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The keys you need are {}c$|tk\rd}|Sd}|S)NTF)THRES_FOR_FLIPPED_FACET_TITLES)numflippeds ^/var/www/dash_apps/app1/venv/lib/python3.12/site-packages/plotly/figure_factory/_facet_grid.py _is_flippedr"s# ,, N Nct|tr||}|St|trdj||}|S|}|S)Nz{}: {}) isinstancedictstrformat)original_label facet_labels facet_varlabels r _return_labelr$*sL,%^, L L# & >: L Lrcltdddtdddddj|tdd  }|S) Nrleftmiddle{Gz?Fpaperz factor({}) #000000sizecolor textanglexanchoryanchorxy showarrowxrefyreftextfont)rLEGEND_ANNOT_Xr) color_name legend_titles r_legend_annotationr=4sD       , r + L rcnd|dz |zz |z }|s:d}d}|dk(r|dz ||zzd|zz} d} d} nX|dk(rS|dz ||zzd|zz} d} d } n=|dk(rd}d }|dz ||zzd|zz} d } d } n|dk(rd }d}|dz ||zzd|zz} d } d} t   dddt|tdt } | S)Nr centerr'colr r(rrowZbottom?r&Fr)r*r,r/)rrAXIS_TITLE_COLOR) r8lane num_of_lanesSUBPLOT_SPACINGrow_colrlr1r2r3r4r0annotation_dicts r_annotation_dictrMDs2 lQ/ 1 1lCA  e a/12S1W*CM(rc 8|dvrd|d<tdd|i||d<|S)Nrrmarkersmoder.marker)r)trace trace_typer. kwargs_markers r_make_trace_for_scatterr~s/--!f K  I1q519a!a%! ("a$- 3C& IE    '0K!Oa!e#,K+#&EE  7$ `  U y Iy+A BC=MNTQa 0NN ]))+  ]))+  ^**, )* 5A  Iu$-j$95  50%@E ",JI||**,1C0DD).uZ/@I/M)N $!!+!*#'hy.A#B!+ ! !/q 1 .q 1 $!!+!*#'hy.A#B', ! + !!&a %a%*c %*c 3z8I+>BOE$$UIM9q=I?J@>)"9-/?E &&(!%M'+$)$0  Y5 l"*Y"79I9UE    )+#!(  qA F  Q O LL+,q!Z6H)EsM> N&N-,N-clt||dd||d}g}|sW|sUtd| t|||dd|}|r|||d<|r|||d<t|| ||fi|}|j|dd|r|r|s|rt |j |r|n|}t |D]\}}td| t|||dtd  d|}|r |d||d<|r |d||d<t|| ||fi|}|j||r|dznd|rdn|dz|r| n| }t|d ||r|n|}|jt||r||z n|dz|r|n|||rd nd| ||fS|r|rt |j ||g}|Dcic] }|d |d }}||j}||j}t |D](\} }!t |D]\}"}# ||!|#f}|jjgdgk7r,td| t|||| d k(td  d|}ntd| dd|}|r|||d<|r|||d<t|| ||fi|}|j|| dz|"dz| d k(st||"| |}|jt||"dz||d| t|| | |}|jt|| || z ||d | +||fScc}w#t$r!tjgdg|||g}Y>wxYw)NTFr)r. colorscale showscalerbryr3r4r gffffff?)r3)r.rrcolorbarrrAr@)rrr)rbrrrz)rrr~rrrrr$rlrMrrrrrr)$rr3r4rrr;rrrrrr|rorprrIrrr}rmrr{rrrlabelsr#rrrrrrrrrs$ r_facet_grid_color_numericalr`sN,   *( CK Y bnTR   AE#J AE#J' :r*~ 1>  1%)Y9rzzy)iPQ!/2% HAu Z.'"!D\   E"1Xa[c "1Xa[c +z2j>5BE    q1uqy!a!e *3%8HF!a&y)iE    '0K!Oa!e#,K+#&EE(  9% P  C y Iy+A BC=MNTQa 0NN ]))+  ]))+ )* 59  Iu$-j$9-  50%@E <<&&(-?,@@ '#"$Z.'/'0A~%)D\   ' E!SjUSlSE!&qE#J!&qE#J/:r*~9F   A y1}E>)"9-/?E &&(!%M'+$)$0  I- \"*Y"79I9UE    y))+#!(  a9 v   O LL+,q!Z6H)EsL-L  &L32L3c t||dd| | d}g}|sW|sUtd| t||dd|}|r|||d<|r|||d<t|| |fi|}|j|d d ||fS|r|r|s|rt |j |r|n|}t |D]\}}td| t||dd|}|r |d ||d<|r |d ||d<t|| |fi|}|j||r|d znd |rd n|d zt|d |r|n||r|n|}|jt||r||z n|d z|r|n|| |rd nd | ||fS|rL|rIt |j ||g}|Dcic] }|d |d  }}||j}||j}t |D]\}}t |D]\}} ||| f}td| t||dd|}|r|||d<|r|||d<t|| |fi|}|j||d z|d z|d k(skt||||}|jt||d z|| d | t||||}|jt|||z || d | ||fScc}w#t$rtjddgg||g }YwxYw)NTFrra)r.rarr3r4r rrAr@rrrz)rrr~rrrrr$rlrMrrrr)!rr3r4rrrrrrr|rorprrIrrr}rmrr{rrrr#rrrrrrrrrs! r _facet_gridrs(   *( CK Y lv1FG   AE#J AE#J' :| /<  1%z  w IyYrzzy)iPQ!