6DhP"SSKJr SSKJrJr SSKJr SSKJ r SSK J r \R"S5r \R"S5r\R"S5rS rSS jrSS jrS rS rSrSrSrSSjrSrSrSrSSjrg))Number) exceptionsoptional_importsN) graph_objs) make_subplotspandasnumpyz scipy.statsc[RU[5n[RU5n[R U5n[R USSS9n[R USSS9n[R USSS9nXe- nSU-n[RXXX- :5n [R XXh-:*5n UUUUUU U S .$) z. Calculate statistics for use in violin plot. 2linear) interpolationlowerKhigher?)minmaxq1q2q3d1d2)npasarrayfloatrr percentile) dataxvals_minvals_maxrrriqr whisker_distrrs O/var/www/html/env/lib/python3.13/site-packages/plotly/figure_factory/_violin.py calc_statsr% s 4AvvayHvvayH q"H 5B q"G 4B q"H 5B 'C9L )*+ ,B )*+ ,B c$[[U55Vs/sH3nSSRX5-S-SRX5-S-PM5 nn[R"UUSSUSU[R R SUS S 9S SS 9 $s snf) z? Produces a sideways probability distribution fig violin plot. z (pdf(y), y)=({:0.2f}z, )linestonextxg?spline)widthcolorshapetext) rymodenamer1fill fillcolorline hoverinfoopacity)rangelenformatrScatterscatterLine)rr2r6 linecolorir1s r$make_half_violinrB)s s1v A )**140047):J:J14:PPSVV             $ $3ix $ P    s:B c [R"UU*U- /[U5-[RR USS9SSSSS9$)z* Returns a rugplot fig for a violin plot. z line-ew-open)r/symbolmarkersr+Fr2)r2rmarkerr3r4 showlegendr8)rr=r;r>Marker)valspdf_maxdistancer/s r$make_violin_rugplotrL@sU     8h  #d) +!!((u^(L   r&c p[R"SS/X/SS[RRSSS9S9$)z7 Returns the scatterplot fig of most of a violin plot. rr+r*r rgb(0,0,0)r.r/)rr2r4r3r7)rr=r>r?)rrs r$make_non_outlier_intervalrPOsB    a& (      $ $3l $ C  r&c [R"SS/X/SSRU5-SSRU5-/S[RR SSS9S S 9$) z8 Makes the upper and lower quartiles for a violin plot. rzlower-quartile: r(zupper-quartile: r*rNrOr1)rr2r1r3r7r8)rr=r<r>r?)rrs r$make_quartilesrS\so    a& ( !1!1"!5 5 !1!1"!5 5     $ $1L $ A  r&c n[R"S/U/SSRU5-/S[SSS9SS 9$) z3 Formats the 'median' hovertext for a violin plot. rzmedian: r(rEsquarezrgb(255,255,255))rDr/r1)rr2r1r3rFr8)rr=r<dict)rs r$ make_medianrWmsH    # $9++B// 0 8+=>  r&c N[RRUUSSSSSSS9nU$)z% Makes the x-axis for a violin plot. Fr+)titler:showgridzerolineshowlinemirrorticksshowticklabels)rlayoutXAxis) xaxis_title xaxis_rangexaxiss r$ make_XAxisre{s>    # # $ E Lr&c N[RRUSSSSSSSS9nU$)z% Makes the y-axis for a violin plot. TrRF)rYr_ autorangeticklenr\r[rZr])rr`YAxis) yaxis_titleyaxiss r$ make_YAxisrls>    # # $ E Lr&c v[RU[5n[U5Sn[U5Sn[U5Sn[U5Sn[U5Sn[U5Sn[U5Sn [R U5n [R X4S5n U "U 5n [RU 5n U(aS U -S - OS nU *U- S - U S -/n[U *XS 9[XUS 9[X5[XW5[U5/nU(aUR[X XS95 UU4$)z7 Refer to FigureFactory.create_violin() for docstring. rrrrrrrdg@ rg?)r6)rKr/)rrrr% scipy_stats gaussian_kdelinspacerrBrPrSrWappendrL)rIr6rugplotr r!rrrrrpdfxxyymax_pdfrK plot_xrange plot_datas r$ violinplotr{s? ::dE "D$&H$&H D $ B D $ B D $ B D $ B D $ B  " "4 (C X -B RBffRjG'.g #AH8h&,gm?M  Jr&c /n XHn X;dM U RU 5 M U(aU R5 U Hn X;dM [R"S5e UR U/5n[ U 5n[ SUSSSS9n[R"US[R5n[R"US[R5n/nUHnURUU5 M [U5n[U5n[U 5Hunn[RURU5U[ 5nUUU- UU- - n[R""UUU5n[%USR'U5US 9unn[(R*"5nUHnUR-USUS-5 M US R/S R'US-5[1U UU505 M [(R2"S/S/S [5S UUSUS/SUS//SS9SS9n UR-U SU5 US R/SR'S5[7S505 US R/U SSSUU S9 U$)zf Refer to FigureFactory.create_violin() for docstring. Returns fig for violin plot with colorscale. zRAll values/groups in the index column must be represented as a key in group_stats.r~TrFrrzrgb{}rr`rrE)sizecmincmax colorscale showscale)rr2r3rFrGrr+rr)rsrr PlotlyErrorrr;rclrs color_parser unlabel_rgbrrrrrrrfind_intermediate_colorr{r<rrrrrer=rVrl)!rrrrrrrtrrr.rYrr4grouprrrlowcolor highcolorgroup_stats_valueskey max_value min_valuerrrIintermedintermed_colorrzryr`r trace_dummys! r$violin_colorscalers*J"  !   