1916 lines
66 KiB
Python
1916 lines
66 KiB
Python
# --- THIS FILE IS AUTO-GENERATED ---
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# Modifications will be overwitten the next time code generation run.
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from plotly.basedatatypes import BaseTraceType as _BaseTraceType
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import copy as _copy
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class Scatterpolar(_BaseTraceType):
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_parent_path_str = ""
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_path_str = "scatterpolar"
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_valid_props = {
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"cliponaxis",
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"connectgaps",
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"customdata",
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"customdatasrc",
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"dr",
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"dtheta",
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"fill",
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"fillcolor",
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"hoverinfo",
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"hoverinfosrc",
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"hoverlabel",
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"hoveron",
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"hovertemplate",
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"hovertemplatesrc",
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"hovertext",
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"hovertextsrc",
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"ids",
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"idssrc",
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"legend",
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"legendgroup",
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"legendgrouptitle",
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"legendrank",
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"legendwidth",
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"line",
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"marker",
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"meta",
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"metasrc",
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"mode",
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"name",
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"opacity",
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"r",
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"r0",
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"rsrc",
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"selected",
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"selectedpoints",
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"showlegend",
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"stream",
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"subplot",
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"text",
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"textfont",
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"textposition",
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"textpositionsrc",
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"textsrc",
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"texttemplate",
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"texttemplatesrc",
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"theta",
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"theta0",
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"thetasrc",
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"thetaunit",
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"type",
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"uid",
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"uirevision",
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"unselected",
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"visible",
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}
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@property
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def cliponaxis(self):
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"""
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Determines whether or not markers and text nodes are clipped
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about the subplot axes. To show markers and text nodes above
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axis lines and tick labels, make sure to set `xaxis.layer` and
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`yaxis.layer` to *below traces*.
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The 'cliponaxis' property must be specified as a bool
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(either True, or False)
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Returns
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-------
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bool
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"""
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return self["cliponaxis"]
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@cliponaxis.setter
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def cliponaxis(self, val):
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self["cliponaxis"] = val
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@property
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def connectgaps(self):
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"""
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Determines whether or not gaps (i.e. {nan} or missing values)
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in the provided data arrays are connected.
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The 'connectgaps' property must be specified as a bool
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(either True, or False)
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Returns
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-------
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bool
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"""
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return self["connectgaps"]
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@connectgaps.setter
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def connectgaps(self, val):
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self["connectgaps"] = val
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@property
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def customdata(self):
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"""
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Assigns extra data each datum. This may be useful when
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listening to hover, click and selection events. Note that,
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"scatter" traces also appends customdata items in the markers
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DOM elements
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The 'customdata' property is an array that may be specified as a tuple,
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list, numpy array, or pandas Series
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Returns
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-------
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numpy.ndarray
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"""
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return self["customdata"]
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@customdata.setter
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def customdata(self, val):
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self["customdata"] = val
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@property
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def customdatasrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for
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`customdata`.
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The 'customdatasrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["customdatasrc"]
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@customdatasrc.setter
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def customdatasrc(self, val):
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self["customdatasrc"] = val
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@property
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def dr(self):
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"""
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Sets the r coordinate step.
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The 'dr' property is a number and may be specified as:
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- An int or float
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Returns
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-------
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int|float
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"""
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return self["dr"]
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@dr.setter
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def dr(self, val):
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self["dr"] = val
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@property
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def dtheta(self):
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"""
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Sets the theta coordinate step. By default, the `dtheta` step
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equals the subplot's period divided by the length of the `r`
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coordinates.
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The 'dtheta' property is a number and may be specified as:
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- An int or float
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Returns
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-------
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int|float
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"""
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return self["dtheta"]
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@dtheta.setter
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def dtheta(self, val):
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self["dtheta"] = val
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@property
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def fill(self):
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"""
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Sets the area to fill with a solid color. Use with `fillcolor`
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if not "none". scatterpolar has a subset of the options
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available to scatter. "toself" connects the endpoints of the
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trace (or each segment of the trace if it has gaps) into a
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closed shape. "tonext" fills the space between two traces if
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one completely encloses the other (eg consecutive contour
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lines), and behaves like "toself" if there is no trace before
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it. "tonext" should not be used if one trace does not enclose
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the other.
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The 'fill' property is an enumeration that may be specified as:
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- One of the following enumeration values:
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['none', 'toself', 'tonext']
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Returns
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-------
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Any
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"""
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return self["fill"]
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@fill.setter
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def fill(self, val):
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self["fill"] = val
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@property
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def fillcolor(self):
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"""
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Sets the fill color. Defaults to a half-transparent variant of
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the line color, marker color, or marker line color, whichever
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is available.
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The 'fillcolor' property is a color and may be specified as:
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- A hex string (e.g. '#ff0000')
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- An rgb/rgba string (e.g. 'rgb(255,0,0)')
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- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
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- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
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- A named CSS color: see https://plotly.com/python/css-colors/ for a list
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Returns
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-------
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str
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"""
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return self["fillcolor"]
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@fillcolor.setter
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def fillcolor(self, val):
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self["fillcolor"] = val
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@property
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def hoverinfo(self):
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"""
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Determines which trace information appear on hover. If `none`
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or `skip` are set, no information is displayed upon hovering.
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But, if `none` is set, click and hover events are still fired.
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The 'hoverinfo' property is a flaglist and may be specified
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as a string containing:
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- Any combination of ['r', 'theta', 'text', 'name'] joined with '+' characters
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(e.g. 'r+theta')
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OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
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- A list or array of the above
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Returns
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-------
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Any|numpy.ndarray
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"""
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return self["hoverinfo"]
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@hoverinfo.setter
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def hoverinfo(self, val):
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self["hoverinfo"] = val
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@property
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def hoverinfosrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for
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`hoverinfo`.
