Python plot_map_3d 예제들

예제 #1

파일: viz3d.py 프로젝트: satra/nipy

plot_map(brain_map.get_data(), brain_map.get_affine(),
         cmap=cm.cold_hot,
         vmin=vmin,
         vmax=vmax,
         anat=None,
         figure=10,
         threshold=3)

# More plots using 3D
if True:  # replace with False to skip this
    plot_map(brain_map.get_data(), brain_map.get_affine(),
             cmap=cm.cold_hot,
             vmin=vmin,
             vmax=vmax,
             anat=None,
             figure=11,
             threshold=3, do3d=True)

    from nipy.labs import viz3d
    try:
        viz3d.plot_map_3d(brain_map.get_data(), brain_map.get_affine(),
                        cmap=cm.cold_hot,
                        vmin=vmin,
                        vmax=vmax,
                        anat=None,
                        threshold=4)
    except ImportError:
        print "Need mayavi for 3D visualization"

plt.show()

예제 #2

파일: viz3d.py 프로젝트: jarrodmillman/nipy_paper

from os import path
import matplotlib.pyplot as plt
from nibabel import load
from nipy.labs.viz import plot_map, cm
from nipy.labs import viz3d
from mayavi import mlab

# Local import
from get_data_light import DATA_DIR, get_second_level_dataset

#######################################
# Data and analysis parameters
#######################################

input_image = path.join(DATA_DIR, 'spmT_0029.nii.gz')
if not path.exists(input_image):
    get_second_level_dataset()

brain_map = load(input_image)
vmin, vmax = brain_map.get_data().min(), brain_map.get_data().max()

viz3d.plot_map_3d(brain_map.get_data(),
                  brain_map.get_affine(),
                  cmap=cm.cold_hot,
                  vmin=vmin,
                  vmax=vmax,
                  anat=None,
                  threshold=4)
mlab.savefig('viz_3d.png')

예제 #3

파일: localizer_glm_ar.py 프로젝트: fabianp/nipy

    contrast_image = Nifti1Image(write_array, affine)
    save(contrast_image, contrast_path)

    vmax = max(-write_array.min(), write_array.max())
    plot_map(write_array, affine, cmap=cm.cold_hot, vmin=-vmax, vmax=vmax, anat=None, figure=10, threshold=2.5)
    plt.savefig(op.join(write_dir, "%s_z_map.png" % contrast_id))
    plt.clf()


#########################################
# End
#########################################

print "All the  results were witten in %s" % write_dir

# make a simple 2D plot
plot_map(write_array, affine, cmap=cm.cold_hot, vmin=-vmax, vmax=vmax, anat=None, figure=10, threshold=3)

# More plots using 3D
if True:  # replace with False to skip this
    plot_map(write_array, affine, cmap=cm.cold_hot, vmin=-vmax, vmax=vmax, anat=None, figure=11, threshold=3, do3d=True)

    from nipy.labs import viz3d

    try:
        viz3d.plot_map_3d(write_array, affine, cmap=cm.cold_hot, vmin=-vmax, vmax=vmax, anat=None, threshold=4)
    except ImportError:
        print "Need mayavi for 3D visualization"

plt.show()

예제 #4

파일: localizer_glm_ar.py 프로젝트: ofenlab/nipy

         vmax=vmax,
         anat=None,
         figure=10,
         threshold=3)

# More plots using 3D
if True:  # replace with False to skip this
    plot_map(write_array,
             affine,
             cmap=cm.cold_hot,
             vmin=-vmax,
             vmax=vmax,
             anat=None,
             figure=11,
             threshold=3,
             do3d=True)

    from nipy.labs import viz3d
    try:
        viz3d.plot_map_3d(write_array,
                          affine,
                          cmap=cm.cold_hot,
                          vmin=-vmax,
                          vmax=vmax,
                          anat=None,
                          threshold=4)
    except ImportError:
        print "Need mayavi for 3D visualization"

plt.show()