/2" HAu,]65JKE "1Xa[c "1Xa[c +z<3@E    q1uqy!a!e "a$- 3C& IE    '0K!Oa!e#,K+#&EE  3" r  k y Iy+A BC=MNTQa 0NN ]))+  ]))+ )* 5-  Iu$-j$9  5I0%@E#lv9NO# !&qE#J!&qE#J/:|7D   A y1}E>)"9-/?E &&(!%M'+$)$0  / D"*Y"79I9UE    )+#!(  I- ^  g O ILL4,!QLHEIs?J,J11%KKc ts tdt|tjst j dt j|| dvr|r|st j d|||||fD] }| || | dvrd} | dvrt j d | tvr(t j d jt| d k(rd }nd }d|vr|d}ni}|jdd}|jdd|}d|vr |rd|d<nd|d<d|vr|sd|d<d|vr|s ddd|d<ni|d<|s|sd}nd}d}d}d}d}|rt||j}t|}t|trs||jD]]}||j!vs||jj#}t j t$j||rt||j}t|}t| trs||jD]]}|| j!vs||jj#}t j t$j|d}|rt||j&dt(s|rd}t|trVt+j,|d||jD])}||j!vst j dnIt*j.} i}d}!||jD]}|!t| k\rd}!| |!||<|!dz }!!t1||||||||||| | |||||||\}"}#nt||j&dt2rt|tryd}t+j,|d||jD])}||j!vst j dt1||||||||||| | |||||||\}"}#n?t|t4r8|}$t+j6|$t9|||||||$|||| | |||||||\}"}#nt|t(r|t*j:j!vrt*j:|}$n@t j d jt*j:j!t9|||||||$|||| | |||||||\}"}#nRt*j:d!}$t9|||||||$|||| | |||||||\}"}#nt=||||||||| | |||||||\}"}#| st?d"d#|z} | st?d"d#|z} "d$jA| | d%d&'|r|"d$jAtBd(d)*tE|d+}%tE|d,}&#jG|%|#jG|&||"d$d-<tH|"d$d.d/<tJ|"d$d.d0<d1|"d$d.d+<d|"d$d.d,<d2|"d$d.d3<|r3||"d$d-<|r)|rtM|}'|#jG|'d4|"d$d5d6<|#|"d$d7<|r|rtO|"tP||ggd8}(|"d$D]4}d9|vr|(d+jG|d:|vs!|(d,jG|6d})||fD*cgc]}*|*s|* c}*D]?}+t||+j#dt(s(||+D]}, tS|,d})A|)r*|(j!D]}-|(|-D] }.d;|"d$|.d<<| d=k(rd+d,g}/n| d>k(rd,g}/n| d?k(rd+g}/n| dk(rg}//D]}-g}0g}1|"d@D]T}2|2|- t|2|-dkDs|0jGtW|2|-|1jGt?|2|-Vd|0vr|0jYdd|0vrd|1vr|1jYdd|1vrtW|0}3t?|1}4t|3t2xrt|4t2}5|5rt[j\|3}3t[j^|4}4|3dA|4|3z zz}3|4dA|4|3z zz }4|-d+k(r%|r|}6nLt[j\|4|3z t`z }6n,|-d,k(r'|r|}6n"t[j\|4|3z t`z }6nd}6|(|-D]w}76|"d$|7dB<d|"d$|7dC<d|"d$|7dD<|s'd|"d$|7dE<dF|"d$|7dC<tb|"d$|7dG<td|"d$|7dH<dI|"d$|7dG<tfdJdK|"d$|7dL<y|-|/vs|"d$D]&}dMj|-|vs|5s|3|4g|"d$|dN<(|"S#t$rt j dwxYwcc}*w#tT$rYwxYw)Oai Returns figure for facet grid; **this function is deprecated**, since plotly.express functions should be used instead, for example >>> import plotly.express as px >>> tips = px.data.tips() >>> fig = px.scatter(tips, ... x='total_bill', ... y='tip', ... facet_row='sex', ... facet_col='smoker', ... color='size') :param (pd.DataFrame) df: the dataframe of columns for the facet grid. :param (str) x: the name of the dataframe column for the x axis data. :param (str) y: the name of the dataframe column for the y axis data. :param (str) facet_row: the name of the dataframe column that is used to facet the grid into row panels. :param (str) facet_col: the name of the dataframe column that is used to facet the grid into column panels. :param (str) color_name: the name of your dataframe column that will function as the colormap variable. :param (str|list|dict) colormap: the param that determines how the