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The 'hoverinfosrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["hoverinfosrc"]
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@hoverinfosrc.setter
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def hoverinfosrc(self, val):
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self["hoverinfosrc"] = val
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@property
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def hoverlabel(self):
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"""
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The 'hoverlabel' property is an instance of Hoverlabel
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.scatterpolar.Hoverlabel`
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- A dict of string/value properties that will be passed
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to the Hoverlabel constructor
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Returns
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-------
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plotly.graph_objs.scatterpolar.Hoverlabel
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"""
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return self["hoverlabel"]
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@hoverlabel.setter
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def hoverlabel(self, val):
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self["hoverlabel"] = val
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@property
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def hoveron(self):
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"""
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Do the hover effects highlight individual points (markers or
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line points) or do they highlight filled regions? If the fill
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is "toself" or "tonext" and there are no markers or text, then
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the default is "fills", otherwise it is "points".
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The 'hoveron' property is a flaglist and may be specified
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as a string containing:
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- Any combination of ['points', 'fills'] joined with '+' characters
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(e.g. 'points+fills')
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Returns
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-------
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Any
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"""
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return self["hoveron"]
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@hoveron.setter
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def hoveron(self, val):
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self["hoveron"] = val
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@property
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def hovertemplate(self):
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"""
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Template string used for rendering the information that appear
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on hover box. Note that this will override `hoverinfo`.
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Variables are inserted using %{variable}, for example "y: %{y}"
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as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When
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showing info for several points, "xother" will be added to
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those with different x positions from the first point. An
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underscore before or after "(x|y)other" will add a space on
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that side, only when this field is shown. Numbers are formatted
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using d3-format's syntax %{variable:d3-format}, for example
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"Price: %{y:$.2f}".
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https://github.com/d3/d3-format/tree/v1.4.5#d3-format for
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details on the formatting syntax. Dates are formatted using
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d3-time-format's syntax %{variable|d3-time-format}, for example
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"Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-
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format/tree/v2.2.3#locale_format for details on the date
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formatting syntax. The variables available in `hovertemplate`
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are the ones emitted as event data described at this link
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https://plotly.com/javascript/plotlyjs-events/#event-data.
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Additionally, every attributes that can be specified per-point
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(the ones that are `arrayOk: true`) are available. Anything
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contained in tag `<extra>` is displayed in the secondary box,
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for example `<extra>%{fullData.name}</extra>`. To hide the
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secondary box completely, use an empty tag `<extra></extra>`.
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The 'hovertemplate' property is a string and must be specified as:
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- A string
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- A number that will be converted to a string
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- A tuple, list, or one-dimensional numpy array of the above
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Returns
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-------
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str|numpy.ndarray
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"""
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return self["hovertemplate"]
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@hovertemplate.setter
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def hovertemplate(self, val):
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self["hovertemplate"] = val
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@property
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def hovertemplatesrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for
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`hovertemplate`.
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The 'hovertemplatesrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["hovertemplatesrc"]
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@hovertemplatesrc.setter
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def hovertemplatesrc(self, val):
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self["hovertemplatesrc"] = val
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@property
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def hovertext(self):
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"""
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Sets hover text elements associated with each (x,y) pair. If a
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single string, the same string appears over all the data
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points. If an array of string, the items are mapped in order to
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the this trace's (x,y) coordinates. To be seen, trace
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`hoverinfo` must contain a "text" flag.
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The 'hovertext' property is a string and must be specified as:
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- A string
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- A number that will be converted to a string
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- A tuple, list, or one-dimensional numpy array of the above
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Returns
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-------
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str|numpy.ndarray
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"""
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return self["hovertext"]
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@hovertext.setter
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def hovertext(self, val):
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self["hovertext"] = val
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@property
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def hovertextsrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for
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`hovertext`.
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The 'hovertextsrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["hovertextsrc"]
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@hovertextsrc.setter
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def hovertextsrc(self, val):
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self["hovertextsrc"] = val
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@property
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def ids(self):
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"""
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Assigns id labels to each datum. These ids for object constancy
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of data points during animation. Should be an array of strings,
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not numbers or any other type.
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The 'ids' property is an array that may be specified as a tuple,
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list, numpy array, or pandas Series
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Returns
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-------
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numpy.ndarray
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"""
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return self["ids"]
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@ids.setter
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def ids(self, val):
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self["ids"] = val
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@property
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def idssrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `ids`.
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The 'idssrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["idssrc"]
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@idssrc.setter
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def idssrc(self, val):
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self["idssrc"] = val
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@property
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def legend(self):
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"""
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Sets the reference to a legend to show this trace in.
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References to these legends are "legend", "legend2", "legend3",
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etc. Settings for these legends are set in the layout, under
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`layout.legend`, `layout.legend2`, etc.
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The 'legend' property is an identifier of a particular
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subplot, of type 'legend', that may be specified as the string 'legend'
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optionally followed by an integer >= 1
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(e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.)
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Returns
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-------
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str
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"""
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return self["legend"]
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@legend.setter
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def legend(self, val):
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self["legend"] = val
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@property
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def legendgroup(self):
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"""
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Sets the legend group for this trace. Traces and shapes part of
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the same legend group hide/show at the same time when toggling
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legend items.
