6Dh׮SSKJrJr SSKJr SSKJr SSKJ r SSK J r \R"S5r /SQrSS /rS rS rS rS rSrSrSSjrg)) exceptionsoptional_importsN)utils) graph_objs) make_subplotspandas)scatter histogramboxcatseqc[U5n[U[5(d+[U[5(d[R "S5eUH.n[U[ 5(dM[R "S5e [US- 5H&nXXS-:dM[R "S5e /nUR[S5US/5 [US- 5H?n/nURX5 URXS-5 URU5 MA URXS- [S5/5 U$)a Returns a list of intervals for categorical colormaps Accepts a list or tuple of sequentially increasing numbers and returns a list representation of the mathematical intervals with these numbers as endpoints. For example, [1, 6] returns [[-inf, 1], [1, 6], [6, inf]] :raises: (PlotlyError) If input is not a list or tuple :raises: (PlotlyError) If the input contains a string :raises: (PlotlyError) If any number does not increase after the previous one in the sequence zZThe intervals_endpts argument must be a list or tuple of a sequence of increasing numbers.z-infrinf) len isinstancetuplelistr PlotlyErrorstrrangeappendfloat)endptslengthitemk intervalsintervals T/var/www/html/env/lib/python3.13/site-packages/plotly/figure_factory/_scatterplot.pyendpts_to_intervalsr! s:[F v ' ':ft+E+E$$ %   dC (( 6A:  91u %((  %-34vz"AH OOFI & OOFq5M *   X & # &!,eEl;<c/nUSH4nUSS:XdMURSRUSSS55 M6 UHnSUS US 'M g) z@ Hides tick labels for box plots in scatterplotmatrix subplots. datatyper xaxis{}xaxisrNFlayoutshowticklabels)rformat)fig boxplot_xaxestracer's r "hide_tick_labels_from_box_subplotsr.BsiMV =E !  !1!1%.2D!E F  16H e-.r"c >^[(d [S5e[U[RRR 5(d[ R"S5e[UR5S::a[ R"S5eU[;a)[ R"SR[55eU[;a[ R"S5eST;a5/SQn[U4S jU55(a[ R"S 5eg g ) a Validates basic inputs for FigureFactory.create_scatterplotmatrix() :raises: (PlotlyError) If pandas is not imported :raises: (PlotlyError) If pandas dataframe is not inputted :raises: (PlotlyError) If pandas dataframe has <= 1 columns :raises: (PlotlyError) If diagonal plot choice (diag) is not one of the viable options :raises: (PlotlyError) If colormap_type is not a valid choice :raises: (PlotlyError) If kwargs contains 'size', 'color' or 'colorscale' z# UH oTS;v M g7f)r0N).0paramkwargss r -validate_scatterplotmatrix..sG6FUx((6FszYour kwargs dictionary cannot include the 'size', 'color' or 'colorscale' key words inside the marker dict since 'size' is already an argument of the scatterplot matrix function and both 'color' and 'colorscale are set internally.N)pd ImportErrorrcoreframe DataFramerrrcolumns DIAG_CHOICESr*VALID_COLORMAP_TYPESany)dfindexdiag colormap_typer8FORBIDDEN_PARAMSs ` r validate_scatterplotmatrixrIPs  2 M  b"''--11 2 2$$ )   2::!$$    <$$ 3 : :< H  00$$   6: G6FG G G((&   Hr"c ~[U5n[XSS9n /n UHn UHn X:XaUS:Xa[R"U SS9n O~X:XaUS:Xa[R"U SSS9n O\SU;a3X7SS '[R "SXS SS .UD6n U R U 5 O#[R "SU U S [US 9SS .UD6n U R U 5 M M Sn[SUS-5nUH&nUHnU RXUU5 US- nM M( [U5H7nSRX-U- S-U-5nU SURUUS9 M9 [U5H2nSRSUU--5nU SURUUS9 M4 U SRXEUSS9 [U 5 U $)zs Refer to FigureFactory.create_scatterplotmatrix() for docstring Returns fig for scatterplotmatrix without index Frowscols print_gridr )x showlegendr N)ynamerPr0r1markersrOrQmoderP)r1rOrQrUr0rPrrr&r(titleyaxis{}TheightwidthrXrPr5) rrr HistogramBoxScatterrdictr append_tracer*updater.) dataframeheadersrFr1r[r\rXr8dimr+ trace_listlistylistxr- trace_indexindicesy_indexx_indexj xaxis_key yaxis_keys r scatterplotrps i.C Su =CJET[%8",,uG.tu}"TeLv%/38$V,&..yUNTE%%e,&..