Sahifa 1 sahifa

Shakl 16.25 - Mayavi modullari

403

Sahifa 405

Skalyar ma'lumotlar bilan ishlash modullari.

Glif

Ma'lumotlarni glif sifatida taqdim etadi:

x, y, z = np.ogrid [- 7 : 7 : 0.5 , - 7 : 7 : 0.5 , - 1 : 7 : 0.5 ]

skalar = x * x + y * y - z * z

src = mlab.pipeline.scalar_field (skalar)

mlab.pipeline.glyph (src)

mlab.show ()

16.26-rasm - Glif filtrining namoyishi

IsoSurface

Ma'lumotlarni izosurfalar sifatida ko'rsatish:

src = mlab.pipeline.scalar_field (skalar)

mlab.pipeline.iso_surface (src)

mlab.show ()

404

Sahifa 406

16.27-rasm - IsoSurface filtrining namoyishi

ScalarCutPlane

Ma'lumotlar to'plamining faqat sekant tomonidan ajratilgan qismini aks ettiradi

samolyot:

src = mlab.pipeline.scalar_field (skalar)

mlab.pipeline.scalar_cut_plane (src)

mlab.show ()

16.28-rasm - ScalarCutPlane modulining namoyishi

405

Sahifa 407

Yuzaki

Berilgan ma'lumotlar to'plamidan sirt hosil qiladi:

src = mlab.pipeline.scalar_field (skalar)

mlab.pipeline.surface (src)

mlab.show ()

Shakl 16.29 - Surface modulining namoyishi

Vektorli ma'lumotlarni vizualizatsiya qilish uchun modullar.

VectorCutplane

Vektorli ma'lumotlar uchun bo'laklarni yaratadi:

x, y, z = np.mgrid [ 0 : 3 : 0.5 , 0 : 3 : 0.5 , 0 : 3 : 0.5 ]

u = x * x

v = y

w = z

src = mlab.pipeline.vector_field (u, v, w)

mlab.pipeline.vector_cut_plane (src)

mlab.show ()

406

Sahifa 408

Shakl 16.30 - VectorCutplane modulining namoyishi

Vektorlar

O'tkazilgan vektorlar to'plamini beradi:

x, y, z = np.mgrid [ 0 : 3 : 0.5 , 0 : 3 : 0.5 , 0 : 3 : 0.5 ]

u = x * x

v = y

w = z

src = mlab.pipeline.vector_field (u, v, w)

mlab.pipeline.vectors (src)

mlab.show ()

Shakl 16.31 - Vektorlar modulining namoyishi

407

Sahifa 409

Tartibga solish

Oqim chiziqlarini o'rganishga imkon beruvchi interaktiv vosita,

o'tkazilgan vektorlar to'plamidan tuzilgan:

x, y, z = np.mgrid [ 0 : 3 : 0.5 , 0 : 3 : 0.5 , 0 : 3 : 0.5 ]

u = x * x

v = y

w = z

src = mlab.pipeline.vector_field (u, v, w)

mlab.pipeline.streamline (src, seedtype = 'tekislik' )

mlab.show ()

Shakl 16.32 - Streamline modulining namoyishi

Ma'lumotlar bilan ishlash modullari.

GridPlane

Modul modelga panjara bilan tekislikni joylashtiradi:

x, y, z = np.ogrid [- 7 : 7 : 0.5 , - 7 : 7 : 0.5 , - 1 : 7 : 0.5 ]

skalar = x * x + y * y - z * z

src = mlab.pipeline.scalar_field (skalar)

mlab.pipeline.grid_plane (src)

mlab.show ()

408

410-bet

Shakl 16.33 - GridPlane modulining namoyishi

ContourGridPlane

Ma'lumotlar to'plami uchun konturlar to'plami bo'lgan tekislik.

CustomGridPlane

Tarmoqli foydalanuvchi tomonidan sozlanishi tekislikni yaratishga imkon beradi.

ImagePlaneWidget

Berilgan to'plam uchun interaktiv chiqib ketish tekisligini quradi

ma'lumotlar:

x, y, z = np.ogrid [- 7 : 7 : 0.5 , - 7 : 7 : 0.5 , - 1 : 7 : 0.5 ]

skalar = x * x + y * y - z * z

src = mlab.pipeline.scalar_field (skalar)

mlab.pipeline.image_plane_widget (src)

mlab.pipeline.volume (src)

mlab.show ()

409

411-bet

16.34-rasm - ImagePlaneWidget modulining namoyishi

ImageActor

Ma'lumotlar to'plamini 2 o'lchovli tasvir sifatida ifodalaydi:

x, y = np.mgrid [- 2 : 2 : 0,1 , - 2 : 2 : 0,1 ]

z = np.cos (x * y) * np.sin (x * y)

src = mlab.pipeline.scalar_field (z)

mlab.pipeline.image_actor (src)

mlab.show ()

16.35-rasm - ImageActor modulining namoyishi

Tovush

3D modelini yaratadi:

410

412-bet

x, y, z = np.ogrid [- 7 : 7 : 0.5 , - 7 : 7 : 0.5 , - 1 : 7 : 0.5 ]

skalar = x * x + y * y - z * z

src = mlab.pipeline.scalar_field (skalar)

mlab.pipeline.volume (src)

mlab.show ()

Shakl 16.36 - Volume modulining namoyishi

411

413-bet

Xulosa

Kutubxonalar haqida iloji boricha ko'proq ma'lumot berishga harakat qildik

Matplotlib , Seaborn va Mayavi , umid qilamanki sizga ma'lumot

ushbu kitob sahifalarida uchrashgan, foydali ekanligi isbotlangan. agar sizda bo'lsa

sharhlar yoki tarkib bo'yicha takliflar, keyin bizga yozing

[e-mail], biz siz bilan gaplashishni istaymiz.

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