6Dh$SSKJrJr SSKJr SSKJr SSKJ r SSK r SSK J r \R"S5rSrSrS rS rS rS rS rSrSrSrSrSrSr/SQrSrSrSrSr S Sjr!Sr"S!Sjr#Sr$Sr%Sr&Sr'S"Sjr(g)#) exceptionsoptional_importsN)utils) make_subplots)Numberpandasz#969696z#0f0f0f z#ffffffz#efefefz#edededz#d0d0d0?? )scatter scattergl histogrambarboxzIf you are using a dictionary for custom labels for the facet row/col, make sure each key in that column of the dataframe is in your facet labels. 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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 2OPP b",, ' '$$%IJJ R --((:  iJ7 ? 3811::$$ M  **$$ ( / /0A B  [ 6x(   $$Wd3L JJxL ]" $%M& !$%M& ! %&)L # ]".81$EM& !$&M& ! .L% KKLL"-..01 ";/ & - -}++-.3355"$-"6"6"8"?"?"AK$001C1J1J;1WXX."-..01 ";/ & - -}++-.3355"$-"6"6"8"?"?"AK$001C1J1J;1WXX.K bn))!,c 2 2lK(D))))(E:>002C(--/1(44;3"&!;!;>002CC//$21$5HSMFA 3 =  '  C,++A. 7 7(D))" ))(E:>002C(--/1(44;3$A$$  #  !'$ [,Hd++"*((9#>#$$  #  !'$ [*Hc**t116688&*&8&8&BO$00''-vd.@.@.E.E.G'H $?#$$  #  !'$ [,#'"4"4V"<#>#$$  #  !'$ [.'               # [( S# +, C{*+M"   # #C ( ^   # #C (  "6'6aQ6' bgnn&q)3 / /3I,0) (##%C(- 3=H i(0.&3Z 8 U 8 U 6    [ESz%#eCj/A*=!!#eCj/2!!#eCj/2!j   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 1w9:H j)+678H j))49CH j)+69CH j)+69:H j)+6'9H j)*5+" * 8}??3'3.3D3D3 l l l "!l ll)r@T)FF)NNNNNNFNNNNrrNNTFr ))plotlyrr plotly.colorscolorsrplotly.figure_factoryrplotly.subplotsrrnumbersr get_modulerrrFrQrrrrrr:LEGEND_ANNOT_Yrrrrrrr$r=rMrVrtr~rrrrrzrrr(s/')   *      !#  G' "GK)X8!*HfR[|J^          'cr