def calc_edge(index, shellindex, MC):
    # Find all the points just inside the clouds
    maskindex = expand_indexes(shellindex, MC)
    
    # From the expanded mask, select the points inside the cloud
    edgeindex = numpy.intersect1d(maskindex, index, assume_unique=True)

    return edgeindex
def calc_shell(index, MC):
    # Expand the cloud points outward
    maskindex = expand_indexes(index, MC)
    
    # From the expanded mask, select the points outside the cloud
    shellindex = numpy.setdiff1d(maskindex, index, assume_unique=True)

    return shellindex
Exemple #3
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def calc_edge(index, shellindex, MC):
    # Find all the points just inside the clouds
    maskindex = expand_indexes(shellindex, MC)

    # From the expanded mask, select the points inside the cloud
    edgeindex = numpy.intersect1d(maskindex, index, assume_unique=True)

    return edgeindex
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def calc_shell(index, MC):
    # Expand the cloud points outward
    maskindex = expand_indexes(index, MC)

    # From the expanded mask, select the points outside the cloud
    shellindex = numpy.setdiff1d(maskindex, index, assume_unique=True)

    return shellindex
def expand_cloudlet(cloudlet, indexes, MC):
    """Given an array of indexes composing a cloudlet and a boolean mask 
    array indicating if each model index may be expanded into (True) or 
    not (False), expand the cloudlet into the permissable indicies that 
    are find all indicies adjacent to the cloudlet.
    
    Returns an array of the indicies composing the expanded cloudlet, and 
    an array of the remaining indicies that may be expanded into.
    """

    # Expand the cloudlet indexes into their nearest neighbours
    expanded_cloudlet = expand_indexes(cloudlet, MC)

    # Find the mask values of the expanded indexes
    mask = indexes[expanded_cloudlet]

    # Select the expanded cloudlet indexes that may be expanded into
    new_points = expanded_cloudlet[mask]

    # Remove the indicies that have been added to the cloudlet
    indexes[new_points] = False

    return new_points, indexes
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def expand_cloudlet(cloudlet, indexes, MC):
    """Given an array of indexes composing a cloudlet and a boolean mask 
    array indicating if each model index may be expanded into (True) or 
    not (False), expand the cloudlet into the permissable indicies that 
    are find all indicies adjacent to the cloudlet.
    
    Returns an array of the indicies composing the expanded cloudlet, and 
    an array of the remaining indicies that may be expanded into.
    """

    # Expand the cloudlet indexes into their nearest neighbours
    expanded_cloudlet = expand_indexes(cloudlet, MC)

    # Find the mask values of the expanded indexes
    mask = indexes[expanded_cloudlet]

    # Select the expanded cloudlet indexes that may be expanded into
    new_points = expanded_cloudlet[mask]

    # Remove the indicies that have been added to the cloudlet
    indexes[new_points] = False

    return new_points, indexes