Grafiklar. Matplotlib moduli

To'rtburchakli notekis panjara holati
Тўр tugunlarining koordinatalari tasodifiy ravishda o'rnatilishi uchun dasturimizni o'zgartiramiz. Biz skriptning grafik displey uchun javobgar bo'lgan qismini o'zgarishsiz qoldiramiz. Ushbu skript to'g'ri ishlamaydi, ammo biz muammoni aniq ko'ramiz.
# -*- coding: utf-8 -*-
import pylab
from mpl_toolkits.mplot3d import Axes3D
import numpy
def makeData():
x = numpy.random.rand(100) * 20.0 - 10.0
y = numpy.random.rand(100) * 20.0 - 10.0
xgrid, ygrid = numpy.meshgrid(x, y)
zgrid = numpy.sin(xgrid * 0.3) * numpy.cos(ygrid * 0.75)
return xgrid, ygrid, zgrid
if __name__ == '__main__':
x, y, z = makeData()
fig = pylab.figure()
axes = Axes3D(fig)
axes.plot_surface(x, y, z, rstride=1, cstride=1)
pylab.xlim(-10, 10)
pylab.ylim(-10, 10)
pylab.show()
Натижа:

Grafikni to'g'ri ko'rsatish uchun quyidagi misolda ko'rsatilgandek asli x va y qatorlarni saralash kifoya qiladi:
# -*- coding: utf-8 -*-
import pylab
from mpl_toolkits.mplot3d import Axes3D
import numpy
def makeData():
x = numpy.random.rand(100) * 20.0 - 10.0
y = numpy.random.rand(100) * 20.0 - 10.0
x.sort()
y.sort()
xgrid, ygrid = numpy.meshgrid(x, y)
zgrid = numpy.sin(xgrid * 0.3) * numpy.cos(ygrid * 0.75)
return xgrid, ygrid, zgrid
if __name__ == '__main__':
x, y, z = makeData()
fig = pylab.figure()
axes = Axes3D(fig)
axes.plot_surface(x, y, z, rstride=1, cstride=1)
pylab.xlim(-10, 10)
pylab.ylim(-10, 10)
pylab.show()
Натижа:



To'rtburchak bo'lmagan tasodifiy панжара holati
To'rtburchaklar bo'lmagan tasodifiy panjara holatida, biz o'qlar bo'ylab namunalar bilan bitta o'lchovli massivlar uchun ikki o'lchovli panjara matritsalarini yaratadigan meshgrid funktsiyasidan foydalana olmaymiz.
Scatter usuli yordamida tasodifiy koordinatalarni hajmda ko'rsatish.
# -*- coding: utf-8 -*-