&##(  ! E   e $+0KAsQwGG   Z4gw G 1 K 3Z$$ci3%6%:Q%>?  H i ''gaj'93Z$$Q#']3  H i ''gaj'9M5TR&s+ Jr"c  U n [U5n[XSS9n/nSnUGH-nUGH"n0nUHnUU;dM /UU'M [UR55GHn/n/n[ [U55H6nUUU:XdMUR UU5 UR UU5 M8 US:XaUU:Xa(US:Xa"[ R"U[U US9SS9nGOCUU:Xa)US :Xa#[ R"US [U US9SS 9nGOS U ;a/X  K!8!>Q? 1 K3Z$$ci3%6%:Q%>?  H i ''gaj'93Z$$Q#']3  H i ''gaj'9's+ { H eg    H FuQUV r"c  Z[US[5(GaS/n UHnX;dM U RU5 M [U 5nU S:Xah[R "U [R 5n[R"USUSU5n[R "U[R5nU S:XaU n[U5n[UUSS9n/nSnUGHGnUGH<n0n UHnX;dM /X'M Sn[U R55GHn/n/n[[U55H6nUUU:XdMURUU5 URUU5 M8 US:XaUU:Xa(US:Xa"[R"U[WUS9S S 9nGOEUU:Xa)US :Xa#[R "US [WUS9S S 9nGOSU ;a/X [U5H8nSR'UU-U- S-U-5n!USU!R)UUS9 M: [U5H2nSR'SUU--5n"USU"R)UUS9 M4 [+U5 US:XaUSR)UUUS SS9 U$US :XaUSR)XEUS S9 U$USR)XEUS S9 U$U n[U5S::aURUS5 /n&[[U55H+n'U&RS[U5S- - U'-UU'/5 M- [U5n[UUSS9n/nSnUGHnUGHnUS:XaUU:Xa(US:Xa"[R"U[USS9SS 9nGOUUU:Xa(US :Xa"[R "U[USS9SS9nGO'SU ;a:X.>?C--AA =C%%c4>>:E E !E)n35A  E"$&!&D424)/'"#4#9#9#;)BCI M) $ + +'!* + =sA!((cAg7I M) $ + +'!* + = +3/ ;  M  ! J U] M %D ! J M %D ! J 11&9I%''$2B2BCmmCFCFC NC))#t~~>% i.CSsuECJL"&E&(O$-9;H 6%.F$-$& $& !&s:!7A'{Z]IhqkII ) 0 0q : ) 0 0q :"8 (1, %T[5H(2(<(<&/+/eFm+D/3)" #(5.tu}(2&/)-+/eFm+D/3 )"$,v#5?C8$4V$,6,>,>-&*3*3-6-0]37 -& +1 -&E-7,>,>-&*3*3-6-0]/3U6]/S37 -&+1-&E!&T[5H(2(<(<&/+/eFm+D/4)" #(5.tu}(2&/)-+/eFm+D/4 )"$,v#5?C8$4V$,6,>,>-&*3*3-6-0]38 -& +1 -&E-7,>,>-&*3*3-6-0]/3U6]/S38 -&+1-&E:?H 6!c%j1n5%'F! k%.l%%o6 A%L}'#BKAsQw'G"&G$-((&{3CMBGW%. 1$K '#3Z%,,cCi3->-BQ-FG H i(//gaj/A 3Z%,,Q#']; H i(//gaj/A  /s 3{"H $$!## % H $$!e% H $$!e% E5zQ U1X&Ec%j) cSZ!^4t;U4[IJ*i.CSsuECJL"&E#q(!UN1D$.$8$8"'580DQV%E$un45=$.NN"'580DQV%E (61;?x 0 8@Dx 0 =(2(:(:)"&+&+)2/4 )" '- )")3(:(: )"&+&+)2+/-1.83826 ,& 05 )"'- )""UN1D$.$8$8"'580DQV%E$un45=$.NN"'580DQV%E (61;?x 0 8@Ex 0 =(2(:(:)"&+&+)2/4 )" '- )")3(:(: )"&+&+)2+/-1.83827 ,& 05 )"'- )"%%e, A%L['#`KAsQw'G"&G$$Z %-BQ-FG H i(//gaj/A 3Z%,,Q#']; H i(//gaj/A  /s 3{"H $$!## % H $$!e% H $$!e% r"c  ^U c/n U c/n U c/n [XX940U D6 [T[5(a[R"TS5mO[T[ 5(aST;aST;aT[R R5;aA[R"SR[R R555e[R"[R T5mTS/TS/-m[R"TS5mO[R"TS5mU(duUHnU RU5 M U H.nU RXRR55 M0 [ R""U 5 [%XX6XEU40U D6nU$X;a[R"S5eXRR5n UHnX:wdM U RU5 M U H.nU RXRR55 M0 [ R""U 5 [ R&"U 5 [T[5(aRTH3n[)U4SjU 55(aM[R"S5e [+U U UUUUUUU UTU 4 0U D6nU$[-U U UUUUUUU UTU 4 0U D6nU$) a  Returns data for a scatterplot matrix; **deprecated**, use instead the plotly.graph_objects trace :class:`plotly.graph_objects.Splom`. :param (array) df: array of the data with column headers :param (str) index: name of the index column in data array :param (list|tuple) endpts: takes an increasing sequece of numbers that defines intervals on the real line. They are used to group the entries in an index of numbers into their corresponding interval and therefore can be treated as categorical