from plotly.basedatatypes import BaseTraceType import copy class Candlestick(BaseTraceType): # close # ----- @property def close(self): """ Sets the close values. The 'close' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['close'] @close.setter def close(self, val): self['close'] = val # closesrc # -------- @property def closesrc(self): """ Sets the source reference on plot.ly for close . The 'closesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['closesrc'] @closesrc.setter def closesrc(self, val): self['closesrc'] = val # customdata # ---------- @property def customdata(self): """ 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 The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['customdata'] @customdata.setter def customdata(self, val): self['customdata'] = val # customdatasrc # ------------- @property def customdatasrc(self): """ Sets the source reference on plot.ly for customdata . The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['customdatasrc'] @customdatasrc.setter def customdatasrc(self, val): self['customdatasrc'] = val # decreasing # ---------- @property def decreasing(self): """ The 'decreasing' property is an instance of Decreasing that may be specified as: - An instance of plotly.graph_objs.candlestick.Decreasing - A dict of string/value properties that will be passed to the Decreasing constructor Supported dict properties: fillcolor Sets the fill color. Defaults to a half- transparent variant of the line color, marker color, or marker line color, whichever is available. line plotly.graph_objs.candlestick.decreasing.Line instance or dict with compatible properties Returns ------- plotly.graph_objs.candlestick.Decreasing """ return self['decreasing'] @decreasing.setter def decreasing(self, val): self['decreasing'] = val # high # ---- @property def high(self): """ Sets the high values. The 'high' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['high'] @high.setter def high(self, val): self['high'] = val # highsrc # ------- @property def highsrc(self): """ Sets the source reference on plot.ly for high . The 'highsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['highsrc'] @highsrc.setter def highsrc(self, val): self['highsrc'] = val # hoverinfo # --------- @property def hoverinfo(self): """ 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. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters (e.g. 'x+y') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self['hoverinfo'] @hoverinfo.setter def hoverinfo(self, val): self['hoverinfo'] = val # hoverinfosrc # ------------ @property def hoverinfosrc(self): """ Sets the source reference on plot.ly for hoverinfo . The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['hoverinfosrc'] @hoverinfosrc.setter def hoverinfosrc(self, val): self['hoverinfosrc'] = val # hoverlabel # ---------- @property def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of plotly.graph_objs.candlestick.Hoverlabel - A dict of string/value properties that will be passed to the Hoverlabel constructor Supported dict properties: bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on plot.ly for bgcolor . bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on plot.ly for bordercolor . font Sets the font used in hover labels. namelength Sets the length (in number of characters) of the trace name in the hover labels for this trace. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. namelengthsrc Sets the source reference on plot.ly for namelength . split Show hover information (open, close, high, low) in separate labels. Returns ------- plotly.graph_objs.candlestick.Hoverlabel """ return self['hoverlabel'] @hoverlabel.setter def hoverlabel(self, val): self['hoverlabel'] = val # ids # --- @property def ids(self): """ 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. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['ids'] @ids.setter def ids(self, val): self['ids'] = val # idssrc # ------ @property def idssrc(self): """ Sets the source reference on plot.ly for ids . The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['idssrc'] @idssrc.setter def idssrc(self, val): self['idssrc'] = val # increasing # ---------- @property def increasing(self): """ The 'increasing' property is an instance of Increasing that may be specified as: - An instance of plotly.graph_objs.candlestick.Increasing - A dict of string/value properties that will be passed to the Increasing constructor Supported dict properties: fillcolor Sets the fill color. Defaults to a half- transparent variant of the line color, marker color, or marker line color, whichever is available. line plotly.graph_objs.candlestick.increasing.Line instance or dict with compatible properties Returns ------- plotly.graph_objs.candlestick.Increasing """ return self['increasing'] @increasing.setter def increasing(self, val): self['increasing'] = val # legendgroup # ----------- @property def