[Python] Matplotlib

#-*-Coding:utf-8-*-import unittestclass TestClass1 (unittest. TestCase): @unittest. Skip ("Core.ok") def test_tuple (self): data = (11,22,33) print (data) x, Y, Z = Data print (x, y, z) @unittest. Skip ("Matplotlib.screen") def Test_scrap_screen (self): from PIL import I        Mage, Imagegrab import NumPy as NP from matplotlib import Pyplot as Plt sim = Imagegrab.grab ()        W,h = Sim.size del (SIM) dpi = plt.rcparams[' figure.dpi '] print ("Screen size:%d,%d"% (w, h))         Print ("screen inch:%2.2f,%2.2f"% (w/dpi, h/dpi)) DJX = np.sqrt (w*w + h*h) print ("Screen DJX =%d"% DJX) Print ("screen dpi =%f"% (djx/15.4)) print ("Screen size=%d,%d"% (w/221, h/221)) # @unittest. Skip ("xx        Xyyyxxxyyyyy ") def Test_full_screen (self): from matplotlib import Pyplot as plt from PIL import Image Img_name = "/users/jacobzhao/downloads/sunyunzhu1.jpeg" img = Image.opeN (img_name) print ("dip =%d"% plt.rcparams[' figure.dpi ') plt.figure () Plt.axis (' off ') ax = P        LT.GCA () ax.spines[' top '].set_visible (False) leg = Plt.legend () leg.get_frame (). Set_linewidth (0.0) Plt.subplots_adjust (hspace=0, wspace=0) plt.imshow (IMG) plt.show () if __name__ = = ' __main__ ': unittes T.main () # suite = UnitTest. TestSuite () # suite.addtest (TestClass1 (' Test_scrap_screen ')) # runner = UnitTest. Texttestresult () # Runner.run (Suite)

　　

#-*-Coding:utf-8-*-from functools import reduceimport numpy as Npimport matplotlib.pyplot as Pltfrom PIL import Imagec Lass MyImage (object): Def __init__ (self, filepath): Self.filepath = FilePath self.imgfile = Image.open (fi Lepath) if self.imgfile.mode! = ' RGB ': Self.imgfile = Self.imgfile.convert ("RGB") Self.imgdata =        Np.array (self.imgfile) self.info = {"mode": Self.imgfile.mode, "shape": self.imgdata.shape } def showimg (self, title= ' No-title '): Plt.figure (title) plt.imshow (self.imgdata) plt.axis (' O FF ') plt.show () def printinfo (self): print (Self.info) class MyImage2 (object): Def __init__ (self, Filepa Th1, filepath2): self.filepath1 = filepath1 Self.filepath2 = filepath2 self.imgfile1 = Image.open (fil epath1) Self.imgfile2 = Image.open (filepath2) if self.imgfile1.mode! = ' RGB ': self.imgfile1 = sel F.imgfile1.convert ("RGB"If self.imgfile2.mode! = ' RGB ': Self.imgfile2 = Self.imgfile2.convert ("RGB") Self.imgdata1 = NP . Array (self.imgfile1) Self.imgdata2 = Np.array (self.imgfile2) self.info1 = {"mode": Self.imgfile            1.mode, "Shape": self.imgdata1.shape} Self.info2 = {"mode": Self.imgfile2.mode, "Shape": Self.imgdata2.shape} def showimg (self, title1= ' Image-1 ', title2= ' Image-2 '): Fig = Plt.figu Re (figsize= (5)) Ax1 = Fig.add_subplot (1, 2, 1) ax1.imshow (self.imgdata1) ax1.axis (' off ') p Lt.title (title1) ax2 = Fig.add_subplot (1, 2, 2) ax2.imshow (SELF.IMGDATA2) ax2.axis (' off ') plt.        Title (title2) # plt.suptitle ("Image-test") plt.show () def printinfo (self): print (SELF.INFO1) Print (Self.info2) class Myimagen (object): Def __init__ (self, filepaths): Self.size = Len (filepaths) POS = List (range (self.size))        Self.filepaths = filepaths Self.imgfiles = [] Self.imgdatas = [] Self.imginfos = [] fo R index, filepath in Zip (POS, filepaths): info={' title ': ' img-' +str (Index)} self.imgfiles.append (Imag E.open (Filepaths[index]) info[' mode ' = Self.imgfiles[index].mode if self.imgfiles[index].mode! = ' RGB ': self.imgfiles[index] = Self.imgfiles[index].convert (' RGB ') self.imgdatas.append (Np.array (s Elf.imgfiles[index]) info[' shape ' = self.imgdatas[index].shape self.imginfos.append (info) def s            Howimg (self, titles = None): Fig = plt.figure (figsize= (4*self.size, 4)) for index in range (self.size):            Ax = Fig.add_subplot (1, self.size, index + 1) ax.imshow (Self.imgdatas[index]) ax.axis (' off ')        Plt.title ("image-" +str (Index)) # Plt.suptitle ("Image-test") plt.show () def printinfos (self): For index in range (Self.size): Print (index+1, '-a ', Self.imginfos[index]) def processimage (self, Index, func): Curr_d ATA = Self.imgdatas[index] Self.imgdatas[index] = func (Self.imgfiles[index]) def picgray (imgfile): Return imgfile . Convert (' L ') if __name__ = = ' __main__ ': Syz = [R '/users/jacobzhao/downloads/sunyunzhu1.jpeg ', R '/users/j Acobzhao/downloads/sunyunzhu2.png ", # r"/users/jacobzhao/downloads/sunyunzhu3.png ",] # myimage (syz[0]). ShowI    MG () # myimage (Syz[1]). showimg () Syzimgs = Myimagen (syz) # syzimgs.showimg () syzimgs.processimage (0, Picgray) Syzimgs.processimage (1, Picgray) # syzimgs.processimage (2, Picgray) Syzimgs.printinfos () syzimgs.showimg ()

　　

#-*-Coding:utf-8-*-import Matplotlib.pyplot as Pltimport numpy as Npfig = Plt.figure (figsize= (8, 4)) Ax1 = FIG.ADD_SUBP Lot (2,2,1) ax2 = Fig.add_subplot (2,2,2) ax3 = Fig.add_subplot (2,1,2) Ax3.plot (Np.random.randn (). Cumsum (), ' k--') Ax1.hist (NP.RANDOM.RANDN (+), bins=10, color= ' B ', alpha=0.3) Ax2.scatter (Np.arange (+), Np.arange (30) + * NP.RANDOM.RANDN (+)) plt.show () a = [x+11 for x in range (6)]b = [y+101 for y in range (6)]print (A, b) for m,n in Zip (b): 
   
    print (M, n) Print (list (range (8)))
   

　　

[Python] Matplotlib