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The 'legendgroup' property is a string and must be specified as:
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- A string
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- A number that will be converted to a string
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Returns
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-------
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str
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"""
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return self["legendgroup"]
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@legendgroup.setter
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def legendgroup(self, val):
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self["legendgroup"] = val
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@property
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def legendgrouptitle(self):
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"""
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The 'legendgrouptitle' property is an instance of Legendgrouptitle
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.scatterpolar.Legendgrouptitle`
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- A dict of string/value properties that will be passed
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to the Legendgrouptitle constructor
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Returns
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-------
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plotly.graph_objs.scatterpolar.Legendgrouptitle
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"""
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return self["legendgrouptitle"]
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@legendgrouptitle.setter
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def legendgrouptitle(self, val):
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self["legendgrouptitle"] = val
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@property
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def legendrank(self):
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"""
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Sets the legend rank for this trace. Items and groups with
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smaller ranks are presented on top/left side while with
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"reversed" `legend.traceorder` they are on bottom/right side.
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The default legendrank is 1000, so that you can use ranks less
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than 1000 to place certain items before all unranked items, and
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ranks greater than 1000 to go after all unranked items. When
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having unranked or equal rank items shapes would be displayed
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after traces i.e. according to their order in data and layout.
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The 'legendrank' property is a number and may be specified as:
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- An int or float
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Returns
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-------
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int|float
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"""
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return self["legendrank"]
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@legendrank.setter
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def legendrank(self, val):
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self["legendrank"] = val
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@property
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def legendwidth(self):
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"""
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Sets the width (in px or fraction) of the legend for this
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trace.
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The 'legendwidth' property is a number and may be specified as:
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- An int or float in the interval [0, inf]
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Returns
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-------
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int|float
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"""
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return self["legendwidth"]
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@legendwidth.setter
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def legendwidth(self, val):
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self["legendwidth"] = val
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@property
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def line(self):
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"""
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The 'line' property is an instance of Line
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.scatterpolar.Line`
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- A dict of string/value properties that will be passed
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to the Line constructor
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Returns
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-------
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plotly.graph_objs.scatterpolar.Line
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"""
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return self["line"]
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@line.setter
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def line(self, val):
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self["line"] = val
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@property
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def marker(self):
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"""
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The 'marker' property is an instance of Marker
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.scatterpolar.Marker`
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- A dict of string/value properties that will be passed
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to the Marker constructor
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Returns
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-------
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plotly.graph_objs.scatterpolar.Marker
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"""
|
|
return self["marker"]
|
|
|
|
@marker.setter
|
|
def marker(self, val):
|
|
self["marker"] = val
|
|
|
|
@property
|
|
def meta(self):
|
|
"""
|
|
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.
|
|
|
|
The 'meta' property accepts values of any type
|
|
|
|
Returns
|
|
-------
|
|
Any|numpy.ndarray
|
|
"""
|
|
return self["meta"]
|
|
|
|
@meta.setter
|
|
def meta(self, val):
|
|
self["meta"] = val
|
|
|
|
@property
|
|
def metasrc(self):
|
|
"""
|
|
Sets the source reference on Chart Studio Cloud for `meta`.
|
|
|
|
The 'metasrc' property must be specified as a string or
|
|
as a plotly.grid_objs.Column object
|
|
|
|
Returns
|
|
-------
|
|
str
|
|
"""
|
|
return self["metasrc"]
|
|
|
|
@metasrc.setter
|
|
def metasrc(self, val):
|
|
self["metasrc"] = val
|
|
|
|
@property
|
|
def mode(self):
|
|
"""
|
|
Determines the drawing mode for this scatter trace. If the
|
|
provided `mode` includes "text" then the `text` elements appear
|
|
at the coordinates. Otherwise, the `text` elements appear on
|
|
hover. If there are less than 20 points and the trace is not
|
|
stacked then the default is "lines+markers". Otherwise,
|
|
"lines".
|
|
|
|
The 'mode' property is a flaglist and may be specified
|
|
as a string containing:
|
|
- Any combination of ['lines', 'markers', 'text'] joined with '+' characters
|
|
(e.g. 'lines+markers')
|
|
OR exactly one of ['none'] (e.g. 'none')
|
|
|
|
Returns
|
|
-------
|
|
Any
|
|
"""
|
|
return self["mode"]
|
|
|
|
@mode.setter
|
|
def mode(self, val):
|
|
self["mode"] = val
|
|
|
|
@property
|
|
def name(self):
|
|
"""
|
|
Sets the trace name. The trace name appears 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
|
|
|
|
@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
|
|
|
|
@property
|
|
def r(self):
|
|
"""
|
|
Sets the radial coordinates
|
|
|
|
The 'r' property is an array that may be specified as a tuple,
|
|
list, numpy array, or pandas Series
|
|
|
|
Returns
|
|
-------
|
|
numpy.ndarray
|
|
"""
|
|
return self["r"]
|
|
|
|
@r.setter
|
|
def r(self, val):
|
|
self["r"] = val
|
|
|
|
@property
|
|
def r0(self):
|
|
"""
|
|
Alternate to `r`. Builds a linear space of r coordinates. Use
|
|
with `dr` where `r0` is the starting coordinate and `dr` the
|
|
step.
|
|
|
|
The 'r0' property accepts values of any type
|
|
|
|
Returns
|
|
-------
|
|
Any
|
|
"""
|
|
return self["r0"]
|
|
|
|
@r0.setter
|
|
def r0(self, val):
|
|
self["r0"] = val
|
|
|
|
@property
|
|
def rsrc(self):
|
|
"""
|
|
Sets the source reference on Chart Studio Cloud for `r`.
