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src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/nonparametric/kde2.py   scikits.statsmodels(Download)
# -*- coding: utf-8 -*-
 
import numpy as np
import kernel as kernels
import bandwidths as bw
    from numpy import random
    import matplotlib.pyplot as plt
    import bandwidths as bw
 
    # 1 D case

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/nonparametric/__init__.py   scikits.statsmodels(Download)
from kde import KDE
import bandwidths
 
from scikits.statsmodels import NoseWrapper as Tester
test = Tester().test

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/nonparametric/kde.py   scikits.statsmodels(Download)
from scikits.statsmodels.tools.decorators import (cache_readonly,
                                                    resettable_cache)
import bandwidths
from kdetools import (forrt, revrt, silverman_transform, linbin, counts)
 

src/s/t/statsmodels-0.5.0/statsmodels/nonparametric/api.py   statsmodels(Download)
from .kde import KDE, KDEUnivariate
from .smoothers_lowess import lowess
import bandwidths
 
from .kernel_density import \