风抚弄着庄稼,时而把它吹弯,时而把它扬起,仿佛大地在进行有节奏的呼吸,那一档档成熟的小麦也都有了生命,风从那边来,传来麦穗与麦穗间的细语。
1.首先要绘制一个简单的条形图
import numpy as np import matplotlib.pyplot as plt from matplotlib import mlab from matplotlib import rcParams fig1 = 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)这句代码是最重要的,其中left表示直方图的开始的位置(也就是最左边的地方),height是指直方图的高度,当直方图太粗时,可以通过width来定义直方图的宽度,注意多个直方图要用元组,yerr这个参数是防止直方图触顶。
2.增加直方图脚注
import numpy as np import matplotlib.pyplot as plt from matplotlib import mlab from matplotlib import rcParams fig1 = 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.条形图上显示具体的数字(自动编号)
import numpy as np import matplotlib.pyplot as plt from matplotlib import mlab from matplotlib import rcParams fig1 = 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.改变颜色
import numpy as np import matplotlib.pyplot as plt from matplotlib import mlab from matplotlib import rcParams fig1 = 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.添加图注
import numpy as np import matplotlib.pyplot as plt from matplotlib import mlab from matplotlib import rcParams fig1 = 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大家根据自己的需要自己来绘制自己的条形图
下面回答网友提问,如何画在条形图上垂直显示数据:
下面这个函数是用来垂直显示的,其中设置角度就可以以任意方式来显示。
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)
调用方式如下
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);
下面是效果图
总结
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