striplog/utils.py
def loglike_from_image(filename, offset):
    """
    Get a log-like stream of RGB values from an image.

    Args:
        filename (str): The filename of a PNG image.
        offset (Number): If < 1, interpreted as proportion of way across
            the image. If > 1, interpreted as pixels from left.

    Returns:
        ndarray: A 2d array (a column of RGB triples) at the specified
        offset.

    TODO:
        Generalize this to extract 'logs' from images in other ways, such
        as giving the mean of a range of pixel columns, or an array of
        columns. See also a similar routine in pythonanywhere/freqbot.
    """
    im = plt.imread(filename)
    if offset < 1:
        col = int(im.shape[1] * offset)
    else:
        col = offset
    return im[:, col, :3]
def loglike_from_image(filename, offset):
    im = plt.imread(filename)
    if offset < 1:
        col = int(im.shape[1] * offset)
    else:
        col = offset
    return im[:, col, :3]
def loglike_from_image ( filename , offset ) : im = plt . imread ( filename ) if offset < 1 : col = int ( im . shape [ 1 ] * offset ) else : col = offset return im [ : , col , : 3 ]
Get a log-like stream of RGB values from an image.

    Args:
        filename (str): The filename of a PNG image.
        offset (Number): If < 1, interpreted as proportion of way across
            the image. If > 1, interpreted as pixels from left.

    Returns:
        ndarray: A 2d array (a column of RGB triples) at the specified
        offset.

    TODO:
        Generalize this to extract 'logs' from images in other ways, such
        as giving the mean of a range of pixel columns, or an array of
        columns. See also a similar routine in pythonanywhere/freqbot.
Get a log - like stream of RGB values from an image .