python

import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm

#x=np.linspace(-np.pi,np.pi,128)
#y1=np.cos(x)
#y2=np.sign(x)

#plt.plot(x,y1,color="b",label="cos")
#plt.plot(x,y2,color="r",label="sign")

#plt.legend(loc="upper left")
#plt.yticks([-1,0,1],[r'$-1$',r'$0$',r'$+1$'])
#plt.xticks([-np.pi,0,np.pi],[r'$-\pi$',r'$0$',r'$\pi$'])
#plt.title("wykresik")
#plt.xlabel("x")
#plt.ylabel("y")

#plt.show()

#from mpl_toolkits.mplot3d import Axes3D
#fig=plt.figure()
#ax=fig.gca(projection='3d')

#X=np.arange(-5,5,0.25)
#Y=np.arange(-5,5,0.25)



#X,Y=np.meshgrid(X,Y)
#Z=np.sin(X)*np.cos(Y-1)
#ax.plot_surface(X,Y,Z,cmap=cm.coolwarm)
#plt.show()

#x=np.linspace(-np.pi,np.pi,128)
#plt.plot(x,np.sin(10*x))
#plt.ylim([-1,3])
#plt.axes([0.2,0.7,0.6,0.15])
#plt.plot(np.cos(5*x))
#plt.savefig('zad3.png',dpi=480)

#plt.show()

#X=np.random.normal(0,1,1024)
#Y=np.random.normal(0,1,1024)

#K=(np.round(X)+np.round(Y))%2

#plt.scatter(X,Y,70,c=K,alpha=0.5,cmap='bwr')
#plt.xlim([-1.5,1.5])
#plt.ylim([-1.5,1.5])
#plt.show()

#x=np.loadtxt('hist.txt',delimiter=",")
#x=x[:,1]

#plt.hist(x,bins=6,color='g',rwidth=0.5,align='left')
#plt.xlim=([1.75,4.75])
#plt.ylim=([0,7.25])
#plt.show()

Data=np.loadtxt("pie.txt",delimiter=",",dtype=[("punkty",bytes,5),("ile","int")])
P=Data["punkty"]
L=Data["ile"]
plt.pie(L,explode=[0,0,0,0,0,0.25],shadow=True,labels=P,autopct="%1.1F%%")
plt.show()