How to use the trollimage.colormap.rainbow function in trollimage
To help you get started, we’ve selected a few trollimage examples, based on popular ways it is used in public projects.
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pytroll / fogpy / fogpy / algorithms.py View on Github 
name = self.__class__.__name__
savedir = os.path.join(dir, name + '_clusters_' +
datetime.strftime(self.time,
'%Y%m%d%H%M') + '.png')
# Using Trollimage if available, else matplotlib is used to plot
try:
from trollimage.image import Image
from trollimage.colormap import rainbow
except ImportError:
logger.info("{} results can't be plotted to: {}". format(name,
self.dir))
return 0
# Create image from data
cluster_img = Image(self.clusters.squeeze(), mode='L', fill_value=None)
cluster_img.stretch("crude")
cluster_img.colorize(rainbow)
cluster_img.resize((self.clusters.shape[0] * 5,
self.clusters.shape[1] * 5))
if save:
cluster_img.save(savedir)
logger.info("{} results are plotted to: {}". format(name,
self.dir))
else:
cluster_img.show()# convert to masked array
# convert form km to meter
height = np.ma.masked_where(height <= 0, height, copy=False) * 1000.
if False:
from trollimage.image import Image as trollimage
from trollimage.colormap import rainbow
from copy import deepcopy
# cloud top height
prop = height
min_data = prop.min()
max_data = prop.max()
print " estimated CTH(meter) (min/max): ", min_data, max_data
min_data = 0
max_data = 12000
colormap = deepcopy(rainbow)
colormap.set_range(min_data, max_data)
img = trollimage(prop, mode="L") #, fill_value=[0,0,0]
img.colorize(colormap)
img.show()
# return cloud top height in meter
return height