|
|
|
|
The 'rsrc' property must be specified as a string or
|
|
as a plotly.grid_objs.Column object
|
|
|
|
Returns
|
|
-------
|
|
str
|
|
"""
|
|
return self["rsrc"]
|
|
|
|
@rsrc.setter
|
|
def rsrc(self, val):
|
|
self["rsrc"] = val
|
|
|
|
@property
|
|
def selected(self):
|
|
"""
|
|
The 'selected' property is an instance of Selected
|
|
that may be specified as:
|
|
- An instance of :class:`plotly.graph_objs.scatterpolar.Selected`
|
|
- A dict of string/value properties that will be passed
|
|
to the Selected constructor
|
|
|
|
Returns
|
|
-------
|
|
plotly.graph_objs.scatterpolar.Selected
|
|
"""
|
|
return self["selected"]
|
|
|
|
@selected.setter
|
|
def selected(self, val):
|
|
self["selected"] = val
|
|
|
|
@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
|
|
|
|
@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
|
|
|
|
@property
|
|
def stream(self):
|
|
"""
|
|
The 'stream' property is an instance of Stream
|
|
that may be specified as:
|
|
- An instance of :class:`plotly.graph_objs.scatterpolar.Stream`
|
|
- A dict of string/value properties that will be passed
|
|
to the Stream constructor
|
|
|
|
Returns
|
|
-------
|
|
plotly.graph_objs.scatterpolar.Stream
|
|
"""
|
|
return self["stream"]
|
|
|
|
@stream.setter
|
|
def stream(self, val):
|
|
self["stream"] = val
|
|
|
|
@property
|
|
def subplot(self):
|
|
"""
|
|
Sets a reference between this trace's data coordinates and a
|
|
polar subplot. If "polar" (the default value), the data refer
|
|
to `layout.polar`. If "polar2", the data refer to
|
|
`layout.polar2`, and so on.
|
|
|
|
The 'subplot' property is an identifier of a particular
|
|
subplot, of type 'polar', that may be specified as the string 'polar'
|
|
optionally followed by an integer >= 1
|
|
(e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.)
|
|
|
|
Returns
|
|
-------
|
|
str
|
|
"""
|
|
return self["subplot"]
|
|
|
|
@subplot.setter
|
|
def subplot(self, val):
|
|
self["subplot"] = val
|
|
|
|
@property
|
|
def text(self):
|
|
"""
|
|
Sets text elements associated with each (x,y) pair. 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 the this
|
|
trace's (x,y) coordinates. If trace `hoverinfo` contains a
|
|
"text" flag and "hovertext" is not set, these elements will be
|
|
seen in the hover labels.
|
|
|
|
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
|
|
|
|
@property
|
|
def textfont(self):
|
|
"""
|
|
Sets the text font.
|
|
|
|
The 'textfont' property is an instance of Textfont
|
|
that may be specified as:
|
|
- An instance of :class:`plotly.graph_objs.scatterpolar.Textfont`
|
|
- A dict of string/value properties that will be passed
|
|
to the Textfont constructor
|
|
|
|
Returns
|
|
-------
|
|
plotly.graph_objs.scatterpolar.Textfont
|
|
"""
|
|
return self["textfont"]
|
|
|
|
@textfont.setter
|
|
def textfont(self, val):
|
|
self["textfont"] = val
|
|
|
|
@property
|
|
def textposition(self):
|
|
"""
|
|
Sets the positions of the `text` elements with respects to the
|
|
(x,y) coordinates.
|
|
|
|
The 'textposition' property is an enumeration that may be specified as:
|
|
- One of the following enumeration values:
|
|
['top left', 'top center', 'top right', 'middle left',
|
|
'middle center', 'middle right', 'bottom left', 'bottom
|
|
center', 'bottom right']
|
|
- A tuple, list, or one-dimensional numpy array of the above
|
|
|
|
Returns
|
|
-------
|
|
Any|numpy.ndarray
|
|
"""
|
|
return self["textposition"]
|
|
|
|
@textposition.setter
|
|
def textposition(self, val):
|
|
self["textposition"] = val
|
|
|
|
@property
|
|
def textpositionsrc(self):
|
|
"""
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`textposition`.
|
|
|
|
The 'textpositionsrc' property must be specified as a string or
|
|
as a plotly.grid_objs.Column object
|
|
|
|
Returns
|
|
-------
|
|
str
|
|
"""
|
|
return self["textpositionsrc"]
|
|
|
|
@textpositionsrc.setter
|
|
def textpositionsrc(self, val):
|
|
self["textpositionsrc"] = val
|
|
|
|
@property
|
|
def textsrc(self):
|
|
"""
|
|
Sets the source reference on Chart Studio Cloud 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
|
|
|
|
@property
|
|
def texttemplate(self):
|
|
"""
|
|
Template string used for rendering the information text that
|
|
appear on points. Note that this will override `textinfo`.
|
|
Variables are inserted using %{variable}, for example "y:
|
|
%{y}". Numbers are formatted using d3-format's syntax
|
|
%{variable:d3-format}, for example "Price: %{y:$.2f}".
|
|
https://github.com/d3/d3-format/tree/v1.4.5#d3-format for
|
|
details on the formatting syntax. Dates are formatted using
|
|
d3-time-format's syntax %{variable|d3-time-format}, for example
|
|
"Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-
|
|
format/tree/v2.2.3#locale_format for details on the date
|
|
formatting syntax. Every attributes that can be specified per-
|
|
point (the ones that are `arrayOk: true`) are available.
|
|
Finally, the template string has access to variables `r`,
|
|
`theta` and `text`.
|
|
|
|
The 'texttemplate' 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["texttemplate"]
|
|
|
|
@texttemplate.setter
|
|
def texttemplate(self, val):
|
|
self["texttemplate"] = val
|
|
|
|
@property
|
|
def texttemplatesrc(self):
|
|
"""
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`texttemplate`.
