根据x值的数量增加matplotlib中图形的宽度

mar*_*n72 4 python matplotlib width figure

我试图绘制一个barchart使用matplotlib.要绘制的项目数量可能会有所不同.我不能设置figure.set_size_inches(w,h)set_figwidth(w)使用常量(如6.,8.或8.,12等),因为我无法预先知道w或h的值应该是什么width of figure to increase as the number of items to be plotted increases.我想要.可以有人告诉我我怎么做做这个?

import pylab

def create_barchart(map):
    xvaluenames = map.keys()
    xvaluenames.sort()
    yvalues = map.values()
    max_yvalue = get_max_yvalue(yvalues)
    xdata = range(len(xvaluenames))
    ydata = [map[x] for x in xvaluenames]
    splitxdata = [x.split('-',1) for x in xvaluenames]
    xlabels = [x[0] for x in splitxdata]
    figure = pylab.figure()
    ax = figure.add_subplot(1,1,1)
    figsize = figure.get_size_inches()
    print 'figure size1=',figsize,'width=',figsize[0],'height=',figsize[1]
    barwidth = .25
    ystep =  max_yvalue/5
    pylab.grid(True)
    if xdata and ydata:
        ax.bar(xdata, ydata, width=barwidth,align='center',color='orange')
        ax.set_xlabel('xvalues',color='green')
        ax.set_ylabel('yvalues',color='green')
        ax.set_xticks(xdata)
        ax.set_xlim([min(xdata) - 0.5, max(xdata) + 0.5])
        ax.set_xticklabels(xlabels)
        ax.set_yticks(range(0,max_yvalue+ystep,ystep))
        ax.set_ylim(0,max(ydata)+ystep)
    figure.autofmt_xdate(rotation=30)
    figure.savefig('mybarplot',format="png")
    print 'figure size2=',figure.get_size_inches()
    pylab.show()

def get_max_yvalue(yvals):
    return max(yvals) if yvals else 0
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如果我尝试使用一小部分物品,我会得到

if __name__=='__main__':
    datamap = dict(mark=39,jim=40, simon=20,dan=33)    
    print datamap
    create_barchart(datamap)
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小集的情节

但如果我使用更大的一套

datamap = dict(mark=39,jim=40, simon=20,dan=33) 
additional_values= dict(jon=34,ray=23,bert=45,kevin=35,ned=31,bran=11,tywin=56,tyrion=30,jaime=36,griffin=25,viserys=25)
datamap.update(additional_values)  
create_barchart(datamap)
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一组较大的情节

这看起来很糟糕,我想知道是否有办法增加数字的宽度,根据要绘制的项目数量,保持两个案例中的条形宽度相同

Yan*_*ann 5

初始化图形时可以设置宽度:

# default scale is 1 in your original case, scales with other cases:
widthscale = len(yvalues)/4 
figsize = (8*widthscale,6) # fig size in inches (width,height)
figure = pylab.figure(figsize = figsize) # set the figsize
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figure = pylab.figure()上面的三行替换这行,你得到了你的要求.