d ##   #((+  |n %B JA  QTePU C   D,<,<=H!!&)T-=-=>I!!+c"23&'I&'I:&2zz",,r*;7? Oi/I 4IJ55h 8T!+ GNN>:G"  ;""$D   T1a!e , H    a!e $jA &L M '$$$ # # F1IF1I7   K[!Q'M)**1-z"~>?M  Jr&c /n XHn X;dM U RU 5 M U(aU R5 U Hn X;dM [R"S5e UR U/5n[ U 5n[ SUSSSS9n[U 5Hunn[RURU5U[5n[UUUUS9unn[R"5nUHnURUSUS-5 M USR!S R#US-5[%U UU505 M USR!S R#S5['S 505 USR!U SS SUU S 9 U$)r}zMIf colors is a dictionary, all the group names must appear as keys in colors.r~TrFrrr`rrr+rr)rsrrrrr;rrrrrrr{rrrrr<rerl)rrrrrrrtrrr.rYrr4rrrrrrrIrzryr`rs r$ violin_dictrns*J"  !   d ##   (("  |n %B JA  QTePU C:&2zz",,r*;7?!+DF2JPW!X ;""$D   T1a!e , H    a!e $jA &L M 'M)**1-z"~>?M  Jr&c [U[5(a[R"US5n O[R"US5n UGcf[U[ 5(aR[ U5S::a[R"S5e[SU55(d[R"S5e[(ah[U[RRR5(a5Uc[R"S5eXRR5n[!X SUS9up["R$"U S["R&R)S S 9USU [+S U 5[-S 5S S 9 nUSR/[SSS S95 ["R0"XS9nU$[U[RRR5(d[R"S5eUc[R"S5eUSLaC[U [5(a[3UUUU UUUUUU U 5 nU$[5UUUU UUUUUU U 5 nU$[U [5(a[R"S5e[ U 5S:a[R"S5e[U[5(d[R"S5e[7UUUU UUUUUU U 5 nU$)a **deprecated**, use instead the plotly.graph_objects trace :class:`plotly.graph_objects.Violin`. :param (list|array) data: accepts either a list of numerical values, a list of dictionaries all with identical keys and at least one column of numeric values, or a pandas dataframe with at least one column of numbers. :param (str) data_header: the header of the data column to be used from an inputted pandas dataframe. Not applicable if 'data' is a list of numeric values. :param (str) group_header: applicable if grouping data by a variable. 'group_header' must be set to the name of the grouping variable. :param (str|tuple|list|dict) colors: either a plotly scale name, an rgb or hex color, a color tuple, a list of colors or a dictionary. An rgb color is of the form 'rgb(x, y, z)' where x, y and z belong to the interval [0, 255] and a color tuple is a tuple of the form (a, b, c) where a, b and c belong to [0, 1]. If colors is a list, it must contain valid color types as its members. :param (bool) use_colorscale: only applicable if grouping by another variable. Will implement a colorscale based on the first 2 colors of param colors. This means colors must be a list with at least 2 colors in it (Plotly colorscales are accepted since they map to a list of two rgb colors). Default = False :param (dict) group_stats: a dictionary where each key is a unique value from the group_header column in data. Each value must be a number and will be used to color the violin plots if a colorscale is being used. :param (bool) rugplot: determines if a rugplot is draw on violin plot. Default = True :param (bool) sort: determines if violins are sorted alphabetically (True) or by input order (False). Default = False :param (float) height: the height of the violin plot. :param (float) width: the width of the violin plot. :param (str) title: the title of the violin plot. Example 1: Single Violin Plot >>> from plotly.figure_factory import create_violin >>> import plotly.graph_objs as graph_objects >>> import numpy as np >>> from scipy import stats >>> # create