|
|
|
|
The 'texttemplatesrc' property must be specified as a string or
|
|
as a plotly.grid_objs.Column object
|
|
|
|
Returns
|
|
-------
|
|
str
|
|
"""
|
|
return self["texttemplatesrc"]
|
|
|
|
@texttemplatesrc.setter
|
|
def texttemplatesrc(self, val):
|
|
self["texttemplatesrc"] = val
|
|
|
|
@property
|
|
def theta(self):
|
|
"""
|
|
Sets the angular coordinates
|
|
|
|
The 'theta' property is an array that may be specified as a tuple,
|
|
list, numpy array, or pandas Series
|
|
|
|
Returns
|
|
-------
|
|
numpy.ndarray
|
|
"""
|
|
return self["theta"]
|
|
|
|
@theta.setter
|
|
def theta(self, val):
|
|
self["theta"] = val
|
|
|
|
@property
|
|
def theta0(self):
|
|
"""
|
|
Alternate to `theta`. Builds a linear space of theta
|
|
coordinates. Use with `dtheta` where `theta0` is the starting
|
|
coordinate and `dtheta` the step.
|
|
|
|
The 'theta0' property accepts values of any type
|
|
|
|
Returns
|
|
-------
|
|
Any
|
|
"""
|
|
return self["theta0"]
|
|
|
|
@theta0.setter
|
|
def theta0(self, val):
|
|
self["theta0"] = val
|
|
|
|
@property
|
|
def thetasrc(self):
|
|
"""
|
|
Sets the source reference on Chart Studio Cloud for `theta`.
|
|
|
|
The 'thetasrc' property must be specified as a string or
|
|
as a plotly.grid_objs.Column object
|
|
|
|
Returns
|
|
-------
|
|
str
|
|
"""
|
|
return self["thetasrc"]
|
|
|
|
@thetasrc.setter
|
|
def thetasrc(self, val):
|
|
self["thetasrc"] = val
|
|
|
|
@property
|
|
def thetaunit(self):
|
|
"""
|
|
Sets the unit of input "theta" values. Has an effect only when
|
|
on "linear" angular axes.
|
|
|
|
The 'thetaunit' property is an enumeration that may be specified as:
|
|
- One of the following enumeration values:
|
|
['radians', 'degrees', 'gradians']
|
|
|
|
Returns
|
|
-------
|
|
Any
|
|
"""
|
|
return self["thetaunit"]
|
|
|
|
@thetaunit.setter
|
|
def thetaunit(self, val):
|
|
self["thetaunit"] = val
|
|
|
|
@property
|
|
def uid(self):
|
|
"""
|
|
Assign an id to this trace, Use this to provide object
|
|
constancy between traces during animations and transitions.
|
|
|
|
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
|
|
|
|
@property
|
|
def uirevision(self):
|
|
"""
|
|
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.
|
|
|
|
The 'uirevision' property accepts values of any type
|
|
|
|
Returns
|
|
-------
|
|
Any
|
|
"""
|
|
return self["uirevision"]
|
|
|
|
@uirevision.setter
|
|
def uirevision(self, val):
|
|
self["uirevision"] = val
|
|
|
|
@property
|
|
def unselected(self):
|
|
"""
|
|
The 'unselected' property is an instance of Unselected
|
|
that may be specified as:
|
|
- An instance of :class:`plotly.graph_objs.scatterpolar.Unselected`
|
|
- A dict of string/value properties that will be passed
|
|
to the Unselected constructor
|
|
|
|
Returns
|
|
-------
|
|
plotly.graph_objs.scatterpolar.Unselected
|
|
"""
|
|
return self["unselected"]
|
|
|
|
@unselected.setter
|
|
def unselected(self, val):
|
|
self["unselected"] = val
|
|
|
|
@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
|
|
|
|
@property
|
|
def type(self):
|
|
return self._props["type"]
|
|
|
|
@property
|
|
def _prop_descriptions(self):
|
|
return """\
|
|
cliponaxis
|
|
Determines whether or not markers and text nodes are
|
|
clipped about the subplot axes. To show markers and
|
|
text nodes above axis lines and tick labels, make sure
|
|
to set `xaxis.layer` and `yaxis.layer` to *below
|
|
traces*.
|
|
connectgaps
|
|
Determines whether or not gaps (i.e. {nan} or missing
|
|
values) in the provided data arrays are connected.
|
|
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`.
|
|
dr
|
|
Sets the r coordinate step.
|
|
dtheta
|
|
Sets the theta coordinate step. By default, the
|
|
`dtheta` step equals the subplot's period divided by
|
|
the length of the `r` coordinates.
|
|
fill
|
|
Sets the area to fill with a solid color. Use with
|
|
`fillcolor` if not "none". scatterpolar has a subset of
|
|
the options available to scatter. "toself" connects the
|
|
endpoints of the trace (or each segment of the trace if
|
|
it has gaps) into a closed shape. "tonext" fills the
|
|
space between two traces if one completely encloses the
|
|
other (eg consecutive contour lines), and behaves like
|
|
"toself" if there is no trace before it. "tonext"
|
|
should not be used if one trace does not enclose the
|
|
other.
|
|
fillcolor
|
|
Sets the fill color. Defaults to a half-transparent
|
|
variant of the line color, marker color, or marker line
|
|
color, whichever is available.
|
|
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
|
|
:class:`plotly.graph_objects.scatterpolar.Hoverlabel`
|
|
instance or dict with compatible properties
|
|
hoveron
|
|
Do the hover effects highlight individual points
|
|
(markers or line points) or do they highlight filled
|
|
regions? If the fill is "toself" or "tonext" and there
|
|
are no markers or text, then the default is "fills",
|
|
otherwise it is "points".
