:iJSSKrSSKJr SSKJr SSKrSSKr SSK r SSK J r J r SSKJrJr SSKJr SSKJr SS KJr SS KJrJrJrJrJr \(aSS KJr S \ R>SS SSS4Sjr SSjr!g)N) TYPE_CHECKING)Cohorts Explanation) format_value ordinal_str)DimensionError)labels) get_style)convert_orderingdendrogram_coordsget_sort_order merge_nodes sort_inds) OpHistoryItem ?autoTc[5n[U[5(aSU0n OG[U[5(a URn O%[U[ 5(aUn O Sn [ U 5e[U R55n [U R55n [U 5Hup[U[5(d Sn [ U 5e[UR5S:XaURRS5X'XRU SR:wdM~Sn [U 5e U SR bU SR OU SR"nU SR$nUc['U SSS5nO USLaSnOUnUb7[UR5S:wdURS S :wa [ S 5eU SR(n[*R,"[/[U 55V s/sHoU RPM sn 5n[US5S:Xa [1S 5eUS :Xa2UVs/sHnUR2S:wdMUPM nn[U5S:Hn[5[7U5[85(a6[/[US55V s/sHn [;U 5S-U-PM nn SnUH?nUR2S:XaSUS3nMUR2S:XaM-UR2SUS3nMA /nU HHnUR(H5nUR<(dMUR?UR@S5 MF MJ [U[BRD5(a$Uc[URF5nURnUcO[*R,"[/[US55V s/sHn [HS[9U 5-PM sn 5nUc [U5n[KU[US55n[KUU5n[/[US55V s/sHo/PM nn URM5n[*RN"[*R"[/URS5V s/sH/n [*RN"[QU[UU 555PM1 sn S55nUGbF[SU[*R"U5RS55n[TRVRXR[[TR\R^RaU55n[cUUUU5nU[U5:aUUUS - UUS- 4U::a[e[*R"U5RS5U5unnn[/[U55HFn USS2U4==USS2U4- ss'[*Rf"UUS 5nUU==UU- ss'UU MH OOOGMUSUn![*Rh"[U!5SS5n"/n#UHn$[U$5S :XaU#R?UU$S5 M+SRkU$V s/sHn UU PM sn 5n%[U%5S::aU#R?U%5 Mr[*Rl"[*R"U5RS5U$5n&U#R?UU$U&S[U$5S - S35 M U#nU[US5:a[*Rn"[/US - [US55V s/sHn [UUU 5PM sn 5n'[*Rn"[/US - [US55V s/sHn USS2UU 4PM sn S5USS2UUS - 4'/n(U!HIn Ub/U(a(U(R?[qXS5S-UU -5 M5U(R?UU 5 MK U[US5:a SW'S3U(S'Ucd[rRt"5n[rRv"5n)Sn*U)RySUU*-[*Rz"[U55-S-5 [*Rn"USS2USU4S:5S:n+U+(aUR}SSS S S!S S S"9 S#n,S$n-U-[U5- n.[/[U55Hn U [U5S- - U.-U.S- -*n/URU"U/-UU U!4U.S%[/[U"55V0s/sH)n0UU U!U04S::a URO URPM+ sn0U,U S&XS'U [U5:aUU OSS(3S)9 M UR[U"5[U"S*-5-U(U(V1s/sHn1U1RS+5SPM sn1-S,S-9 UR5S UR5S- n2UR5RURRR55n3U3Rn4U2U4- n5[/[U55Hn U [U5S- - U.-U.S- -*n/[/[U"55Hn0UU0n6UU U64S:aAURUU U64S.U5-- U"U0U/-[qUU U64S/5S0S%URS1S29 MTURUU U64S.U5--U"U0U/-[qUU U64S/5S3S%URS1S29 M M [/U5Hn URU S -S4SS5SS69 M UbK[U5n[/[U55H(n [X5X:Xa[X5X'M(M* URRS75 URRS85 URS0RS5 URS9RS5 U+(aURS3RS5 URS:S;S<9 UR5un7n8UR5un9n:U8U7- S=-n;U+(aURU7U;- U8U;-5 OURU7U8U;-5 URUS,S-9 [U5S :aURS1S-9 URR5n<[/U5H!n Un?UR5un7n8[*RJ"U?5[*R"U?5nAn@UUAU@- - S>-U8U7- -U8-nBURUBS?U8U7- --U:U9- S- S@[qUSA5-S3S%SBS1SCSD9 UR}UBSESFSG9nCUCRS5 [U?U>5HunDnE[*R,"UD5WAW@- - nF[*R,"UD5R5U::dMLWER5U:dMbURWFS>-U8U7- -U8-U[*R,"WE5- SBSH9nGUGHnCUCRS5 M M U(a[rR"5 gU$s sn fs snfs sn fs sn fs sn fs sn fs sn fs sn fs sn fs sn0fs sn1f![a GMf=f)IaCreate a bar plot of a set of SHAP values. Parameters ---------- shap_values : shap.Explanation or shap.Cohorts or dictionary of shap.Explanation objects Passing a multi-row :class:`.Explanation` object creates a global feature importance plot. Passing a single row of an explanation (i.e. ``shap_values[0]``) creates a local feature importance plot. Passing a dictionary of Explanation objects will create a multiple-bar plot with one bar type for each of the cohorts represented by the explanation objects. max_display : int How many top features to include in the bar plot (default is 10). order : OpChain or numpy.ndarray A function that returns a sort ordering given a matrix of SHAP values and an axis, or a direct sample ordering given as a ``numpy.ndarray``. By default, take the absolute value. clustering: np.ndarray or None A partition tree, as returned by :func:`shap.utils.hclust` clustering_cutoff: float Controls how much of the clustering structure is displayed. show_data: bool or str Controls if data values are shown as part of the y tick labels. If "auto", we show the data only when there are no transforms. ax: matplotlib Axes Axes object to draw the plot onto, otherwise uses the current Axes. show : bool Whether :external+mpl:func:`matplotlib.pyplot.show()` is called before returning. Setting this to ``False`` allows the plot to be customized further after it has been created. Returns ------- ax: matplotlib Axes