legendgroup(self): """ Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['legendgroup'] @legendgroup.setter def legendgroup(self, val): self['legendgroup'] = val # line # ---- @property def line(self): """ The 'line' property is an instance of Line that may be specified as: - An instance of plotly.graph_objs.candlestick.Line - A dict of string/value properties that will be passed to the Line constructor Supported dict properties: width Sets the width (in px) of line bounding the box(es). Note that this style setting can also be set per direction via `increasing.line.width` and `decreasing.line.width`. Returns ------- plotly.graph_objs.candlestick.Line """ return self['line'] @line.setter def line(self, val): self['line'] = val # low # --- @property def low(self): """ Sets the low values. The 'low' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['low'] @low.setter def low(self, val): self['low'] = val # lowsrc # ------ @property def lowsrc(self): """ Sets the source reference on plot.ly for low . The 'lowsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['lowsrc'] @lowsrc.setter def lowsrc(self, val): self['lowsrc'] = val # name # ---- @property def name(self): """ Sets the trace name. The trace name appear as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['name'] @name.setter def name(self, val): self['name'] = val # opacity # ------- @property def opacity(self): """ Sets the opacity of the trace. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self['opacity'] @opacity.setter def opacity(self, val): self['opacity'] = val # open # ---- @property def open(self): """ Sets the open values. The 'open' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['open'] @open.setter def open(self, val): self['open'] = val # opensrc # ------- @property def opensrc(self): """ Sets the source reference on plot.ly for open . The 'opensrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['opensrc'] @opensrc.setter def opensrc(self, val): self['opensrc'] = val # selectedpoints # -------------- @property def selectedpoints(self): """ 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. The 'selectedpoints' property accepts values of any type Returns ------- Any """ return self['selectedpoints'] @selectedpoints.setter def selectedpoints(self, val): self['selectedpoints'] = val # showlegend # ---------- @property def showlegend(self): """ Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self['showlegend'] @showlegend.setter def showlegend(self, val): self['showlegend'] = val # stream # ------ @property def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of plotly.graph_objs.candlestick.Stream - A dict of string/value properties that will be passed to the Stream constructor Supported dict properties: maxpoints Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. token The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. Returns ------- plotly.graph_objs.candlestick.Stream """ return self['stream'] @stream.setter def stream(self, val): self['stream'] = val # text # ---- @property def text(self): """ 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. The 'text' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self['text'] @text.setter def text(self, val): self['text'] = val # textsrc # ------- @property def textsrc(self): """ Sets the source reference on plot.ly for text . The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['textsrc'] @textsrc.setter def textsrc(self, val): self['textsrc'] = val # uid # --- @property def uid(self): """ The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self['uid'] @uid.setter def uid(self, val): self['uid'] = val # visible # ------- @property def visible(self): """ 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). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any """ return self['visible'] @visible.setter def visible(self, val): self['visible'] = val # whiskerwidth # ------------ @property def whiskerwidth(self): """ Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es). The 'whiskerwidth' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self['whiskerwidth'] @whiskerwidth.setter def whiskerwidth(self, val): self['whiskerwidth'] = val # x # - @property def x(self): """ Sets the x coordinates. If absent, linear coordinate will be generated. The 'x' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self['x'] @x.setter def x(self, val): self['x'] = val # xaxis # ----- @property def xaxis(self): """ 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. The 'xaxis' property is an identifier of a particular subplot, of type 'x', that may be specified as the string 'x' optionally followed by an integer >= 1 (e.g. 