1.首先要繪制一個簡單的條形圖
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import numpy as npimport matplotlib.pyplot as pltfrom matplotlib import mlabfrom matplotlib import rcParamsfig1 = plt.figure(2)rects =plt.bar(left = (0.2,1),height = (1,0.5),width = 0.2,align="center",yerr=0.000001)plt.title('Pe')plt.show() |
1.1上面中rects=plt.bar(left=(0.2,1),height=(1,0.5),width=0.2,align=”center”,yerr=0.000001)這句代碼是最重要的，其中left表示直方圖的開始的位置（也就是最左邊的地方），height是指直方圖的高度，當直方圖太粗時，可以通過width來定義直方圖的寬度，注意多個直方圖要用元組，yerr這個參數是防止直方圖觸頂。
2.增加直方圖腳注
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import numpy as npimport matplotlib.pyplot as pltfrom matplotlib import mlabfrom matplotlib import rcParamsfig1 = plt.figure(2)rects =plt.bar(left = (0.2,1),height = (1,0.5),width = 0.2,align="center",yerr=0.000001)plt.title('Pe')plt.xticks((0.2,1),('frst','second'))plt.show() |
3.條形圖上顯示具體的數字（自動編號）
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import numpy as npimport matplotlib.pyplot as pltfrom matplotlib import mlabfrom matplotlib import rcParamsfig1 = plt.figure(2)rects =plt.bar(left = (0.2,1),height = (1,0.5),width = 0.2,align="center",yerr=0.000001)plt.title('Pe')def autolabel(rects): for rect in rects: height = rect.get_height() plt.text(rect.get_x()+rect.get_width()/2., 1.03*height, '%s' % float(height))autolabel(rects)plt.xticks((0.2,1),('frst','second'))plt.show() |
4.改變顏色
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import numpy as npimport matplotlib.pyplot as pltfrom matplotlib import mlabfrom matplotlib import rcParamsfig1 = plt.figure(2)rects =plt.bar(left = (0.2,1),height = (1,0.5),color=('r','g'),width = 0.2,align="center",yerr=0.000001)plt.title('Pe')def autolabel(rects): for rect in rects: height = rect.get_height() plt.text(rect.get_x()+rect.get_width()/2., 1.03*height, '%s' % float(height))autolabel(rects)plt.xticks((0.2,1),('frst','second'))plt.show() |
5.添加圖注
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import numpy as npimport matplotlib.pyplot as pltfrom matplotlib import mlabfrom matplotlib import rcParamsfig1 = plt.figure(2)rects1 =plt.bar(left = (0.2),height = (0.5),color=('g'),label=(('no1')),width = 0.2,align="center",yerr=0.000001)rects2 =plt.bar(left = (1),height = (1),color=('r'),label=(('no2')),width = 0.2,align="center",yerr=0.000001)plt.legend()plt.xticks((0.2,1),('frst','second'))plt.title('Pe')def autolabel(rects): for rect in rects: height = rect.get_height() plt.text(rect.get_x()+rect.get_width()/2., 1.03*height, '%s' % float(height))autolabel(rects1)autolabel(rects2)plt.show() |
6大家根據自己的需要自己來繪制自己的條形圖
下面回答網友提問，如何畫在條形圖上垂直顯示數據：
下面這個函數是用來垂直顯示的，其中設置角度就可以以任意方式來顯示。
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def autolabel(rects,Num=1.12,rotation1=90,NN=1): for rect in rects: height = rect.get_height() plt.text(rect.get_x()-0.04+rect.get_width()/2., Num*height, '%s' % float(height*NN),rotation=rotation1) |
調用方式如下
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rects1 =plt.bar(left = (0.05),height = (Pe_FH),color=('b'),label=('FHMM'),width = 0.1,align="center",yerr=0.000001);autolabel(rects1,1.09); |
下面是效果圖
總結
以上就是本文關于python繪制條形圖方法代碼詳解的全部內容，希望對大家有所幫助。如有不足之處，歡迎留言指出。感謝朋友們對本站的支持！
原文鏈接：http://blog.csdn.net/yywan1314520/article/details/50818471
