概述
Two horizontal bar charts with shared axis in ggplot2 (similar to population pyramid)
如何用Python创建类似的情节?
上面问题的情节如下:
以下是上图中使用的状态列表(y轴):
["AK","TX","CA","MT","NM","AZ","NV","CO","OR","WY","MI","MN","UT","ID","KS","NE","SD","WA","ND","OK"]
以下是每个州的销售人员数量列表:
[20,30,40,10,15,35,18,25,22,7,12,3,4,5,8,14,28,24,32]
销售数字可以是随机的.
例如:
import matplotlib.pyplot as plt y = range(20) x1 = range(20) x2 = range(0,200,10) fig,axes = plt.subplots(ncols=2,sharey=True) axes[0].barh(y,x1,align='center',color='gray') axes[1].barh(y,x2,color='gray') axes[0].invert_xaxis() plt.show()
如果你想更精确地重现你链接到的问题中显示的例子(我将离开灰色背景和白色网格,但如果你喜欢它们,那么很容易添加):
import numpy as np import matplotlib.pyplot as plt # Data states = ["AK","OK"] staff = np.array([20,32]) sales = staff * (20 + 10 * np.random.random(staff.size)) # Sort by number of sales staff idx = staff.argsort() states,staff,sales = [np.take(x,idx) for x in [states,sales]] y = np.arange(sales.size) fig,color='gray',zorder=10) axes[0].set(title='Number of sales staff') axes[1].barh(y,sales,zorder=10) axes[1].set(title='Sales (x $1000)') axes[0].invert_xaxis() axes[0].set(yticks=y,yticklabels=states) axes[0].yaxis.tick_right() for ax in axes.flat: ax.margins(0.03) ax.grid(True) fig.tight_layout() fig.subplots_adjust(wspace=0.09) plt.show()
一个警告.我没有真正正确对齐y-tick-labels.有可能做到这一点,但它比你想象的更痛苦.因此,如果你真的想要y-tick-labels总是完美地居中于图的中间,那么最简单的方法是以不同的方式绘制它们.而不是axis [0] .set(yticks = y,yticklabels = states),你会做类似的事情:
axes[0].set(yticks=y,yticklabels=[]) for yloc,state in zip(y,states): axes[0].annotate(state,(0.5,yloc),xycoords=('figure fraction','data'),ha='center',va='center')
总结
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