list of random values >>> data_list = np.random.randn(100) >>> # create violin fig >>> fig = create_violin(data_list, colors='#604d9e') >>> # plot >>> fig.show() Example 2: Multiple Violin Plots with Qualitative Coloring >>> from plotly.figure_factory import create_violin >>> import plotly.graph_objs as graph_objects >>> import numpy as np >>> import pandas as pd >>> from scipy import stats >>> # create dataframe >>> np.random.seed(619517) >>> Nr=250 >>> y = np.random.randn(Nr) >>> gr = np.random.choice(list("ABCDE"), Nr) >>> norm_params=[(0, 1.2), (0.7, 1), (-0.5, 1.4), (0.3, 1), (0.8, 0.9)] >>> for i, letter in enumerate("ABCDE"): ... y[gr == letter] *=norm_params[i][1]+ norm_params[i][0] >>> df = pd.DataFrame(dict(Score=y, Group=gr)) >>> # create violin fig >>> fig = create_violin(df, data_header='Score', group_header='Group', ... sort=True, height=600, width=1000) >>> # plot >>> fig.show() Example 3: Violin Plots with Colorscale >>> from plotly.figure_factory import create_violin >>> import plotly.graph_objs as graph_objects >>> import numpy as np >>> import pandas as pd >>> from scipy import stats >>> # create dataframe >>> np.random.seed(619517) >>> Nr=250 >>> y = np.random.randn(Nr) >>> gr = np.random.choice(list("ABCDE"), Nr) >>> norm_params=[(0, 1.2), (0.7, 1), (-0.5, 1.4), (0.3, 1), (0.8, 0.9)] >>> for i, letter in enumerate("ABCDE"): ... y[gr == letter] *=norm_params[i][1]+ norm_params[i][0] >>> df = pd.DataFrame(dict(Score=y, Group=gr)) >>> # define header params >>> data_header = 'Score' >>> group_header = 'Group' >>> # make groupby object with pandas >>> group_stats = {} >>> groupby_data = df.groupby([group_header]) >>> for group in "ABCDE": ... data_from_group = groupby_data.get_group(group)[data_header] ... # take a stat of the grouped data ... stat = np.median(data_from_group) ... # add to dictionary ... group_stats[group] = stat >>> # create violin fig >>> fig = create_violin(df, data_header='Score', group_header='Group', ... height=600, width=1000, use_colorscale=True, ... group_stats=group_stats) >>> # plot >>> fig.show() rgbrzRIf data is a list, it must be nonempty and contain either numbers or dictionaries.c3B# UHn[U[5v M g7f)N) isinstancer).0elements r$ create_violin..PsG$wz'622$sz0If data is a list, it must contain only numbers.zVdata_header must be the column name with the desired numeric data for the violin plot.rF )rr+r) rYrfontrrGr.rdrkrrk)r\r_r^)rr`zGError. You must use a pandas DataFrame if you are using a group header.zFThe colors param cannot be a dictionary if you are using a colorscale.rzHcolors must be a list with at least 2 colors. A Plotly scale is allowed.z,Your group_stats param must be a dictionary.)rrVrvalidate_colors_dictvalidate_colorslistr;rrallpdcoreframe DataFramevaluestolistr{rrr`FontrerlrFigurerrr)rrrrrrrtrrr.rY valid_colorsrzryr`rs r$ create_violinrsV&$00? ++FE:  dD ! !4yA~ ,,/ G$GGG ,,I 2*T277==#:#:;;" ,,'$++224D", OW"  """"''R'0R-R.   wtU5PRSTY> $ 7 788((    ((,  U ",--!  "  *  "  ,-- ,,* < 1$ ,,/ k400 ,,E$ CJr&)#1f77b4z rgb(0, 0, 0))r)rT) NNNFNTFiiXzViolin and Rug Plot)numbersrplotlyrr plotly.colorsrrplotly.graph_objsrplotly.subplotsr get_modulerrrpr%rBrLrPrSrWrerlr{rrrrr&r$rs/()  *  )))-8 8.  " ""$"N@FdNET     Pr&