data :param (str) diag: sets the chart type for the main diagonal plots. The options are 'scatter', 'histogram' and 'box'. :param (int|float) height: sets the height of the chart :param (int|float) width: sets the width of the chart :param (float) size: sets the marker size (in px) :param (str) title: the title label of the scatterplot matrix :param (str|tuple|list|dict) colormap: 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 colormap is a list, it must contain valid color types as its members. If colormap is a dictionary, all the string entries in the index column must be a key in colormap. In this case, the colormap_type is forced to 'cat' or categorical :param (str) colormap_type: determines how colormap is interpreted. Valid choices are 'seq' (sequential) and 'cat' (categorical). If 'seq' is selected, only the first two colors in colormap will be considered (when colormap is a list) and the index values will be linearly interpolated between those two colors. This option is forced if all index values are numeric. If 'cat' is selected, a color from colormap will be assigned to each category from index, including the intervals if endpts is being used :param (dict) **kwargs: a dictionary of scatterplot arguments The only forbidden parameters are 'size', 'color' and 'colorscale' in 'marker' Example 1: Vanilla Scatterplot Matrix >>> from plotly.graph_objs import graph_objs >>> from plotly.figure_factory import create_scatterplotmatrix >>> import numpy as np >>> import pandas as pd >>> # Create dataframe >>> df = pd.DataFrame(np.random.randn(10, 2), ... columns=['Column 1', 'Column 2']) >>> # Create scatterplot matrix >>> fig = create_scatterplotmatrix(df) >>> fig.show() Example 2: Indexing a Column >>> from plotly.graph_objs import graph_objs >>> from plotly.figure_factory import create_scatterplotmatrix >>> import numpy as np >>> import pandas as pd >>> # Create dataframe with index >>> df = pd.DataFrame(np.random.randn(10, 2), ... columns=['A', 'B']) >>> # Add another column of strings to the dataframe >>> df['Fruit'] = pd.Series(['apple', 'apple', 'grape', 'apple', 'apple', ... 'grape', 'pear', 'pear', 'apple', 'pear']) >>> # Create scatterplot matrix >>> fig = create_scatterplotmatrix(df, index='Fruit', size=10) >>> fig.show() Example 3: Styling the Diagonal Subplots >>> from plotly.graph_objs import graph_objs >>> from plotly.figure_factory import create_scatterplotmatrix >>> import numpy as np >>> import pandas as pd >>> # Create dataframe with index >>> df = pd.DataFrame(np.random.randn(10, 4), ... columns=['A', 'B', 'C', 'D']) >>> # Add another column of strings to the dataframe >>> df['Fruit'] = pd.Series(['apple', 'apple', 'grape', 'apple', 'apple', ... 