IR-ez  ddlmZdgZddZdS))calculate_bin_edgeshist Nj@c \|dd}|dd}t||||}t||kr0tdt||ddlm}|}|j||fi|S)aEnhanced 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: https://www.astroml.org/ Parameters ---------- x : array-like array of data to be histogrammed bins : int, 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 : `~matplotlib.axes.Axes` instance, optional Specify the Axes on which to draw the histogram. If not specified, then the current active axes will be used. max_bins : int, optional Maximum number of bins allowed. With more than a few thousand bins the performance of matplotlib will not be great. If the number of bins is large *and* the number of input data points is large then the it will take a very long time to compute the histogram. **kwargs : other keyword arguments are described in ``plt.hist()``. Notes ----- Return values are the same as for ``plt.hist()`` See Also -------- astropy.stats.histogram rangeNweights)rr zHistogram has too many bins: {nbin}. Use max_bins to increase the number of allowed bins or range to restrict the histogram range.)nbinr) getrlen ValueErrorformatmatplotlib.pyplotpyplotgcar)xbinsaxmax_binskwargsrr plts :lib/python3.11/site-packages/astropy/visualization/hist.pyrrsb JJw % %EjjD))G q$eW E E ED 4yy8 #$*6s4yy6#9#9     z'''''' WWYY 271d % %f % %%)rNr)astropy.stats.histogramr__all__rrrrsD877777 (C&C&C&C&C&C&r