Pythonda Matplotlib kutubxonasidan foydalanib diagrammalar va uch o‘lchovli grafiklar chizish
![chizmalari. Ular qiymatlar to'plamini oladi va uni belgilangan uch o'lchovli
yuzaga proyeksiya qiladi va natijada paydo bo'lgan uch o'lchamli shakllarni
vizualizatsiya qilishni juda oson qiladi. Sirt syujeti simli ramka syujetiga
o'xshaydi, lekin simli ramkaning har bir yuzi to'ldirilgan
ko'pburchakdir. To'ldirilgan ko'pburchaklarga rang xaritasini qo'shish
tasvirlangan sirt topologiyasini idrok etishga yordam beradi. Sirt syujeti uchun
qiymatlar panjarasi ikki o'lchovli bo'lishi kerak bo'lsa-da, u to'g'ri chiziqli
bo'lishi shart emas.
IV BOB . Amaliy mashqlar
4.1 Chiziqli diagrammalar chizish
import matplotlib.pyplot as plt
# x-o’qidagi koordinatalari
left = [1, 2, 3, 4, 5]
# balandligi
height = [10, 24, 36, 40, 5]
# ustun nomlari
tick_label = ['one', 'two', 'three', 'four', 'five']
# diagramma chizish
plt.bar(left, height, tick_label = tick_label,
width = 0.8, color = ['red', 'green'])
# x o’qining nomi
plt.xlabel('x - axis')
# y o’qining nomi
plt.ylabel('y - axis')
# diagramma nomi
plt.title('My bar chart!')
plt.show()
10](https://docx.uz/documents/c9a2760a-660c-44d4-ace8-49b73cee5a32/page_10.png?v=1)
![Doiraviy diagrammalar
import matplotlib.pyplot as plt
import numpy as np
y=np.array([ 35 , 25 , 25 , 15 ])
plt.pie(y)
plt.show()
import matplotlib.pyplot as plt
import numpy as np
y = np.array([ 35 , 25 , 25 , 15 ])
mylabels = [ "Apples" , "Bananas" , "Cherries" , "Dates" ]
plt.pie(y, labels = mylabels)
plt.show()
12](https://docx.uz/documents/c9a2760a-660c-44d4-ace8-49b73cee5a32/page_12.png?v=1)
![import matplotlib.pyplot as plt
import numpy as np
y=np.array([ 35 , 25 , 25 , 15 ])
mylabels=[ "Apples" , "Bananas" , "Cherries" , "Dates" ]
plt.pie(y, labels=mylabels,startangle= 90 )
plt.show()
13](https://docx.uz/documents/c9a2760a-660c-44d4-ace8-49b73cee5a32/page_13.png?v=1)
![import matplotlib.pyplot as plt
import numpy as np
y = np.array([ 35 , 25 , 25 , 15 ])
mylabels = [ "Apples" , "Bananas" , "Cherries" , "Dates" ]
myexplode = [ 0.2 , 0 , 0 , 0 ]
plt.pie(y, labels = mylabels, explode = myexplode)
plt.show()
14](https://docx.uz/documents/c9a2760a-660c-44d4-ace8-49b73cee5a32/page_14.png?v=1)
![#################
ax = fig.add_subplot(2, 1, 2, projection='3d')
X = np.arange(-5, 5, 0.25)
xlen = len(X)
Y = np.arange(-5, 5, 0.25)
ylen = len(Y)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)
surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1,
linewidth=0, antialiased=False)
ax.set_zlim3d(-1, 1)
plt.show()
import numpy as np
from myplot import plot_verticles
vertices = np.array(
[
[ -3 , -3 , 0 ],
[+ 3 , -3 , 0 ],
[+ 3 , + 3 , 0 ]
19](https://docx.uz/documents/c9a2760a-660c-44d4-ace8-49b73cee5a32/page_19.png?v=1)
![[ -3 , + 3 , 0 ],
[+ 0 , + 0 , + 3 ]
]
)
plot_verticles(vertices
= vertices, isosurf = True )
Xulosa
Men bu kurs ishimni qilishda python dasturlash tilining matplotlib
kutubxonasida gistogramma, diagramma, doiraviy diagramma va uch o’lchovli
grafiklarni chizish uchun ishlatiladigan funksiyalar va funksiya xossalarini
o’rgandim.
Python dasturlash tilining matplotlib kutubxonasida gistogramma,
diagramma, doiraviy diagramma va uch o’lchovli grafiklarni chizish uchun
ishlatiladigan funksiyalar va funksiya xossalarini dasturda qo’llashni o’rgandim.
20](https://docx.uz/documents/c9a2760a-660c-44d4-ace8-49b73cee5a32/page_20.png?v=1)
Pythonda Matplotlib kutubxonasidan foydalanib diagrammalar va uch o‘lchovli grafiklar chizish