'grape', 'pear', 'pear', 'apple', 'pear']) >>> # Create scatterplot matrix >>> fig = create_scatterplotmatrix(df, diag='box', index='Fruit', height=1000, ... width=1000) >>> fig.show() Example 4: Use a Theme to Style the Subplots >>> from plotly.graph_objs import graph_objs >>> from plotly.figure_factory import create_scatterplotmatrix >>> import numpy as np >>> import pandas as pd >>> # Create dataframe with random data >>> df = pd.DataFrame(np.random.randn(100, 3), ... columns=['A', 'B', 'C']) >>> # Create scatterplot matrix using a built-in >>> # Plotly palette scale and indexing column 'A' >>> fig = create_scatterplotmatrix(df, diag='histogram', index='A', ... colormap='Blues', height=800, width=800) >>> fig.show() Example 5: Example 4 with Interval Factoring >>> from plotly.graph_objs import graph_objs >>> from plotly.figure_factory import create_scatterplotmatrix >>> import numpy as np >>> import pandas as pd >>> # Create dataframe with random data >>> df = pd.DataFrame(np.random.randn(100, 3), ... columns=['A', 'B', 'C']) >>> # Create scatterplot matrix using a list of 2 rgb tuples >>> # and endpoints at -1, 0 and 1 >>> fig = create_scatterplotmatrix(df, diag='histogram', index='A', ... colormap=['rgb(140, 255, 50)', ... 'rgb(170, 60, 115)', '#6c4774', ... (0.5, 0.1, 0.8)], ... endpts=[-1, 0, 1], height=800, width=800) >>> fig.show() Example 6: Using the colormap as a Dictionary >>> from plotly.graph_objs import graph_objs >>> from plotly.figure_factory import create_scatterplotmatrix >>> import numpy as np >>> import pandas as pd >>> import random >>> # Create dataframe with random data >>> df = pd.DataFrame(np.random.randn(100, 3), ... columns=['Column A', ... 'Column B', ... 'Column C']) >>> # Add new color column to dataframe >>> new_column = [] >>> strange_colors = ['turquoise', 'limegreen', 'goldenrod'] >>> for j in range(100): ... new_column.append(random.choice(strange_colors)) >>> df['Colors'] = pd.Series(new_column, index=df.index) >>> # Create scatterplot matrix using a dictionary of hex color values >>> # which correspond to actual color names in 'Colors' column >>> fig = create_scatterplotmatrix( ... df, diag='box', index='Colors', ... colormap= dict( ... turquoise = '#00F5FF', ... limegreen = '#32CD32', ... goldenrod = '#DAA520' ... ), ... colormap_type='cat', ... height=800, width=800 ... ) >>> fig.show() rgb#zlIf 'colormap' is a string, it must be the name of a Plotly Colorscale. The available colorscale names are {}rrzXMake sure you set the index input variable to one of the column names of your dataframe.c3,># UH oT;v M g7f)Nr5)r6rEr~s r r9+create_scatterplotmatrix..GsE*H,*szEIf colormap is a dictionary, all the names in the index must be keys.)rIrr`rvalidate_colors_dictr PLOTLY_SCALESr|rrr*colorscale_to_colorsvalidate_colorsrvaluestolistrvalidate_dataframerpvalidate_indexallrr)rDrErrFr[r\r1rXr~rGrcrdr}r8rRfigurekeys ` r create_scatterplotmatrixrDsH  r$HH(D!!,,Xu= Hc " "uH'<HAT 4--224 4((%vd&8&8&=&=&?@ 001C1CH1MNH  } ~5H''%8''%8 D NN4 D   RX__335 6   + F5 DJ   ?((  Y%%,,. D}t$D   RX__335 6   + Z( h % %E*EEE$00( &FM'FMr") NNr rzScatterplot MatrixNr NNN)plotlyrr plotly.colorscolorsrplotly.figure_factoryrplotly.graph_objsrplotly.subplotsr get_moduler;rArBr!r.rIrprrrr5r"r rs/'()  *. u~2j 7>B6rXv\B       kr"