|
|
hovertemplate
|
|
Template string used for rendering the information that
|
|
appear on hover box. Note that this will override
|
|
`hoverinfo`. Variables are inserted using %{variable},
|
|
for example "y: %{y}" as well as %{xother}, {%_xother},
|
|
{%_xother_}, {%xother_}. When showing info for several
|
|
points, "xother" will be added to those with different
|
|
x positions from the first point. An underscore before
|
|
or after "(x|y)other" will add a space on that side,
|
|
only when this field is shown. Numbers are formatted
|
|
using d3-format's syntax %{variable:d3-format}, for
|
|
example "Price: %{y:$.2f}".
|
|
https://github.com/d3/d3-format/tree/v1.4.5#d3-format
|
|
for details on the formatting syntax. Dates are
|
|
formatted using d3-time-format's syntax
|
|
%{variable|d3-time-format}, for example "Day:
|
|
%{2019-01-01|%A}". https://github.com/d3/d3-time-
|
|
format/tree/v2.2.3#locale_format for details on the
|
|
date formatting syntax. The variables available in
|
|
`hovertemplate` are the ones emitted as event data
|
|
described at this link
|
|
https://plotly.com/javascript/plotlyjs-events/#event-
|
|
data. Additionally, every attributes that can be
|
|
specified per-point (the ones that are `arrayOk: true`)
|
|
are available. Anything contained in tag `<extra>` is
|
|
displayed in the secondary box, for example
|
|
`<extra>%{fullData.name}</extra>`. To hide the
|
|
secondary box completely, use an empty tag
|
|
`<extra></extra>`.
|
|
hovertemplatesrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`hovertemplate`.
|
|
hovertext
|
|
Sets hover text elements associated with each (x,y)
|
|
pair. 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 the this trace's (x,y)
|
|
coordinates. To be seen, trace `hoverinfo` must contain
|
|
a "text" flag.
|
|
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`.
|
|
legend
|
|
Sets the reference to a legend to show this trace in.
|
|
References to these legends are "legend", "legend2",
|
|
"legend3", etc. Settings for these legends are set in
|
|
the layout, under `layout.legend`, `layout.legend2`,
|
|
etc.
|
|
legendgroup
|
|
Sets the legend group for this trace. Traces and shapes
|
|
part of the same legend group hide/show at the same
|
|
time when toggling legend items.
|
|
legendgrouptitle
|
|
:class:`plotly.graph_objects.scatterpolar.Legendgroupti
|
|
tle` instance or dict with compatible properties
|
|
legendrank
|
|
Sets the legend rank for this trace. Items and groups
|
|
with smaller ranks are presented on top/left side while
|
|
with "reversed" `legend.traceorder` they are on
|
|
bottom/right side. The default legendrank is 1000, so
|
|
that you can use ranks less than 1000 to place certain
|
|
items before all unranked items, and ranks greater than
|
|
1000 to go after all unranked items. When having
|
|
unranked or equal rank items shapes would be displayed
|
|
after traces i.e. according to their order in data and
|
|
layout.
|
|
legendwidth
|
|
Sets the width (in px or fraction) of the legend for
|
|
this trace.
|
|
line
|
|
:class:`plotly.graph_objects.scatterpolar.Line`
|
|
instance or dict with compatible properties
|
|
marker
|
|
:class:`plotly.graph_objects.scatterpolar.Marker`
|
|
instance or dict with compatible properties
|
|
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`.
|
|
mode
|
|
Determines the drawing mode for this scatter trace. If
|
|
the provided `mode` includes "text" then the `text`
|
|
elements appear at the coordinates. Otherwise, the
|
|
`text` elements appear on hover. If there are less than
|
|
20 points and the trace is not stacked then the default
|
|
is "lines+markers". Otherwise, "lines".
|
|
name
|
|
Sets the trace name. The trace name appears as the
|
|
legend item and on hover.
|
|
opacity
|
|
Sets the opacity of the trace.
|
|
r
|
|
Sets the radial coordinates
|
|
r0
|
|
Alternate to `r`. Builds a linear space of r
|
|
coordinates. Use with `dr` where `r0` is the starting
|
|
coordinate and `dr` the step.
|
|
rsrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`r`.
|
|
selected
|
|
:class:`plotly.graph_objects.scatterpolar.Selected`
|
|
instance or dict with compatible properties
|
|
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
|
|
:class:`plotly.graph_objects.scatterpolar.Stream`
|
|
instance or dict with compatible properties
|
|
subplot
|
|
Sets a reference between this trace's data coordinates
|
|
and a polar subplot. If "polar" (the default value),
|
|
the data refer to `layout.polar`. If "polar2", the data
|
|
refer to `layout.polar2`, and so on.
|
|
text
|
|
Sets text elements associated with each (x,y) pair. 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 the this trace's (x,y) coordinates.
|
|
If trace `hoverinfo` contains a "text" flag and
|
|
"hovertext" is not set, these elements will be seen in
|
|
the hover labels.
|
|
textfont
|
|
Sets the text font.
|
|
textposition
|
|
Sets the positions of the `text` elements with respects
|
|
to the (x,y) coordinates.
|
|
textpositionsrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`textposition`.
|
|
textsrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`text`.
|
|
texttemplate
|
|
Template string used for rendering the information text
|
|
that appear on points. Note that this will override
|
|
`textinfo`. Variables are inserted using %{variable},
|
|
for example "y: %{y}". Numbers are formatted using
|
|
d3-format's syntax %{variable:d3-format}, for example
|
|
"Price: %{y:$.2f}".