Returns the :external+mpl:class:`~matplotlib.axes.Axes` object with the plot drawn onto it. Only returned if ``show=False``. Examples -------- See `bar plot examples `_. zmThe shap_values argument must be an Explanation object, Cohorts object, or dictionary of Explanation objects!rrz`When passing several Explanation objects, they must all have the same number of feature columns!N clusteringFr z}The clustering provided by the Explanation object does not seem to be a partition tree, which is all shap.plots.bar supports.z=The passed Explanation is empty, so there is nothing to plot.r __getitem__ z SHAP valueabs|()FEATUREz + (z other featuresz%0.03f = zSum of rg?z#000000-)color linestyle linewidthzorder) Nz\\z++xxz////*oO.r%ffffff?center)r r r g?z [])alignr&hatch edgecolorlabelg:0yE>= fontsizegrqDZ?z%+0.02fright )horizontalalignmentverticalalignmentr&r9leftz#888888)r )r&lwdashesr)bottomnonetopx ) labelsizeg?g?g{Gzt?zClustering cutoff = z%0.02fz#999999i)r<r=r&r9rotationz#dddddd)r r )r&rA)r&)cr isinstancerrcohortsdict TypeErrorlistkeysvalues enumeratelenshapermeanr display_datadata feature_namesgetattr op_historynparrayrange ValueErrorname issubclasstypestrrcollapsed_instancesappend prev_shapepdSeriesindexr mincopyargsortr rscipyspatialdistance squareformcluster hierarchycophenetrrdeletearangejoinargmaxsumrpltgcagcfset_size_inchessqrtaxvlinebarhprimary_color_negativeprimary_color_positive set_ytickssplitget_xlimget_window_extent transformedfiguredpi_scale_transinvertedwidthtextaxhlineroundint Exceptionxaxisset_ticks_positionyaxisspines set_visible tick_paramsget_ylimset_xlim set_xlabellegendget_majorticklabels set_colortick_labels_colorrmax set_clip_onzipplotshow)H shap_values max_displayorderrclustering_cutoff show_dataaxrstylerJemsg cohort_labels cohort_expsiexpfeaturesrVpartition_treerXrOop transformsxlabel cohort_sizes num_features orig_inds orig_values feature_order clust_orderdistind1ind2_ feature_indsy_posfeature_names_newinds full_printmax_indnum_cut yticklabelsfig row_heightnegative_values_presentpatterns total_width bar_width ypos_offsetjtxlenbboxrbbox_to_xscaleindxminxmaxyminymaxx_buffer tick_labels feature_posylinesxlines xlines_min xlines_max ct_line_poslinexlineylinexvlinessH R/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/shap/plots/_bar.pybarrsp KE+{++{# K ) )%% K & & < o(Mw~~'(KK(#{++@ D/ ! syy>Q  WW\\!_KN >  ;q>#7#7 7uD & &)"/:!n.I.I.U{1~**[fgh[i[n[nHN00M QtD u #! ~## $ )^-A-A!-D-IH '2!n&?&?J XXeC OQ^_M c-00{Q7{UV9WWX\mm.99L9LQ9OQ_-`*ds6{+A1d7Ovag6OYYvtQ7FdOy6O!$ ,  9 >!+.L IIc,'B /E t9>  $ $]47%; <t$Dt!]1%5t$DEJ:"$!((4))BFF;$7$<$>!H{* 3;(/&.661c6Nf%>>!H{* 3;(.&.66# 4<  1q5 c& L!>s8}%A %4"%hk"2HK5&HH)HH'IIg""5)IIe  ' &%%e,NN3"N%JD$JD$t t#H D8OTH_5 D$/* MM&2M& 6{Q 2 ((..0K < A  !8!89!!jj/ *;G[[] d!#J (J,CDKtVZ{[^bb   %4$;/ / D[A  "\2CX%N N &&  zz+YvzF /LE5%J$;RAS 5 [(R:"5RBRAS 5 [(R:"5RDSRGS5 [(R:"5RDSRGS5 [(RH"S5 U(a[(RJ"5 ggs snfs snf![6a GMf=f)Na4The behaviour of this function will change in a future version to the new plotting API. Use `shap.plots.bar` to opt-in to the new behaviour and silence this warning. For more information on using the new API, see: https://shap.readthedocs.io/en/latest/example_notebooks/api_examples/migrating-to-new-api.htmlr rr!r/r0)r2r&r7r8r#rBrCr:FrDz#SHAP value (impact on model output))&warningswarnDeprecationWarningr rIrdrerMrfrOrYrZr[rQr r`rgrirrrrvr|r~r}yticksrrrLrbrwset_yticklabelsrrrrrrr) rrrVrrrrrrrrs r bar_legacyrs MM i   KE(BII&&   0M??eCP[L\F]!^F]&"3c!f"s8}%A %4"%hk"2HK5& K      }/%7#hk:JJ K   }/ 0  GGIk*GGIOO&&x0GGIOO&&v.GGIW))%0GGIU''.JJ45    a"_"   sM-M="M  MM)NNNT)"rtypingrmatplotlib.pyplotpyplotrvnumpyrYpandasrdrjrrrutilsrrutils._exceptionsr _labelsr _styler _utilsr rrrr _explanationrrrrrrsZ  #-.__, // tn Ar