model/rank_feature.py
def sort_by_ith_column(data, i, reverse=False):
    """
    Sort the data by ith column.

    Args:
        data: A 2D numpy array.
        i: An integer of the index of the column.
        reverse: A boolean indicating the order.
    Returns:
        A numpy array of sorted data.
    """
    sorted_indices = np.argsort(data[:, i])
    if reverse:
        return data[sorted_indices[::-1]]
    else:
        return data[sorted_indices]

    Sort the data by ith column.

    Args:
        data: A 2D numpy array.
        i: An integer of the index of the column.
        reverse: A boolean indicating the order.
    Returns:
        A numpy array of sorted data.
    
Sort the data by ith column.
Sort the data by ith column .
def sort_by_ith_column(data, i, reverse=False):
    sorted_indices = np.argsort(data[:, i])
    if reverse:
        return data[sorted_indices[::-1]]
    else:
        return data[sorted_indices]
def sort_by_ith_column ( data , i , reverse = False ) : sorted_indices = np . argsort ( data [ : , i ] ) if reverse : return data [ sorted_indices [ : : - 1 ] ] else : return data [ sorted_indices ]
Sort the data by ith column.
Sort the data by ith column .
"""
    Sort the data by ith column.

    Args:
        data: A 2D numpy array.
        i: An integer of the index of the column.
        reverse: A boolean indicating the order.
    Returns:
        A numpy array of sorted data.
    """
A numpy array of sorted data.
A numpy array of sorted data .
data
A 2D numpy array.
A 2D numpy array .
i
An integer of the index of the column.
An integer of the index of the column .
reverse
A boolean indicating the order.
A boolean indicating the order .