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""" 

=================================================================== 

Statistical functions for masked arrays (:mod:`scipy.stats.mstats`) 

=================================================================== 

 

.. currentmodule:: scipy.stats.mstats 

 

This module contains a large number of statistical functions that can 

be used with masked arrays. 

 

Most of these functions are similar to those in scipy.stats but might 

have small differences in the API or in the algorithm used. Since this 

is a relatively new package, some API changes are still possible. 

 

.. autosummary:: 

:toctree: generated/ 

 

argstoarray 

chisquare 

count_tied_groups 

describe 

f_oneway 

find_repeats 

friedmanchisquare 

kendalltau 

kendalltau_seasonal 

kruskalwallis 

ks_twosamp 

kurtosis 

kurtosistest 

linregress 

mannwhitneyu 

plotting_positions 

mode 

moment 

mquantiles 

msign 

normaltest 

obrientransform 

pearsonr 

plotting_positions 

pointbiserialr 

rankdata 

scoreatpercentile 

sem 

skew 

skewtest 

spearmanr 

theilslopes 

tmax 

tmean 

tmin 

trim 

trima 

trimboth 

trimmed_stde 

trimr 

trimtail 

tsem 

ttest_onesamp 

ttest_ind 

ttest_onesamp 

ttest_rel 

tvar 

variation 

winsorize 

zmap 

zscore 

compare_medians_ms 

gmean 

hdmedian 

hdquantiles 

hdquantiles_sd 

hmean 

idealfourths 

kruskal 

ks_2samp 

median_cihs 

meppf 

mjci 

mquantiles_cimj 

rsh 

sen_seasonal_slopes 

trimmed_mean 

trimmed_mean_ci 

trimmed_std 

trimmed_var 

ttest_1samp 

 

""" 

from __future__ import division, print_function, absolute_import 

 

from .mstats_basic import * 

from .mstats_extras import * 

# Functions that support masked array input in stats but need to be kept in the 

# mstats namespace for backwards compatibility: 

from scipy.stats import gmean, hmean, zmap, zscore, chisquare