pyRobShrk

""" invdisttree.py: inverse-distance-weighted interpolation using KDTree
    fast, solid, local
    https://stackoverflow.com/a/3119544
"""
from __future__ import division
import numpy as np
from scipy.spatial import cKDTree as KDTree
    # http://docs.scipy.org/doc/scipy/reference/spatial.html

__date__ = "2010-11-09 Nov"  # weights, doc

martinapugliese

# Copyright (C) 2016 Martina Pugliese

from boto3 import resource
from boto3.dynamodb.conditions import Key

# The boto3 dynamoDB resource
dynamodb_resource = resource('dynamodb')


def get_table_metadata(table_name):

mfouesneau

import numpy as np
from scipy.spatial import cKDTree
from bary import RbfInterpolator


class KDTreeInterpolator(object):
    """
    KDTreeInterpolator(points, values)

    Nearest-neighbours (barycentric) interpolation in N dimensions.