ó î&]\c@`sbdZddlmZmZmZddlTddlTddlmZm Z m Z m Z m Z dS(sÀ =================================================================== 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. Summary statistics ================== .. autosummary:: :toctree: generated/ describe gmean hmean kurtosis mode mquantiles hdmedian hdquantiles hdquantiles_sd idealfourths plotting_positions meppf moment skew tmean tvar tmin tmax tsem variation find_repeats sem trimmed_mean trimmed_mean_ci trimmed_std trimmed_var Frequency statistics ==================== .. autosummary:: :toctree: generated/ scoreatpercentile Correlation functions ===================== .. autosummary:: :toctree: generated/ f_oneway pearsonr spearmanr pointbiserialr kendalltau kendalltau_seasonal linregress siegelslopes theilslopes sen_seasonal_slopes Statistical tests ================= .. autosummary:: :toctree: generated/ ttest_1samp ttest_onesamp ttest_ind ttest_rel chisquare ks_2samp ks_twosamp mannwhitneyu rankdata kruskal kruskalwallis friedmanchisquare brunnermunzel skewtest kurtosistest normaltest Transformations =============== .. autosummary:: :toctree: generated/ obrientransform trim trima trimmed_stde trimr trimtail trimboth winsorize zmap zscore Other ===== .. autosummary:: :toctree: generated/ argstoarray count_tied_groups msign compare_medians_ms median_cihs mjci mquantiles_cimj rsh i(tdivisiontprint_functiontabsolute_importi(t*(tgmeanthmeantzmaptzscoret chisquareN( t__doc__t __future__RRRt mstats_basict mstats_extrast scipy.statsRRRRR(((s1lib/python2.7/site-packages/scipy/stats/mstats.pyt€s