6DhJaSrSSKrSSKrSSKrSSKJrJr SSKJr /SQr /SQr 0SSS /_S S S /_S SS/_SSS/_SSS/_SSS/_SSS/_SSS/_SSS/_SSS/_SS S!/_S"S#S$/_S%SS /_S&SS'/_S(S)S /_S*SS+/_S,S-S./_r S/r S0r S1rSCS2jr\\lSDS3jrSES4jrSFS5jr\R("S6S7\5 SGS8jrS9rS:rS;rSS?/r"S@SA\5rSBrg)HzB tools ===== Functions that USERS will possibly want access to. N) exceptionsoptional_imports) PLOTLY_DIR) zrgb(31, 119, 180)zrgb(255, 127, 14)zrgb(44, 160, 44)zrgb(214, 39, 40)zrgb(148, 103, 189)zrgb(140, 86, 75)zrgb(227, 119, 194)zrgb(127, 127, 127)zrgb(188, 189, 34)zrgb(23, 190, 207))TaskStartFinishGreysz rgb(0,0,0)zrgb(255,255,255)YlGnBuz rgb(8,29,88)zrgb(255,255,217)Greensz rgb(0,68,27)zrgb(247,252,245)YlOrRdz rgb(128,0,38)zrgb(255,255,204)Blueredz rgb(0,0,255)z rgb(255,0,0)RdBuz rgb(5,10,172)zrgb(178,10,28)Redszrgb(220,220,220)BluesPicnicRainbowz rgb(150,0,90)Portlandzrgb(12,51,131)zrgb(217,30,30)Jetz rgb(0,0,131)z rgb(128,0,0)Hot Blackbodyzrgb(160,200,255)Earthz rgb(0,0,130)Electriczrgb(255,250,220)Viridisz rgb(68,1,84)zrgb(253,231,37)z#1f77b4zprobability density probabilityc:U<SU<SUR<SU<S3$)N:z: z: z )__name__)messagecategoryfilenamelinenofilelines >/var/www/html/env/lib/python3.13/site-packages/plotly/tools.pywarning_on_one_liner%;s%-vx7H7H' RRcv[R"S5nU(aUR5nURU5R U5 U(aUR 5 U(aUR 5 U(a[UR5 UR$[R"S5 g)a5Convert a matplotlib figure to plotly dictionary and send. All available information about matplotlib visualizations are stored within a matplotlib.figure.Figure object. You can create a plot in python using matplotlib, store the figure object, and then pass this object to the fig_to_plotly function. In the background, mplexporter is used to crawl through the mpl figure object for appropriate information. This information is then systematically sent to the PlotlyRenderer which creates the JSON structure used to make plotly visualizations. Finally, these dictionaries are sent to plotly and your browser should open up a new tab for viewing! Optionally, if you're working in IPython, you can set notebook=True and the PlotlyRenderer will call plotly.iplot instead of plotly.plot to have the graph appear directly in the IPython notebook. Note, this function gives the user access to a simple, one-line way to render an mpl figure in plotly. If you need to trouble shoot, you can do this step manually by NOT running this fuction and entereing the following: =========================================================================== from plotly.matplotlylib import mplexporter, PlotlyRenderer # create an mpl figure and store it under a varialble 'fig' renderer = PlotlyRenderer() exporter = mplexporter.Exporter(renderer) exporter.run(fig) =========================================================================== You can then inspect the JSON structures by accessing these: renderer.layout -- a plotly layout dictionary renderer.data -- a list of plotly data dictionaries zplotly.matplotlylibzTo use Plotly's matplotlylib functionality, you'll need to have matplotlib successfully installed with all of its dependencies. You're getting this error because matplotlib or one of its dependencies doesn't seem to be installed correctly.N) r get_modulePlotlyRendererExporterrunresize strip_styleprintmsg plotly_figwarningswarn)figr,r-verbose matplotlylibrenderers r$ mpl_to_plotlyr7CsD$../DEL..0h'++C0  OO    "  (,, """  C r&c SSKJn [R"S5 [ U[ 5(aUS::a [ S5e[ U[ 5(aUS::a [ S5eSS/nUR5H"nXe;dM [ SRU55e [US5n[US5n[UR5S 9n S XqS - -- U- n S XS - -- U- n Sn [U5Hn [U5HnS RU S -5nSRU S -5nX-U-nUU -nSRU S -5nSRU S -5nX-U -nUU -n[UU/US9nUU SU'[UU/US9nUU SU'U S - n M M U(aa[S5 SnS n[U5H8n Sn[U5HnUSRU5- nUS - nM US-U-nM: [U5 URU 5$![a S U- nGNf=f![a S U- nGNf=f)a Return a dictionary instance with the subplots set in 'layout'. Example 1: # stack two subplots vertically fig = tools.get_subplots(rows=2) fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x1', yaxis='y1')] fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')] Example 2: # print out string showing the subplot grid you've put in the layout fig = tools.get_subplots(rows=3, columns=2, print_grid=True) Keywords arguments with constant defaults: rows (kwarg, int greater than 0, default=1): Number of rows, evenly spaced vertically on the figure. columns (kwarg, int greater than 0, default=1): Number of columns, evenly spaced horizontally on the figure. horizontal_spacing (kwarg, float in [0,1], default=0.1): Space between subplot columns. Applied to all columns. vertical_spacing (kwarg, float in [0,1], default=0.05): Space between subplot rows. Applied to all rows. print_grid (kwarg, True | False, default=False): If True, prints a tab-delimited string representation of your plot grid. 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