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Commit1defb57

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timhoffmrcomer
andauthored
Simplify example: Box plots with custom fill colors (#27781)
Simplify example: Box plots with custom fill colorsThe [original example](https://matplotlib.org/3.8.0/gallery/statistics/boxplot_color.html) was more complex than need be:- The two plots only differed in the `notch=True` parameter, which is irrelevant for custom fill colors -> reduce to one- rework to a more realistic-like plot---------Co-authored-by: Ruth Comer <10599679+rcomer@users.noreply.github.com>
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‎galleries/examples/statistics/boxplot_color.py

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Box plots with custom fill colors
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=================================
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This plot illustrates how to create two types of box plots
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(rectangular and notched), and how to fill them with custom
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colors by accessing the properties of the artists of the
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box plots. Additionally, the ``labels`` parameter is used to
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provide x-tick labels for each sample.
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A good general reference on boxplots and their history can be found
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here: http://vita.had.co.nz/papers/boxplots.pdf
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To color each box of a box plot individually:
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1) use the keyword argument ``patch_artist=True`` to create filled boxes.
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2) loop through the created boxes and adapt their color.
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"""
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importmatplotlib.pyplotasplt
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importnumpyasnp
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# Random test data
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np.random.seed(19680801)
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all_data= [np.random.normal(0,std,size=100)forstdinrange(1,4)]
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labels= ['x1','x2','x3']
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fig, (ax1,ax2)=plt.subplots(nrows=1,ncols=2,figsize=(9,4))
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# rectangular box plot
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bplot1=ax1.boxplot(all_data,
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vert=True,# vertical box alignment
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patch_artist=True,# fill with color
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labels=labels)# will be used to label x-ticks
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ax1.set_title('Rectangular box plot')
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# notch shape box plot
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bplot2=ax2.boxplot(all_data,
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notch=True,# notch shape
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vert=True,# vertical box alignment
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patch_artist=True,# fill with color
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labels=labels)# will be used to label x-ticks
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ax2.set_title('Notched box plot')
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fruit_weights= [
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np.random.normal(130,10,size=100),
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np.random.normal(125,20,size=100),
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np.random.normal(120,30,size=100),
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]
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labels= ['peaches','oranges','tomatoes']
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colors= ['peachpuff','orange','tomato']
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fig,ax=plt.subplots()
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ax.set_ylabel('fruit weight (g)')
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bplot=ax.boxplot(fruit_weights,
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patch_artist=True,# fill with color
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labels=labels)# will be used to label x-ticks
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# fill with colors
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colors= ['pink','lightblue','lightgreen']
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forbplotin (bplot1,bplot2):
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forpatch,colorinzip(bplot['boxes'],colors):
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patch.set_facecolor(color)
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# adding horizontal grid lines
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foraxin [ax1,ax2]:
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ax.yaxis.grid(True)
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ax.set_xlabel('Three separate samples')
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ax.set_ylabel('Observed values')
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forpatch,colorinzip(bplot['boxes'],colors):
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patch.set_facecolor(color)
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plt.show()
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