matplotlib 实战案例详解
案例一
frommatplotlib.patches import Polygon
deffunc(x):
return -(x-2)*(x-8)+40
x=np.linspace(0,10)
y=func(x)
fig,ax=plt.subplots()
plt.plot(x,y,"r",linewidth = 2)
a=2
b=9
ax.set_xticks([a,b])
ax.set_yticks([])
ax.set_xticklabels([r'$a$',r"$b$"])
ix=np.linspace(a,b)
iy=func(ix)
ixy=zip(ix,iy)
verts =[(a,0)]+list(ixy)+[(b,0)]
poly =Polygon(verts,facecolor='0.9',edgecolor='0.1')
ax.add_patch(poly)
plt.figtext(0.9,0.05,"$x$")
plt.figtext(0.1,0.9,"$y$")
x_match=(a+b)*0.4
y_match =35
plt.text(x_match,y_match,r"$\int_a^b(-x)dx$", fontsize =20,horizontalalignment='center')
plt.show()
案例2
importnumpy as np
importmatplotlib.pyplot as plt
plt.style.use('ggplot')
x=np.random.randn(200)
y=x+np.random.randn(200)*0.5
margin_border =0.1
height =0.2
margin_between = 0.02
width =0.6
left_s=margin_border
bottom_s=margin_border
height_s=width
width_s=width
left_x=margin_border
bottom_x=margin_border+width+margin_between
height_x=height
width_x = width
left_y= margin_border+width+margin_between
bottom_y = margin_border
height_y = width
width_y = height
plt.figure(1,figsize=(8,8))
rect_s= [left_s,bottom_s, width_s,height_s]
rect_x= [left_x,bottom_x, width_x,height_x]
rect_y= [left_y,bottom_y, width_y,height_y]
axScatter= plt.axes(rect_s)
axHisX = plt.axes(rect_x)
axHisY = plt.axes(rect_y)
plt.show()
importnumpy as np
importmatplotlib.pyplot as plt
plt.style.use('ggplot')
x=np.random.randn(200)
y=x+np.random.randn(200)*0.5
margin_border =0.1
height =0.2
margin_between = 0.02
width =0.6
left_s=margin_border
bottom_s=margin_border
height_s=width
width_s=width
left_x=margin_border
bottom_x=margin_border+width+margin_between
height_x=height
width_x = width
left_y= margin_border+width+margin_between
bottom_y = margin_border
height_y = width
width_y = height
plt.figure(1,figsize=(8,8))
rect_s= [left_s,bottom_s, width_s,height_s]
rect_x= [left_x,bottom_x, width_x,height_x]
rect_y= [left_y,bottom_y, width_y,height_y]
axScatter= plt.axes(rect_s )
axHisX = plt.axes(rect_x)
axHisY = plt.axes(rect_y)
axHisX.set_xticks([])
axHisY.set_yticks([])
axScatter.scatter(x,y)
bin_width =0.25
xymax=np.max([np.max(np.fabs(x)),np.max(np.fabs(y))])
lim =int(xymax/bin_width+1)*bin_width
axScatter.set_xlim(-lim,lim)
axScatter.set_ylim(-lim,lim)
bins=np.arange(-lim,lim+bin_width,bin_width)
axHisX.hist(x,bins=bins)
axHisY.hist(y,bins=bins,orientation='horizontal')
axHisX.set_xlim(axScatter.get_xlim())
axHisY.set_ylim(axScatter.get_ylim())
plt.title('Scatter and Hist')
plt.show()
案例3
#_8_coding:utf-8 _*_
frommatplotlib.font_manager importFontProperties
font =FontProperties(fname=r'c:\windows\fonts\simsun.ttc',size =12)
plt.style.use('ggplot')
ability_size =6
ability_label=[u'进攻',u'防守',u'盘带',u'速度',u'体力',u'射术']
ax1 = plt.subplot(221,projection="polar")
ax2 = plt.subplot(222,projection="polar")
ax3 = plt.subplot(223,projection="polar")
ax4 = plt.subplot(224,projection="polar")
player={
'M':np.random.randint(size=ability_size, low =60, high =99),
'H':np.random.randint(size=ability_size, low =60, high =99),
'P':np.random.randint(size=ability_size, low =60, high =99),
'Q':np.random.randint(size=ability_size, low =60, high =99),
}
theta=np.linspace(0,2*np.pi,6,endpoint=False)
theta=np.append(theta,theta[0])
player['M']=np.append(player['M'],player['M'][0])
ax1.plot(theta,player['M'],'r')
ax1.fill(theta, player['M'],'r',alpha =0.3)
ax1.set_xticks(theta)
ax1.set_xticklabels(ability_label,y=0.02,fontproperties=font)
ax1.set_title(u'梅西',position=(0.5,0.98),fontproperties = font, color ='r', size = 20 )
ax1.set_yticks([20,40,60,80,100])
plt.show()
案例4 K线图
from matplotlib.finance importcandlestick_ohlc
plt.style.use('ggplot')
volumns=np.array([])
dates=np.array([])
for record in quotes:
dates = np.append(record[0])
volumns=np.append(record[5])
left,width =0.1,0.8
rect_vol = [left,0.1, width,0.26]
rect_main= [left,0.4 width,0.5]
fig = plt.figure()
ax_vol=fig.add_axes(rect_vol)
ax_vol.fill_between(dates,volumns,color='y')
ax_vol.xaxis_date()
plt.setup(ax_vol.getxticklabels(), rotation=30,horizontalaligment ='right')
ax_main= fig,add_axes(rect_main)
candlestick_ohlc(ax_main, quotes, width=0.6, colorup='r', colordown ='g'
ax_main.axes.get_xaxis().set_visiable(False)
ax_main.set_title('STOCK')
plt.show()