View difference between Paste ID: LAEA7SfZ and Faj1ZAHz

 import torch
 from torch import nn
-x=np.linspace(0,3,200)
+from IPython.display import clear_output
-Y=100*x
+
-y=(x<2)*(-(2-x)**2)*100/4+100
+
-y2=np.ones_like(x)*100
+import math
-img=plt.figure(figsize=(5,3.5))
+from math import pi
-xlim=(0,3)
+sampleX=torch.linspace(0,13,14)
-ylim=(0,140)
+sampleY=torch.zeros_like(sampleX)
-origin=(0,0)
+for i in range(14):
     if(int(sampleX[i])%2==0):sampleY[i]=0.3
     else:sampleY[i]=0.5
     if(9<=sampleX[i] or sampleX[i]<0):
         sampleY[i]*=0.9
         sampleY[i]+=0.2
 sampleY*=100
 testX=sampleX
 testY=sampleY
 img=plt.figure(figsize=(6.5,3))
-plt.annotate(s="",xy=(xlim[1]+0.0005*(xlim[1]-origin[0]),origin[0]),xycoords="data",xytext=(-0.0001,0),textcoords="offset points",fontsize=12,
+xlim=(0,14)
 ylim=(20,70)
-plt.annotate(s="",xy=(origin[1],ylim[1]+0.0005*(ylim[1]-origin[1])),xycoords="data",xytext=(0,-0.0001),textcoords="offset points",fontsize=12,
+origin=(0,20)
 plt.xlim(xlim)
-ax.text(x=origin[0]+0.01*(xlim[1]-origin[0]),y=ylim[1]-0.01*(ylim[1]-origin[1]),s=r"$\alpha ($%$)$",fontsize=13)
+
-ax.text(y=origin[1]+0.03*(ylim[1]-origin[1]),x=xlim[1],s=r"$\frac{N'}{n}$",fontsize=17)
+
-plt.plot(x,y2,linestyle="--",color="black",linewidth=0.5)
+
-plt.plot([1,1],[0,100],linestyle="--",color="black",linewidth=0.5)
+
-plt.plot(x,Y,label="Consumer demand",linewidth=1.5)
+
-plt.plot(x,y,label="Socket usage",linewidth=1.5)
+
-plt.legend(loc="lower right")
+
-plt.annotate("Saturation of usage",xy=(2,100),xycoords="data",xytext=(0,-60),textcoords="offset points",fontsize=12,
+
-            arrowprops=dict(arrowstyle='->',connectionstyle='arc3,rad=.2'))
+x=np.linspace(0,13,14)+0.5
-x=1.2
+ticks=[]
-y=(x<2)*(-(2-x)**2)*100/4+100
+for i in range(14):
-Y=100*x
+    ticks.append(["Mon","Tue","Wed","Thu","Fri","Sat","Sun"][int(i/2)])
     if(i%2==0):ticks[i]+="\nMorn"
     else:ticks[i]+="\nEve"
 plt.xticks(x,ticks,fontsize=12)
 plt.annotate(s="",xy=(xlim[1]+0.0005*(xlim[1]-xlim[0]),origin[1]),xycoords="data",xytext=(-0.0001,0),textcoords="offset points",fontsize=12,
             arrowprops=dict(arrowstyle='->'))
 plt.annotate(s="",xy=(origin[0],ylim[1]+0.0005*(ylim[1]-ylim[0])),xycoords="data",xytext=(0,-0.0001),textcoords="offset points",fontsize=12,
             arrowprops=dict(arrowstyle='->'))
 ax.text(x=origin[0]+0.01*(xlim[1]-origin[0]),y=ylim[1]-0.05*(ylim[1]-origin[1]),s=r"$\alpha($%$)$",fontsize=13)
 plt.bar(np.arange(14)+0.5,sampleY,facecolor="#9999ff",edgecolor="white")
 #plt.plot(sampleX,sampleY)
 plt.show()