|
|
https://github.com/d3/d3-format/tree/v1.4.5#d3-format
|
|
for details on the formatting syntax. Dates are
|
|
formatted using d3-time-format's syntax
|
|
%{variable|d3-time-format}, for example "Day:
|
|
%{2019-01-01|%A}". https://github.com/d3/d3-time-
|
|
format/tree/v2.2.3#locale_format for details on the
|
|
date formatting syntax. Every attributes that can be
|
|
specified per-point (the ones that are `arrayOk: true`)
|
|
are available. Finally, the template string has access
|
|
to variables `r`, `theta` and `text`.
|
|
texttemplatesrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`texttemplate`.
|
|
theta
|
|
Sets the angular coordinates
|
|
theta0
|
|
Alternate to `theta`. Builds a linear space of theta
|
|
coordinates. Use with `dtheta` where `theta0` is the
|
|
starting coordinate and `dtheta` the step.
|
|
thetasrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`theta`.
|
|
thetaunit
|
|
Sets the unit of input "theta" values. Has an effect
|
|
only when on "linear" angular axes.
|
|
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.
|
|
unselected
|
|
:class:`plotly.graph_objects.scatterpolar.Unselected`
|
|
instance or dict with compatible properties
|
|
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).
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
arg=None,
|
|
cliponaxis=None,
|
|
connectgaps=None,
|
|
customdata=None,
|
|
customdatasrc=None,
|
|
dr=None,
|
|
dtheta=None,
|
|
fill=None,
|
|
fillcolor=None,
|
|
hoverinfo=None,
|
|
hoverinfosrc=None,
|
|
hoverlabel=None,
|
|
hoveron=None,
|
|
hovertemplate=None,
|
|
hovertemplatesrc=None,
|
|
hovertext=None,
|
|
hovertextsrc=None,
|
|
ids=None,
|
|
idssrc=None,
|
|
legend=None,
|
|
legendgroup=None,
|
|
legendgrouptitle=None,
|
|
legendrank=None,
|
|
legendwidth=None,
|
|
line=None,
|
|
marker=None,
|
|
meta=None,
|
|
metasrc=None,
|
|
mode=None,
|
|
name=None,
|
|
opacity=None,
|
|
r=None,
|
|
r0=None,
|
|
rsrc=None,
|
|
selected=None,
|
|
selectedpoints=None,
|
|
showlegend=None,
|
|
stream=None,
|
|
subplot=None,
|
|
text=None,
|
|
textfont=None,
|
|
textposition=None,
|
|
textpositionsrc=None,
|
|
textsrc=None,
|
|
texttemplate=None,
|
|
texttemplatesrc=None,
|
|
theta=None,
|
|
theta0=None,
|
|
thetasrc=None,
|
|
thetaunit=None,
|
|
uid=None,
|
|
uirevision=None,
|
|
unselected=None,
|
|
visible=None,
|
|
**kwargs,
|
|
):
|
|
"""
|
|
Construct a new Scatterpolar object
|
|
|
|
The scatterpolar trace type encompasses line charts, scatter
|
|
charts, text charts, and bubble charts in polar coordinates.
|
|
The data visualized as scatter point or lines is set in `r`
|
|
(radial) and `theta` (angular) coordinates Text (appearing
|
|
either on the chart or on hover only) is via `text`. Bubble
|
|
charts are achieved by setting `marker.size` and/or
|
|
`marker.color` to numerical arrays.
|
|
|
|
Parameters
|
|
----------
|
|
arg
|
|
dict of properties compatible with this constructor or
|
|
an instance of :class:`plotly.graph_objs.Scatterpolar`
|
|
cliponaxis
|
|
Determines whether or not markers and text nodes are
|
|
clipped about the subplot axes. To show markers and
|
|
text nodes above axis lines and tick labels, make sure
|
|
to set `xaxis.layer` and `yaxis.layer` to *below
|
|
traces*.
|
|
connectgaps
|
|
Determines whether or not gaps (i.e. {nan} or missing
|
|
values) in the provided data arrays are connected.
|
|
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`.
|
|
dr
|
|
Sets the r coordinate step.
|
|
dtheta
|
|
Sets the theta coordinate step. By default, the
|
|
`dtheta` step equals the subplot's period divided by
|
|
the length of the `r` coordinates.
|
|
fill
|
|
Sets the area to fill with a solid color. Use with
|
|
`fillcolor` if not "none". scatterpolar has a subset of
|
|
the options available to scatter. "toself" connects the
|
|
endpoints of the trace (or each segment of the trace if
|
|
it has gaps) into a closed shape. "tonext" fills the
|
|
space between two traces if one completely encloses the
|
|
other (eg consecutive contour lines), and behaves like
|
|
"toself" if there is no trace before it. "tonext"
|
|
should not be used if one trace does not enclose the
|
|
other.
|
|
fillcolor
|
|
Sets the fill color. Defaults to a half-transparent
|
|
variant of the line color, marker color, or marker line
|
|
color, whichever is available.
|
|
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
|
|
:class:`plotly.graph_objects.scatterpolar.Hoverlabel`
|
|
instance or dict with compatible properties
|
|
hoveron
|
|
Do the hover effects highlight individual points
|
|
(markers or line points) or do they highlight filled
|
|
regions? If the fill is "toself" or "tonext" and there
|
|
are no markers or text, then the default is "fills",
|
|
otherwise it is "points".
|
|
hovertemplate
|
|
Template string used for rendering the information that
|
|
appear on hover box. Note that this will override
|
|
`hoverinfo`. Variables are inserted using %{variable},
|
|
for example "y: %{y}" as well as %{xother}, {%_xother},
|
|
{%_xother_}, {%xother_}. When showing info for several
|
|
points, "xother" will be added to those with different
|
|
x positions from the first point. An underscore before
|
|
or after "(x|y)other" will add a space on that side,
|
|
only when this field is shown. Numbers are formatted
|
|
using d3-format's syntax %{variable:d3-format}, for
|
|
example "Price: %{y:$.2f}".