'x', 'x1', 'x2', 'x3', etc.) Returns ------- str """ return self['xaxis'] @xaxis.setter def xaxis(self, val): self['xaxis'] = val # xcalendar # --------- @property def xcalendar(self): """ Sets the calendar system to use with `x` date data. The 'xcalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['gregorian', 'chinese', 'coptic', 'discworld', 'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self['xcalendar'] @xcalendar.setter def xcalendar(self, val): self['xcalendar'] = val # xsrc # ---- @property def xsrc(self): """ Sets the source reference on plot.ly for x . The 'xsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self['xsrc'] @xsrc.setter def xsrc(self, val): self['xsrc'] = val # yaxis # ----- @property def yaxis(self): """ 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. The 'yaxis' property is an identifier of a particular subplot, of type 'y', that may be specified as the string 'y' optionally followed by an integer >= 1 (e.g. 'y', 'y1', 'y2', 'y3', etc.) Returns ------- str """ return self['yaxis'] @yaxis.setter def yaxis(self, val): self['yaxis'] = val # type # ---- @property def type(self): return self._props['type'] # property parent name # -------------------- @property def _parent_path_str(self): return '' # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ close Sets the close values. closesrc Sets the source reference on plot.ly 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 plot.ly for customdata . decreasing plotly.graph_objs.candlestick.Decreasing instance or dict with compatible properties high Sets the high values. highsrc Sets the source reference on plot.ly 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 plot.ly for hoverinfo . hoverlabel plotly.graph_objs.candlestick.Hoverlabel instance or dict with compatible properties 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 plot.ly for ids . increasing plotly.graph_objs.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_objs.candlestick.Line instance or dict with compatible properties low Sets the low values. lowsrc Sets the source reference on plot.ly for low . 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 plot.ly 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_objs.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 plot.ly for text . uid 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. xsrc Sets the source reference on plot.ly 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. """ def __init__( self, arg=None, close=None, closesrc=None, customdata=None, customdatasrc=None, decreasing=None, high=None, highsrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, ids=None, idssrc=None, increasing=None, legendgroup=None, line=None, low=None, lowsrc=None, name=None, opacity=None, open=None, opensrc=None, selectedpoints=None, showlegend=None, stream=None, text=None, textsrc=None, uid=None, visible=None, whiskerwidth=None, x=None, xaxis=None, xcalendar=None, xsrc=None, yaxis=None, **kwargs ): """ Construct a new Candlestick object 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 ---------- arg dict of properties compatible with this constructor or an instance of plotly.graph_objs.Candlestick close Sets the close values. closesrc Sets the source reference on plot.ly 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 plot.ly for customdata . decreasing plotly.graph_objs.candlestick.Decreasing instance or dict with compatible properties high Sets the high values. highsrc Sets the source reference on plot.ly 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 plot.ly for hoverinfo . hoverlabel plotly.graph_objs.candlestick.Hoverlabel instance or dict with compatible properties 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 plot.ly for ids . increasing plotly.graph_objs.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_objs.candlestick.Line instance or dict with compatible properties low Sets the low values. lowsrc Sets the source reference on plot.ly for low . 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 plot.ly 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_objs.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 plot.ly for text . uid 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. xsrc Sets the source reference on plot.ly 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. Returns ------- Candlestick """ super(Candlestick, self).__init__('candlestick') # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.Candlestick constructor must be a dict or an instance of plotly.graph_objs.Candlestick""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop('skip_invalid', False) # Import validators # ----------------- from plotly.validators import (candlestick as v_candlestick) # Initialize validators # --------------------- self._validators['close'] = v_candlestick.CloseValidator() self._validators['closesrc'] = v_candlestick.ClosesrcValidator() self._validators['customdata'] = v_candlestick.CustomdataValidator() self._validators['customdatasrc' ] = v_candlestick.CustomdatasrcValidator() self._validators['decreasing'] = v_candlestick.DecreasingValidator() self._validators['high'] = v_candlestick.HighValidator() self._validators['highsrc'] = v_candlestick.HighsrcValidator() self._validators['hoverinfo'] = v_candlestick.HoverinfoValidator() self._validators['hoverinfosrc' ] = v_candlestick.HoverinfosrcValidator() self._validators['hoverlabel'] = v_candlestick.HoverlabelValidator() self._validators['ids'] = v_candlestick.IdsValidator() self._validators['idssrc'] = v_candlestick.IdssrcValidator() self._validators['increasing'] = v_candlestick.IncreasingValidator() self._validators['legendgroup'] = v_candlestick.LegendgroupValidator() self._validators['line'] = v_candlestick.LineValidator() self._validators['low'] = v_candlestick.LowValidator() self._validators['lowsrc'] = v_candlestick.LowsrcValidator() self._validators['name'] = v_candlestick.NameValidator() self._validators['opacity'] = v_candlestick.OpacityValidator() self._validators['open'] = v_candlestick.OpenValidator() self._validators['opensrc'] = v_candlestick.OpensrcValidator() self._validators['selectedpoints' ] = v_candlestick.SelectedpointsValidator() self._validators['showlegend'] = v_candlestick.ShowlegendValidator() self._validators['stream'] = v_candlestick.StreamValidator() self._validators['text'] = v_candlestick.TextValidator() self._validators['textsrc'] = v_candlestick.TextsrcValidator() self._validators['uid'] = v_candlestick.UidValidator() self._validators['visible'] = v_candlestick.VisibleValidator() self._validators['whiskerwidth' ] = v_candlestick.WhiskerwidthValidator() self._validators['x'] = v_candlestick.XValidator() self._validators['xaxis'] = v_candlestick.XAxisValidator() self._validators['xcalendar'] = v_candlestick.XcalendarValidator() self._validators['xsrc'] = v_candlestick.XsrcValidator() self._validators['yaxis'] = v_candlestick.YAxisValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop('close', None) self['close'] = close if close is not None else _v _v = arg.pop('closesrc', None) self['closesrc'] = closesrc if closesrc is not None else _v _v = arg.pop('customdata', None) self['customdata'] = customdata if customdata is not None else _v _v = arg.pop('customdatasrc', None) self['customdatasrc' ] = customdatasrc if customdatasrc is not None else _v _v = arg.pop('decreasing', None) self['decreasing'] = decreasing if decreasing is not None else _v _v = arg.pop('high', None) self['high'] = high if high is not None else _v _v = arg.pop('highsrc', None) self['highsrc'] = highsrc if highsrc is not None else _v _v = arg.pop('hoverinfo', None) self['hoverinfo'] = hoverinfo if hoverinfo is not None else _v _v = arg.pop('hoverinfosrc', None) self['hoverinfosrc'] = hoverinfosrc if hoverinfosrc is not None else _v _v = arg.pop('hoverlabel', None) self['hoverlabel'] = hoverlabel if hoverlabel is not None else _v _v = arg.pop('ids', None) self['ids'] = ids if ids is not None else _v _v = arg.pop('idssrc', None) self['idssrc'] = idssrc if idssrc is not None else _v _v = arg.pop('increasing', None) self['increasing'] = increasing if increasing is not None else _v _v = arg.pop('legendgroup', None) self['legendgroup'] = legendgroup if legendgroup is not None else _v _v = arg.pop('line', None) self['line'] = line if line is not None else _v _v = arg.pop('low', None) self['low'] = low if low is not None else _v _v = arg.pop('lowsrc', None) self['lowsrc'] = lowsrc if lowsrc is not None else _v _v = arg.pop('name', None) self['name'] = name if name is not None else _v _v = arg.pop('opacity', None) self['opacity'] = opacity if opacity is not None else _v _v = arg.pop('open', None) self['open'] = open if open is not None else _v _v = arg.pop('opensrc', None) self['opensrc'] = opensrc if opensrc is not None else _v _v = arg.pop('selectedpoints', None) self['selectedpoints' ] = selectedpoints if selectedpoints is not None else _v _v = arg.pop('showlegend', None) self['showlegend'] = showlegend if showlegend is not None else _v _v = arg.pop('stream', None) self['stream'] = stream if stream is not None else _v _v = arg.pop('text', None) self['text'] = text if text is not None else _v _v = arg.pop('textsrc', None) self['textsrc'] = textsrc if textsrc is not None else _v _v = arg.pop('uid', None) self['uid'] = uid if uid is not None else _v _v = arg.pop('visible', None) self['visible'] = visible if visible is not None else _v _v = arg.pop('whiskerwidth', None) self['whiskerwidth'] = whiskerwidth if whiskerwidth is not None else _v _v = arg.pop('x', None) self['x'] = x if x is not None else _v _v = arg.pop('xaxis', None) self['xaxis'] = xaxis if xaxis is not None else _v _v = arg.pop('xcalendar', None) self['xcalendar'] = xcalendar if xcalendar is not None else _v _v = arg.pop('xsrc', None) self['xsrc'] = xsrc if xsrc is not None else _v _v = arg.pop('yaxis', None) self['yaxis'] = yaxis if yaxis is not None else _v # Read-only literals # ------------------ from _plotly_utils.basevalidators import LiteralValidator self._props['type'] = 'candlestick' self._validators['type'] = LiteralValidator( plotly_name='type', parent_name='candlestick', val='candlestick' ) arg.pop('type', None) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False