def gray2qimage(gray, normalize = False):
    """Convert the 2D numpy array `gray` into a 8-bit, indexed QImage_
    with a gray colormap.  The first dimension represents the vertical
    image axis.

    The parameter `normalize` can be used to normalize an image's
    value range to 0..255:

    `normalize` = (nmin, nmax):
      scale & clip image values from nmin..nmax to 0..255

    `normalize` = nmax:
      lets nmin default to zero, i.e. scale & clip the range 0..nmax
      to 0..255

    `normalize` = True:
      scale image values to 0..255 (same as passing (gray.min(),
      gray.max()))

    If the source array `gray` contains masked values, the result will
    have only 255 shades of gray, and one color map entry will be used
    to make the corresponding pixels transparent.

    A full alpha channel cannot be supported with indexed images;
    instead, use `array2qimage` to convert into a 32-bit QImage.

    :param gray: image data which should be converted (copied) into a QImage_
    :type gray: 2D or 3D numpy.ndarray_ or `numpy.ma.array <masked arrays>`_
    :param normalize: normalization parameter (see above, default: no value changing)
    :type normalize: bool, scalar, or pair
    :rtype: QImage_ with RGB32 or ARGB32 format"""
    if _np.ndim(gray) != 2:
        raise ValueError("gray2QImage can only convert 2D arrays" +
                         " (try using array2qimage)" if _np.ndim(gray) == 3 else "")

    h, w = gray.shape
    result = _qt.QImage(w, h, _qt.QImage.Format_Indexed8)

    if not _np.ma.is_masked(gray):
        for i in range(256):
            result.setColor(i, _qt.qRgb(i,i,i))

        _qimageview(result)[:] = _normalize255(gray, normalize)
    else:
        # map gray value 1 to gray value 0, in order to make room for
        # transparent colormap entry:
        result.setColor(0, _qt.qRgb(0,0,0))
        for i in range(2, 256):
            result.setColor(i-1, _qt.qRgb(i,i,i))

        _qimageview(result)[:] = _normalize255(gray, normalize, clip = (1, 255)) - 1

        result.setColor(255, 0)
        _qimageview(result)[gray.mask] = 255

    return result
def gray2qimage ( gray , normalize = False ) : if _np . ndim ( gray ) != 2 : raise ValueError ( "gray2QImage can only convert 2D arrays" + " (try using array2qimage)" if _np . ndim ( gray ) == 3 else "" ) h , w = gray . shape result = _qt . QImage ( w , h , _qt . QImage . Format_Indexed8 ) if not _np . ma . is_masked ( gray ) : for i in range ( 256 ) : result . setColor ( i , _qt . qRgb ( i , i , i ) ) _qimageview ( result ) [ : ] = _normalize255 ( gray , normalize ) else : result . setColor ( 0 , _qt . qRgb ( 0 , 0 , 0 ) ) for i in range ( 2 , 256 ) : result . setColor ( i - 1 , _qt . qRgb ( i , i , i ) ) _qimageview ( result ) [ : ] = _normalize255 ( gray , normalize , clip = ( 1 , 255 ) ) - 1 result . setColor ( 255 , 0 ) _qimageview ( result ) [ gray . mask ] = 255 return result
Convert the 2D numpy array `gray` into a 8-bit, indexed QImage_
    with a gray colormap.  The first dimension represents the vertical
    image axis.

    The parameter `normalize` can be used to normalize an image's
    value range to 0..255:

    `normalize` = (nmin, nmax):
      scale & clip image values from nmin..nmax to 0..255

    `normalize` = nmax:
      lets nmin default to zero, i.e. scale & clip the range 0..nmax
      to 0..255

    `normalize` = True:
      scale image values to 0..255 (same as passing (gray.min(),
      gray.max()))

    If the source array `gray` contains masked values, the result will
    have only 255 shades of gray, and one color map entry will be used
    to make the corresponding pixels transparent.

    A full alpha channel cannot be supported with indexed images;
    instead, use `array2qimage` to convert into a 32-bit QImage.

    :param gray: image data which should be converted (copied) into a QImage_
    :type gray: 2D or 3D numpy.ndarray_ or `numpy.ma.array <masked arrays>`_
    :param normalize: normalization parameter (see above, default: no value changing)
    :type normalize: bool, scalar, or pair
    :rtype: QImage_ with RGB32 or ARGB32 format