scipy.stats.mstats

Statistical functions for masked arrays (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
    kstest
    ks_2samp
    ks_1samp
    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