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TEMA4/report.md

@@ -279,7 +279,7 @@ Text(0, 0.5, 'сигнал')
 pylab.show()
 
 ```
-![Graf1](Ris1.PNG)
+![Graf1](C:\Users\Настя\Desktop\python-labs\TEMA4\Ris1.PNG)
 
 ```py
 X1=[12,6,8,10,7]
@@ -290,7 +290,7 @@ pylab.plot(X2)
 [<matplotlib.lines.Line2D object at 0x000002010AED0690>]
 pylab.show()
 ```
-![Graf2](Ris2.PNG)
+![Graf2](C:\Users\Настя\Desktop\python-labs\TEMA4\Ris2.PNG)
 ```py
 region=['Центр','Урал','Сибирь','Юг']
 naselen=[65,12,23,17]
@@ -298,7 +298,27 @@ pylab.pie(naselen,labels=region)
 ([<matplotlib.patches.Wedge object at 0x0000020109A1A270>, <matplotlib.patches.Wedge object at 0x000002010D44E210>, <matplotlib.patches.Wedge object at 0x000002010D44E5D0>, <matplotlib.patches.Wedge object at 0x000002010D44E850>], [Text(-0.191013134139045, 1.0832885038559115, 'Центр'), Text(-0.861328292412156, -0.6841882582231001, 'Урал'), Text(0.04429273995539947, -1.0991078896938387, 'Сибирь'), Text(0.9873750693480946, -0.48486129194837324, 'Юг')])
 pylab.show()
 ```
-![Graf3](Ris3.PNG)
+![Graf3](C:\Users\Настя\Desktop\python-labs\TEMA4\Ris3.PNG)
+
+```py
+rost = [170, 165, 180, 175, 160, 185, 172, 168, 178, 162]
+pylab.hist(rost)
+(array([2., 0., 1., 1., 2., 0., 1., 1., 1., 1.]), array([160. , 162.5, 165. , 167.5, 170. , 172.5, 175. , 177.5, 180. ,
+       182.5, 185. ]), <BarContainer object of 10 artists>)
+pylab.show()
+```
+![Graf4](C:\Users\Настя\Desktop\python-labs\TEMA4\Ris4.PNG)
+
+```py
+predmety = ['Математика', 'Физика', 'Химия']
+otm = [5, 4, 3]
+pylab.bar(predmety, otm)
+<BarContainer object of 3 artists>
+pylab.title('Оценки по предметам')
+Text(0.5, 1.0, 'Оценки по предметам')
+pylab.show()
+```
+![Graf5](C:\Users\Настя\Desktop\python-labs\TEMA4\Ris5.PNG)
 ### 8. Cтатистический модуль statistics.
 
 ```py