +1,33 @@
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"""
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================
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barbs(X, Y U, V)
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================
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See `~matplotlib.axes.Axes.barbs`.
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"""
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importmatplotlib.pyplotasplt
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importnumpyasnp
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plt.style.use('_mpl-gallery-nogrid')
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# make data:
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X,Y=np.meshgrid([1,2,3,4], [1,2,3,4])
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angle=np.pi/180*np.array([[15.,30,35,45],
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[25.,40,55,60],
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[35.,50,65,75],
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[45.,60,75,90]])
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amplitude=np.array([[5,10,25,50],
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[10,15,30,60],
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[15,26,50,70],
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[20,45,80,100]])
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U=amplitude*np.sin(angle)
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V=amplitude*np.cos(angle)
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# plot:
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fig,ax=plt.subplots()
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ax.barbs(X,Y,U,V,barbcolor="C0",flagcolor="C0",length=7,linewidth=1.5)
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ax.set(xlim=(0,4.5),ylim=(0,4.5))
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plt.show()

‎plot_types/arrays/imshow.py

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Original file line numberDiff line numberDiff line change
@@ -12,9 +12,8 @@
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plt.style.use('_mpl-gallery-nogrid')
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# make data
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X,Y=np.meshgrid(np.linspace(-3,3,256),np.linspace(-3,3,256))
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X,Y=np.meshgrid(np.linspace(-3,3,16),np.linspace(-3,3,16))
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Z= (1-X/2+X**5+Y**3)*np.exp(-X**2-Y**2)
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Z=Z[::16, ::16]
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# plot
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fig,ax=plt.subplots()

‎plot_types/arrays/pcolormesh.py

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Original file line numberDiff line numberDiff line change
@@ -12,18 +12,11 @@
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plt.style.use('_mpl-gallery-nogrid')
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# make full-res data
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X,Y=np.meshgrid(np.linspace(-3,3,256),np.linspace(-3,3,256))
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# make data with uneven sampling in x
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x= [-3,-2,-1.6,-1.2,-.8,-.5,-.2,.1,.3,.5,.8,1.1,1.5,1.9,2.3,3]
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X,Y=np.meshgrid(x,np.linspace(-3,3,128))
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Z= (1-X/2+X**5+Y**3)*np.exp(-X**2-Y**2)
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# sample unevenly in x:
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dx=np.sqrt((np.arange(16)-8)**2)+6
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dx=np.floor(dx/sum(dx)*255)
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xint=np.cumsum(dx).astype('int')
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X=X[0,xint]
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Y=Y[::8,0]
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Z=Z[::8, :][:,xint]
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# plot
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fig,ax=plt.subplots()
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‎plot_types/stats/barbs.py

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