141 lines
2.4 KiB
Python
141 lines
2.4 KiB
Python
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"""
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===================================================================
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Statistical functions for masked arrays (:mod:`scipy.stats.mstats`)
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===================================================================
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.. currentmodule:: scipy.stats.mstats
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This module contains a large number of statistical functions that can
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be used with masked arrays.
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Most of these functions are similar to those in `scipy.stats` but might
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have small differences in the API or in the algorithm used. Since this
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is a relatively new package, some API changes are still possible.
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Summary statistics
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==================
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.. autosummary::
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:toctree: generated/
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describe
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gmean
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hmean
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kurtosis
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mode
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mquantiles
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hdmedian
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hdquantiles
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hdquantiles_sd
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idealfourths
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plotting_positions
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meppf
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moment
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skew
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tmean
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tvar
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tmin
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tmax
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tsem
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variation
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find_repeats
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sem
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trimmed_mean
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trimmed_mean_ci
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trimmed_std
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trimmed_var
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Frequency statistics
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====================
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.. autosummary::
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:toctree: generated/
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scoreatpercentile
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Correlation functions
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=====================
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.. autosummary::
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:toctree: generated/
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f_oneway
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pearsonr
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spearmanr
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pointbiserialr
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kendalltau
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kendalltau_seasonal
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linregress
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siegelslopes
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theilslopes
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sen_seasonal_slopes
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Statistical tests
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=================
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.. autosummary::
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:toctree: generated/
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ttest_1samp
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ttest_onesamp
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ttest_ind
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ttest_rel
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chisquare
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kstest
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ks_2samp
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ks_1samp
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ks_twosamp
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mannwhitneyu
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rankdata
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kruskal
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kruskalwallis
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friedmanchisquare
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brunnermunzel
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skewtest
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kurtosistest
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normaltest
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Transformations
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===============
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.. autosummary::
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:toctree: generated/
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obrientransform
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trim
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trima
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trimmed_stde
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trimr
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trimtail
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trimboth
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winsorize
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zmap
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zscore
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Other
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=====
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.. autosummary::
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:toctree: generated/
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argstoarray
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count_tied_groups
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msign
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compare_medians_ms
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median_cihs
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mjci
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mquantiles_cimj
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rsh
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"""
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from . import _mstats_basic
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from . import _mstats_extras
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from ._mstats_basic import * # noqa: F403
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from ._mstats_extras import * # noqa: F403
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# Functions that support masked array input in stats but need to be kept in the
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# mstats namespace for backwards compatibility:
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from scipy.stats import gmean, hmean, zmap, zscore, chisquare
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__all__ = _mstats_basic.__all__ + _mstats_extras.__all__
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__all__ += ['gmean', 'hmean', 'zmap', 'zscore', 'chisquare']
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