python画条形统计图_python基础绘图-统计图

bar()柱形图

import matplotlib as mpl

import matplotlib.pyplot as plt

import numpy as np

mpl.rcParams['axes.unicode_minus']=False

x = list(range(1,11))

y = np.random.randn(10)

plt.bar(x,y,align='center',color='c',tick_label= [chr(i) for i in range(65, 75)])

plt.xlabel('sample no')

plt.ylabel('value')

plt.show()

python基本绘图-统计图

barh()条形图

x = [chr(i) for i in range(65, 75)]

y = [round(abs(i)*10) for i in np.random.randn(10)]

plt.barh(x,y,align='center',color='c')

plt.show()

python基本绘图-统计图

hist()直方分布图

x = np.random.randint(0,10,100)

bins = range(0,11)

plt.hist(x,bins=bins,color='y',histtype='bar',rwidth=1)

plt.show()

python基本绘图-统计图

pie()饼图|

kinds = [chr(i) for i in range(65,75)]

soldNums = [i for i in np.random.randint(0,30,10)]

plt.pie(sorted(soldNums),labels=kinds,autopct='%3.2f%%',startangle=45)

plt.show()

python基本绘图-统计图

polar()雷达图

barSlices = 15

theta = np.linspace(0,2*np.pi,barSlices,endpoint=False)

r = 30*np.random.rand(barSlices)

plt.polar(theta,r,color='chartreuse',linewidth=2,marker='.',mfc='b',ms=10)

plt.show()

python基本绘图-统计图

scater()气泡图

x = np.random.randn(100)

y = np.random.randn(100)

plt.scatter(x,y,s=np.power(5*x+7*y,2),c=np.random.rand(100),cmap=mpl.cm.RdYlBu,marker='o')

plt.show()

python基本绘图-统计图

stem()棉棒图

x = np.linspace(.1,2*np.pi,30)

y = np.random.randn(30)

plt.stem(x,y,linefmt='-.',markerfmt='.',basefmt='-')

plt.show()

python基本绘图-统计图

boxplot()箱线图

x = np.random.randn(1000)

plt.boxplot(x)

plt.xticks([1],['random iter'])

plt.ylabel('random number')

plt.title('randomiter capacity of resisting disturbarice')

plt.grid(axis='y',ls=':',lw=2,color='gray',alpha=.5)

plt.show()

python基本绘图-统计图

errorbar()误差棒图

x = np.linspace(.01,.7,10)

y = np.exp(x)

plt.errorbar(x,y,fmt='bo:',yerr=.2,xerr=.02)

plt.show()

python基本绘图-统计图