CubeFile

class pysis.CubeFile(stream_or_fname, filename=None)

A Isis Cube file reader.

apply_numpy_specials(copy=True)

Convert isis special pixel values to numpy special pixel values.

Isis	Numpy
Null	nan
Lrs	-inf
Lis	-inf
His	inf
Hrs	inf

Parameters:copy – whether to apply the new special values to a copy of the pixel data and leave the orginial unaffected Returns:a numpy array with special values converted to numpy’s nan, inf and -inf

apply_scaling(copy=True)

Scale pixel values to there true DN.

Parameters:copy – whether to apply the scalling to a copy of the pixel data and leave the orginial unaffected Returns:a scalled version of the pixel data

bands

Number of image bands.

base

An additive factor by which to offset pixel DN.

data = None

A numpy array representing the image data.

dtype

Pixel data type.

filename = None

The filename if given, otherwise none.

get_image_array()

Create an array for use in making an image.

Creates a linear stretch of the image and scales it to between 0 and 255. Null, Lis and Lrs pixels are set to 0. His and Hrs pixels are set to 255.

Usage:

from pysis import CubeFile
from PIL import Image

# Read in the image and create the image data
image = CubeFile.open('test.cub')
data = image.get_image_array()

# Save the first band to a new file
Image.fromarray(data[0]).save('test.png')

Returns:A uint8 array of pixel values.

label = None

The parsed label header in dictionary form.

lines

Number of lines per band.

multiplier

A multiplicative factor by which to scale pixel DN.

classmethod open(filename)

Read an Isis Cube file from disk.

Parameters:filename – name of file to read as an isis file

samples

Number of samples per line.

shape

Tuple of images bands, lines and samples.

size

Total number of pixels.

specials_mask()

Create a pixel map for special pixels.

Returns:an array where the value is False if the pixel is special and True otherwise

start_byte

Index of the start of the image data (zero indexed).

tile_lines

Number of lines per tile.

tile_samples

Number of samples per tile.