Python Financial Data Visualization (two-column data extraction//painting///dual-axis//dual-Graph//two different graphs)

ImportMatplotlib as MplImportNumPy as NPImportMatplotlib.pyplot as Pltnp.random.seed (2000) y= Np.random.standard_normal ((20,2))#print (y)" " Different summation print (Y.cumsum ()) Print (Y.sum (axis=0)) print (Y.cumsum (axis=0) )" "#DrawingPlt.figure (figsize= (7,4)) Plt.plot (y.cumsum (axis=0), linewidth=2.5) Plt.plot (y.cumsum (axis=0),'Bo') Plt.grid (True) Plt.axis ("Tight") Plt.xlabel ('Index') Plt.ylabel ('Values') Plt.title ('a simple plot')
Plt.show ()

2. The following extracts two sets of data, to draw.

ImportMatplotlib as MplImportNumPy as NPImportMatplotlib.pyplot as Pltnp.random.seed (2000) Date= Np.random.standard_normal ((20,2)) Y= Date.cumsum (axis=0)Print(y)#the difference between the following two casesPrint(Y[1])# data obtained is line 1th [ -0.37003581 1.74900181]Print(y[:,0])# obtained is the 1th column of data [1.73673761-0.37003581 0.21302575 0.35026529 ...#DrawingPlt.plot (y[:,0], lw=2.5,label="1st", color='Blue') Plt.plot (y[:, 1], lw=2.5,label="2st", color='Red') Plt.plot (y,'ro')#Add DetailsPlt.title ("A Simple Plot", size=20,color='Red') Plt.xlabel ('Index', size=20) Plt.ylabel ('Values', size=20)#Plt.axis (' tight ')Plt.xlim ( -1,21) Plt.ylim (np.min (y)-1,np.max (y) +1)#Add legendPlt.legend (loc= 0)plt.show ()

3. Double axes.

ImportMatplotlib as MplImportNumPy as NPImportMatplotlib.pyplot as Pltnp.random.seed (2000) Date= Np.random.standard_normal ((20,2)) Y= Date.cumsum (axis=0) y[:,0]=y[:,0]*100fig,ax1 = plt.subplots ()Plt.plot (y[:,0],'b',label= "1st") Plt.plot (y[:,0],'ro') Plt.grid (True) Plt.axis ('Tight') Plt.xlabel ("Index") Plt.ylabel ('Values of 1st') Plt.title ("This is a double axis label")plt.legend (Loc = 0) ax2 = Ax1.twinx ()Plt.plot (y[:,1],'g', label="2st") Plt.plot (y[:,1],'r*') Plt.ylabel ("Values of 2st")plt.legend (Loc = 0)plt.show ()

4. Divided into two graphic paintings.

ImportMatplotlib as MplImportNumPy as NPImportMatplotlib.pyplot as Pltnp.random.seed (2000) Date= Np.random.standard_normal ((20,2)) Y= Date.cumsum (axis=0) y[:,0]=y[:,0]*100plt.figure (figsize= (7,5))      #Determine picture sizePlt.subplot (211)               #determine the position of the first diagram (row, column, number of) two rows, one column, the first figure.Plt.plot (y[:,0],'b', label="1st") Plt.plot (y[:,0],'ro') Plt.grid (True) Plt.axis ('Tight') Plt.xlabel ("Index") Plt.ylabel ('Values of 1st') Plt.title ("This is a double axis label") plt.legend (Loc=0) Plt.subplot ( 212)            #determine the position of the first diagramPlt.plot (y[:,1],'g', label="2st") Plt.plot (y[:,1],'r*') Plt.ylabel ("Values of 2st") plt.legend (Loc=0) plt.show ()

5. Draw two different graphs in two layers (straight-line cubic chart)

ImportMatplotlib as MplImportNumPy as NPImportMatplotlib.pyplot as Pltnp.random.seed (2000) Date= Np.random.standard_normal ((20,2)) Y= Date.cumsum (axis=0) y[:,0]=y[:,0]*100plt.figure (figsize= (7,5))#Determine picture sizePlt.subplot (121)#determine the position of the first diagramPlt.plot (y[:,0],'b', label="1st") Plt.plot (y[:,0],'ro') Plt.grid (True) Plt.axis ('Tight') Plt.xlabel ("Index") Plt.ylabel ('Values', size=20) Plt.title ("1st date Set") plt.legend (Loc=0) Plt.subplot (122)#determine the position of the first diagramPlt.bar (Np.arange (len (y[:,1)), y[:,1],width = 0.5,color='g', label="2nd") # The histogram is descriptive Plt.grid (True) Plt.xlabel ("Index") Plt.title ('2nd date Set') plt.legend (Loc=0) plt.show ()

Python Financial Data Visualization (two-column data extraction//painting///dual-axis//dual-Graph//two different graphs)