color_name column colors the data. If the dataframe contains numeric data, then a dictionary of colors will group the data categorically while a Plotly Colorscale name or a custom colorscale will treat it numerically. To learn more about colors and types of colormap, run `help(plotly.colors)`. :param (bool) color_is_cat: determines whether a numerical column for the colormap will be treated as categorical (True) or sequential (False). Default = False. :param (str|dict) facet_row_labels: set to either 'name' or a dictionary of all the unique values in the faceting row mapped to some text to show up in the label annotations. If None, labeling works like usual. :param (str|dict) facet_col_labels: set to either 'name' or a dictionary of all the values in the faceting row mapped to some text to show up in the label annotations. If None, labeling works like usual. :param (int) height: the height of the facet grid figure. :param (int) width: the width of the facet grid figure. :param (str) trace_type: decides the type of plot to appear in the facet grid. The options are 'scatter', 'scattergl', 'histogram', 'bar', and 'box'. Default = 'scatter'. :param (str) scales: determines if axes have fixed ranges or not. Valid settings are 'fixed' (all axes fixed), 'free_x' (x axis free only), 'free_y' (y axis free only) or 'free' (both axes free). :param (float) dtick_x: determines the distance between each tick on the x-axis. Default is None which means dtick_x is set automatically. :param (float) dtick_y: determines the distance between each tick on the y-axis. Default is None which means dtick_y is set automatically. :param (bool) show_boxes: draws grey boxes behind the facet titles. :param (bool) ggplot2: draws the facet grid in the style of `ggplot2`. See http://ggplot2.tidyverse.org/reference/facet_grid.html for reference. Default = False :param (int) binsize: groups all data into bins of a given length. :param (dict) kwargs: a dictionary of scatterplot arguments. Examples 1: One Way Faceting >>> import plotly.figure_factory as ff >>> import pandas as pd >>> mpg = pd.read_table('https://raw.githubusercontent.com/plotly/datasets/master/mpg_2017.txt') >>> fig = ff.create_facet_grid( ... mpg, ... x='displ', ... y='cty', ... facet_col='cyl', ... ) >>> fig.show() Example 2: Two Way Faceting >>> import plotly.figure_factory as ff >>> import pandas as pd >>> mpg = pd.read_table('https://raw.githubusercontent.com/plotly/datasets/master/mpg_2017.txt') >>> fig = ff.create_facet_grid( ... mpg, ... x='displ', ... y='cty', ... facet_row='drv', ... facet_col='cyl', ... ) >>> fig.show() Example 3: Categorical Coloring >>> import plotly.figure_factory as ff >>> import pandas as pd >>> mtcars = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/mtcars.csv') >>> mtcars.cyl = mtcars.cyl.astype(str) >>> fig = ff.create_facet_grid( ... mtcars, ... x='mpg', ... y='wt', ... facet_col='cyl', ... color_name='cyl', ... color_is_cat=True, ... ) >>> fig.show() z3'pandas' must be installed for this figure_factory.z"You must input a pandas DataFrame.rvz`You need to input 'x' and 'y' if you are you are using a trace_type of 'scatter' or 'scattergl'.NzIx, y, facet_row, facet_col and color_name must be keys in your dataframe.free)fixedfree_xfree_yrz?'scales' must be set to 'fixed', 'free_x', 'free_y' and 'free'.z'trace_type' must be in {}rgQ?gQ?ryr.r-r opacityg333333?radarkgreyr r\zrgb(31, 119, 180)z rgb(0, 0, 0)FrTrgbzxIf using 'colormap' as a dictionary, make sure all the values of the colormap column are in the keys of your dictionary.zlIf 'colormap' is a string, it must be the name of a Plotly Colorscale. The available colorscale names are {}RedsiXdrXrOzrgb(251, 251, 251))heightr]title paper_bgcolorzrgb(255, 255, 255)closest) plot_bgcolorr hovermoder3r4rlegendbgcolor borderwidthr topr2marginrr)r3r4rcrhcategoryrbrrrdatag?dtickticklenzeroline tickwidth gridwidth gridcolorrrPtickfontz{}axisrange)4r ImportErrorrrr PlotlyErrorrvalidate_dataframerVALID_TRACE_TYPESrpoplenrrrrkrCUSTOM_LABEL_ERRORilocrclrsvalidate_colors_dictDEFAULT_PLOTLY_COLORSrrrvalidate_colorscaler PLOTLY_SCALESrmaxupdate PLOT_BGCOLORrVrl LEGEND_COLORLEGEND_BORDER_WIDTHr=rtANNOT_RECT_COLORint ValueErrorminremovemathfloorceilMAX_TICKS_PER_AXIS GRID_WIDTH GRID_COLOR TICK_COLOR)8rr3r4rrr;r color_is_catrrrr]r|scalesdtick_xdtick_yrggplot2binsizekwargsrrrIr}rrrrrorp unique_keys show_legendvaldefault_colorsrrmrcolorscale_list x_title_annot y_title_annot legend_annot axis_labelsstring_number_in_datavvarrx_y axis_name fixed_axes min_ranges max_rangesr{ min_range max_rangerange_are_numbersr axis_titles8 rcreate_facet_gridrs@ B OPP b",, '$$%IJJ R --((:  1iJ7 ? 311::$$ M  **$$ ( / /0A B  [ 6x(   $$Wd3L JJxL ]" $%M& !$%M& ! %&)L # ]".81$EM& !$&M& ! .L% KKLL"Y-..01 ";/ & -)}++- Y.3355"$Y-"6"6"8"?"?"AK$001C1J1J;1WXX Y"Y-..01 ";/ & -)}++- Y.3355"$Y-"6"6"8"?"?"AK$001C1J1J;1WXX YK bn))!,c 2lK(D)))(E:j>002C(--/1(44;"&!;!;j>002CC//$21$5HSMFA  =  '  C,:++A. 7(D)" ))(E:j>002C(--/1(44;$A$$  #  !'$ [,Hd+"*((9#>#$$  #  !'$ [*Hc*t116688&*&8&8&BO$00''-vd.@.@.E.E.G'H $?#$$  #  !'$ [,#'"4"4V"<#>#$$  #  !'$ [.'               # [( S# +, C{*+MU"   # #C ( ^   # #C ( ) "q6'aQ' bgnn&q)3 /3 I,0) ##% >C(- > 3=H i(0 > >3Z 8 U 8 U 6  <I  [ 3ESz%#eCj/A*=!!#eCj/2!!#eCj/2 3j   d #j j   d #j  O  O &y&9 j v?   9-I ),I Y!67 7I Y!67 7Icz#E JJ I(=AS'STE#E JJ I(=AS'STEE%c* J16CM* %g .34CM* %i 049CM* %j 19:H j)+678H j))49CH j)+69CH j)+69:H j)+6'9H j)*5 " * 8} I??3'3.3D3r(s/')    *      !#  G' "GK)X8!*HfR[|J^          'cr