请参阅------------Colin enumerate (z.columns ) :28plt.figure(i ) I----29SNS.distplot color=color='g ' ) 31至~/env/lib/python 3.6/site-packages/seaborn/distributions.pyindistplot (a，bins，a ) ax ) 229 if kde 3360230 kde _ color=kde _ kws.pop (color )， color )-2330=color :233 kde _ kws [ ' color ' ]=kde _ color~~/env/lib/python 3.6/site-packages/seaborn shade_lowest、cbar、cbar_ax、cbar_kws、ax、**kwargs(689ax=_ ) ) )。 690gridsize，cut，clip，legend，ax，--691cumulative=cumulative， * kwargs (692693 return ax (/env/lib/python 3.6/site-packages/seaborn/distributions.pyin _ univariate _ kdepppes ) * * kwargs (292 ' onlyimplementedinstatsmodels.' 293 ' pleaseinstallstatsmodels.' )-- gridsize，cut， clip ) 295296 # makesurethedensityisnonnegative (/env/lib/python 3.6/site-packages/seaborn/distration bw，gridsizzion bw clip ) 364 ' ' computeaunivariatekerneldensityestimateusingscipy.' ' 365 try :-- 366 kde=stata te bw _ method=bw (367 except TTT )/env/lib/python 3.6/site-packag age bw _ method， weights (206 self._ neff=1/sum (self._ weights * *2) 207--208self.set_bandwidth ) bw _ meeth points (333333333333330 kde.pyinset_bandwidth ) self， bw_method(552raisevalueerror ) msg ) 553-- 554 self._ compute _ co variance (5556 def _ compute _ co variance ) ) 55306; kde.pyin _ compute _ co variance (self ) 564bias=False，565 aweights=self.weights---566 self._ data _ inv python 3.6/site-packages/scipy/Lina LG/basic.pyin inv (a，overwrite_a，check_finite ) 972inv_a， in nite overwrite _ Lu=1(973 if info 0:---- 974 raiselinalgerror (singular matrix ) ) 975 if info 0:976 raisevaluerror 03360976raisevaluerr