boxplot(box_2,positions =[2],patch_artist = True,widths=0.4,vert=False, boxprops={'color':'black','facecolor':'darkgray','lw':0.7}, medianprops={'color':'black'}, capprops={'color':'black','lw':.9}, whiskerprops={'color':'black','lw':0.9}, flierprops={'lw':.8,'alpha...
'lightgreen','lightpink','lightyellow','lightcoral']bp=ax.boxplot(data,patch_artist=True)forpatch,colorinzip(bp['boxes'],box_colors):patch.set_facecolor(color)ax.set_title('Customized Box Colors - how2matplotlib.com')ax.set_xlabel('Groups')ax.set_ylabel('Values')plt.show()...
6))box_plot=plt.boxplot(data,patch_artist=True)# 自定义颜色和样式plt.setp(box_plot['boxes'],facecolor='lightblue',edgecolor='blue')plt.setp(box_plot['whiskers'],color='gray',linestyle='--')plt.setp(box_plot['caps'],color='gray')plt.set...
set_title('图1') box_dict = ax2.boxplot(muti_data, labels=['第1组', '第2组', '第3组'], patch_artist=True) # 注意,patch_artist一定要设置为True,下面的设置才会生效 box_dict.get('boxes')[0].set_color('red') # 箱体边框颜色 box_dict.get('boxes')[1].set_color('blue') box...
patch.set(facecolor=color) # 设置箱子两端线的属性 for whisker in box_plot['whiskers']: whisker.set(color='purple', linewidth=2) # 设置顶端和末端线条的属性 for cap in box_plot['caps']: cap.set(color='g', linewidth=3) # 设置中位数的属性 ...
箱型图(Box Plot),也称为盒须图或盒式图,1977年由美国著名统计学家约翰·图基(John Tukey)发明。 是一种用作显示一组数据分布情况的统计图,因型状如箱子而得名。 它能显示出一组数据的最大值、最小值、中位数及上下四分位数。 箱子的顶端和底端,分别代表上下四分位数。
(boxplot['boxes'], colors): box.set(color=color) # 设置箱体颜色 # 对每个数据集的均值点进行设置 for mean, markerfacecolor in zip(boxplot['means'], markerfacecolors): mean.set(marker='D', markerfacecolor= markerfacecolor, markersize=8, markeredgecolor='black') # 设置均值点属性 plt.show(...
f=df.boxplot(sym='r*',patch_artist=True) for box in f['boxes']: # 箱体边框颜色 box.set( color='#7570b3', linewidth=2) # 箱体内部填充颜色 box.set( facecolor = '#1b9e77' ) for whisker in f['whiskers']: whisker.set(color='r', linewidth=2) ...
medianprops=dict(color=c), ) # option 2, set all colors individually c2 = "purple" box1 = plt.boxplot(data[:,::-2]+1, positions=[1.5,2.5,3.5], notch=True, patch_artist=True) for item in ['boxes', 'whiskers', 'fliers', 'medians', 'caps']: ...
box = plt.boxplot(x=[np.random.normal(size=500), np.random.normal(size=1000)], patch_artist=True, labels=['sampleA', 'sampleB']) colors = ['lightblue', 'lightgreen'] for patch, color in zip(box['boxes'], colors): patch.set_color(color) ...