PlotlyWidget.add_candlestick

PlotlyWidget.add_candlestick(close=None, closesrc=None, customdata=None, customdatasrc=None, decreasing=None, high=None, highsrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, increasing=None, legendgroup=None, line=None, low=None, lowsrc=None, meta=None, metasrc=None, name=None, opacity=None, open=None, opensrc=None, selectedpoints=None, showlegend=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, visible=None, whiskerwidth=None, x=None, xaxis=None, xcalendar=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, yaxis=None, row=None, col=None, secondary_y=None, **kwargs)

Add a new Candlestick trace

The candlestick is a style of financial chart describing open, high, low and close for a given x coordinate (most likely time). The boxes represent the spread between the open and close values and the lines represent the spread between the low and high values Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing candles are drawn in green whereas decreasing are drawn in red.

Parameters

  • close – Sets the close values.

  • closesrc – Sets the source reference on Chart Studio Cloud for close .

  • customdata – Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, “scatter” traces also appends customdata items in the markers DOM elements

  • customdatasrc – Sets the source reference on Chart Studio Cloud for customdata .

  • decreasing – plotly.graph_objects.candlestick.Decreasing instance or dict with compatible properties

  • high – Sets the high values.

  • highsrc – Sets the source reference on Chart Studio Cloud for high .

  • hoverinfo – Determines which trace information appear on hover. If none or skip are set, no information is displayed upon hovering. But, if none is set, click and hover events are still fired.

  • hoverinfosrc – Sets the source reference on Chart Studio Cloud for hoverinfo .

  • hoverlabel – plotly.graph_objects.candlestick.Hoverlabel instance or dict with compatible properties

  • hovertext – Same as text.

  • hovertextsrc – Sets the source reference on Chart Studio Cloud for hovertext .

  • ids – Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.

  • idssrc – Sets the source reference on Chart Studio Cloud for ids .

  • increasing – plotly.graph_objects.candlestick.Increasing instance or dict with compatible properties

  • legendgroup – Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.

  • line – plotly.graph_objects.candlestick.Line instance or dict with compatible properties

  • low – Sets the low values.

  • lowsrc – Sets the source reference on Chart Studio Cloud for low .

  • meta – Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace name, graph, axis and colorbar title.text, annotation text rangeselector, updatemenues and sliders label text all support meta. To access the trace meta values in an attribute in the same trace, simply use %{meta[i]} where i is the index or key of the meta item in question. To access trace meta in layout attributes, use %{data[n[.meta[i]} where i is the index or key of the meta and n is the trace index.

  • metasrc – Sets the source reference on Chart Studio Cloud for meta .

  • name – Sets the trace name. The trace name appear as the legend item and on hover.

  • opacity – Sets the opacity of the trace.

  • open – Sets the open values.

  • opensrc – Sets the source reference on Chart Studio Cloud for open .

  • selectedpoints – Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the unselected are turned on for all points, whereas, any other non-array values means no selection all where the selected and unselected styles have no effect.

  • showlegend – Determines whether or not an item corresponding to this trace is shown in the legend.

  • stream – plotly.graph_objects.candlestick.Stream instance or dict with compatible properties

  • text – Sets hover text elements associated with each sample point. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to this trace’s sample points.

  • textsrc – Sets the source reference on Chart Studio Cloud for text .

  • uid – Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions.

  • uirevision – Controls persistence of some user-driven changes to the trace: constraintrange in parcoords traces, as well as some editable: true modifications such as name and colorbar.title. Defaults to layout.uirevision. Note that other user-driven trace attribute changes are controlled by layout attributes: trace.visible is controlled by layout.legend.uirevision, selectedpoints is controlled by layout.selectionrevision, and colorbar.(x|y) (accessible with config: {editable: true}) is controlled by layout.editrevision. Trace changes are tracked by uid, which only falls back on trace index if no uid is provided. So if your app can add/remove traces before the end of the data array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a uid that stays with it as it moves.

  • visible – Determines whether or not this trace is visible. If “legendonly”, the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).

  • whiskerwidth – Sets the width of the whiskers relative to the box’ width. For example, with 1, the whiskers are as wide as the box(es).

  • x – Sets the x coordinates. If absent, linear coordinate will be generated.

  • xaxis – Sets a reference between this trace’s x coordinates and a 2D cartesian x axis. If “x” (the default value), the x coordinates refer to layout.xaxis. If “x2”, the x coordinates refer to layout.xaxis2, and so on.

  • xcalendar – Sets the calendar system to use with x date data.

  • xperiod – Only relevant when the axis type is “date”. Sets the period positioning in milliseconds or “M<n>” on the x axis. Special values in the form of “M<n>” could be used to declare the number of months. In this case n must be a positive integer.

  • xperiod0 – Only relevant when the axis type is “date”. Sets the base for period positioning in milliseconds or date string on the x0 axis. When x0period is round number of weeks, the x0period0 by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.

  • xperiodalignment – Only relevant when the axis type is “date”. Sets the alignment of data points on the x axis.

  • xsrc – Sets the source reference on Chart Studio Cloud for x .

  • yaxis – Sets a reference between this trace’s y coordinates and a 2D cartesian y axis. If “y” (the default value), the y coordinates refer to layout.yaxis. If “y2”, the y coordinates refer to layout.yaxis2, and so on.

  • row ('all', int or None (default)) – Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all rows in the specified column(s).

  • col ('all', int or None (default)) – Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all columns in the specified row(s).

  • secondary_y (boolean or None (default None)) –

    If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied:

    • The figure was created using plotly.subplots.make_subplots.

    • The row and col arguments are not None

    • The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info.

Returns

Return type

FigureWidget

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