正弦图
import matplotlib.pyplot as pyplot
import numpy as np
x=np.linspace(5,18,109)
y=np.sin(x)
pyplot.plot(x,y,linestyle="-",linewidth=1,label="line chart")
pyplot.legend()
pyplot.show()
折线图
import matplotlib.pyplot as plt
import numpy as np
a=np.random.random((9,3))*2
y1=a[0:,1]
y2=a[0:,2]
x=np.arange(1,10)
ax = plt.subplot(111)
width=20
hight=10
ax.axes.set_xlim(-1,width+0.3)
ax.axes.set_ylim(-1,hight+0.3)
plotdict = { 'dx': x, 'dy': y1 }
ax.plot('dx','dy','bD-',data=plotdict)
ax.plot(x,y2,'r^-')
plt.show()
柱形图
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
mpl.rcParams['font.sans-serif']=['SimHei']
x = ['3', '6', '7', '10']
y = [5, 6, 7, 10]
plt.bar(x, y, alpha=0.5, width=0.3, color='BLUE', edgecolor='magenta', label='column diagram', lw=3)
plt.legend(loc='upper left')
plt.xticks(np.arange(4), ('A','B', 'C', 'D'), rotation=30)
plt.yticks(np.arange(0, 10, 1))
plt.ylabel('盈利情况', fontsize=10)
plt.xlabel('公司', fontsize=10)
plt.title('各分公司盈利情况', fontsize=10)
plt.tick_params(axis='both', labelsize=15)
plt.show()
条形图
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(4)
y = [11,13,12,10]
y1 = [2,3,4,8]
y2 = [4,10,1,5]
width=0.4
tkb= ["1","2","3","4"]
plt.barh(x,y,width,align="center",color="c",label="parent company",alpha=1)
plt.barh(x+width,y1,width,align="center",color="y",label="subsidiary corporation",alpha=1)
plt.barh(x-width, y2, width, align="center", color="b",label="outsourcing company",alpha=1)
plt.yticks(x+width/3,tkb)
plt.legend()
plt.show()
绘制直方图
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
ro = 100
roll = 15
x = ro + roll * np.random.randn(10000)
n, bins, patches = plt.hist(x, 100, stacked=True, facecolor='blue', alpha=1)
plt.show()
堆积直方图
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
x1=np.random.randint(0,100,100)
x2 =np.random.randint(0, 100,100)
x = [x1,x2]
colors = ["#778899",'#708090']
label=["A","B"]
bins = range(0,101,10)
plt.hist(x,bins=bins,color=colors,histtype="bar",rwidth=20,stacked=True,label=label,edgecolor ='y')
plt.show()
饼图
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei']
yu=["财务部","IT部门","业务部","后勤部","管理部"]
num=[0.15,0.15,0.25,0.15,0.30]
cl=["#FF7F50","#FF8C00","#D2B48C","#F5DEB3","#FFE4B5"]
ex = [0.1,0.1,0.1,0.1,0.1]
plt.pie(num,explode=ex,labels=yu,autopct="%8.1f%%",startangle=50,shadow=True,colors=cl)
plt.title("年终各部门年终奖发放比例")
plt.show()
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