σ ›ίΘ[c@`sdddlmZmZmZddlZddlmZddlm Z dgZ ddd„Z dS( i(tabsolute_importtdivisiontunicode_literalsNi(t histogram(t signatureuhisti c `s“tttjƒjjƒƒd}t‡fd†|Dƒƒ}t|||\}}|dkr€ddlj }|j ƒ}n|j ||ˆS(u„Enhanced histogram function This is a histogram function that enables the use of more sophisticated algorithms for determining bins. Aside from the ``bins`` argument allowing a string specified how bins are computed, the parameters are the same as pylab.hist(). This function was ported from astroML: http://astroML.org/ Parameters ---------- x : array_like array of data to be histogrammed bins : int or list or str (optional) If bins is a string, then it must be one of: - 'blocks' : use bayesian blocks for dynamic bin widths - 'knuth' : use Knuth's rule to determine bins - 'scott' : use Scott's rule to determine bins - 'freedman' : use the Freedman-diaconis rule to determine bins ax : Axes instance (optional) specify the Axes on which to draw the histogram. If not specified, then the current active axes will be used. **kwargs : other keyword arguments are described in ``plt.hist()``. Notes ----- Return values are the same as for ``plt.hist()`` See Also -------- astropy.stats.histogram ic3`s+|]!}|ˆkr|ˆ|fVqdS(N((t.0tkey(tkwargs(s9lib/python2.7/site-packages/astropy/visualization/hist.pys 7siN( tlistRtnpRt parameterstkeystdicttNonetmatplotlib.pyplottpyplottgcathist(txtbinstaxRtarglistt np_hist_kwdsRtplt((Rs9lib/python2.7/site-packages/astropy/visualization/hist.pyR s*" ( t __future__RRRtnumpyR tstatsRtutils.compat.funcsigsRt__all__R R(((s9lib/python2.7/site-packages/astropy/visualization/hist.pyts