|
|
https://github.com/d3/d3-format/tree/v1.4.5#d3-format
|
|
for details on the formatting syntax. Dates are
|
|
formatted using d3-time-format's syntax
|
|
%{variable|d3-time-format}, for example "Day:
|
|
%{2019-01-01|%A}". https://github.com/d3/d3-time-
|
|
format/tree/v2.2.3#locale_format for details on the
|
|
date formatting syntax. The variables available in
|
|
`hovertemplate` are the ones emitted as event data
|
|
described at this link
|
|
https://plotly.com/javascript/plotlyjs-events/#event-
|
|
data. Additionally, every attributes that can be
|
|
specified per-point (the ones that are `arrayOk: true`)
|
|
are available. Anything contained in tag `<extra>` is
|
|
displayed in the secondary box, for example
|
|
`<extra>%{fullData.name}</extra>`. To hide the
|
|
secondary box completely, use an empty tag
|
|
`<extra></extra>`.
|
|
hovertemplatesrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`hovertemplate`.
|
|
hovertext
|
|
Sets hover text elements associated with each (x,y)
|
|
pair. 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 the this trace's (x,y)
|
|
coordinates. To be seen, trace `hoverinfo` must contain
|
|
a "text" flag.
|
|
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`.
|
|
legend
|
|
Sets the reference to a legend to show this trace in.
|
|
References to these legends are "legend", "legend2",
|
|
"legend3", etc. Settings for these legends are set in
|
|
the layout, under `layout.legend`, `layout.legend2`,
|
|
etc.
|
|
legendgroup
|
|
Sets the legend group for this trace. Traces and shapes
|
|
part of the same legend group hide/show at the same
|
|
time when toggling legend items.
|
|
legendgrouptitle
|
|
:class:`plotly.graph_objects.scatterpolar.Legendgroupti
|
|
tle` instance or dict with compatible properties
|
|
legendrank
|
|
Sets the legend rank for this trace. Items and groups
|
|
with smaller ranks are presented on top/left side while
|
|
with "reversed" `legend.traceorder` they are on
|
|
bottom/right side. The default legendrank is 1000, so
|
|
that you can use ranks less than 1000 to place certain
|
|
items before all unranked items, and ranks greater than
|
|
1000 to go after all unranked items. When having
|
|
unranked or equal rank items shapes would be displayed
|
|
after traces i.e. according to their order in data and
|
|
layout.
|
|
legendwidth
|
|
Sets the width (in px or fraction) of the legend for
|
|
this trace.
|
|
line
|
|
:class:`plotly.graph_objects.scatterpolar.Line`
|
|
instance or dict with compatible properties
|
|
marker
|
|
:class:`plotly.graph_objects.scatterpolar.Marker`
|
|
instance or dict with compatible properties
|
|
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`.
|
|
mode
|
|
Determines the drawing mode for this scatter trace. If
|
|
the provided `mode` includes "text" then the `text`
|
|
elements appear at the coordinates. Otherwise, the
|
|
`text` elements appear on hover. If there are less than
|
|
20 points and the trace is not stacked then the default
|
|
is "lines+markers". Otherwise, "lines".
|
|
name
|
|
Sets the trace name. The trace name appears as the
|
|
legend item and on hover.
|
|
opacity
|
|
Sets the opacity of the trace.
|
|
r
|
|
Sets the radial coordinates
|
|
r0
|
|
Alternate to `r`. Builds a linear space of r
|
|
coordinates. Use with `dr` where `r0` is the starting
|
|
coordinate and `dr` the step.
|
|
rsrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`r`.
|
|
selected
|
|
:class:`plotly.graph_objects.scatterpolar.Selected`
|
|
instance or dict with compatible properties
|
|
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
|
|
:class:`plotly.graph_objects.scatterpolar.Stream`
|
|
instance or dict with compatible properties
|
|
subplot
|
|
Sets a reference between this trace's data coordinates
|
|
and a polar subplot. If "polar" (the default value),
|
|
the data refer to `layout.polar`. If "polar2", the data
|
|
refer to `layout.polar2`, and so on.
|
|
text
|
|
Sets text elements associated with each (x,y) pair. 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 the this trace's (x,y) coordinates.
|
|
If trace `hoverinfo` contains a "text" flag and
|
|
"hovertext" is not set, these elements will be seen in
|
|
the hover labels.
|
|
textfont
|
|
Sets the text font.
|
|
textposition
|
|
Sets the positions of the `text` elements with respects
|
|
to the (x,y) coordinates.
|
|
textpositionsrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`textposition`.
|
|
textsrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`text`.
|
|
texttemplate
|
|
Template string used for rendering the information text
|
|
that appear on points. Note that this will override
|
|
`textinfo`. Variables are inserted using %{variable},
|
|
for example "y: %{y}". Numbers are formatted using
|
|
d3-format's syntax %{variable:d3-format}, for example
|
|
"Price: %{y:$.2f}".
|
|
https://github.com/d3/d3-format/tree/v1.4.5#d3-format
|
|
for details on the formatting syntax. Dates are
|
|
formatted using d3-time-format's syntax
|
|
%{variable|d3-time-format}, for example "Day:
|
|
%{2019-01-01|%A}". https://github.com/d3/d3-time-
|
|
format/tree/v2.2.3#locale_format for details on the
|
|
date formatting syntax. Every attributes that can be
|
|
specified per-point (the ones that are `arrayOk: true`)
|
|
are available. Finally, the template string has access
|
|
to variables `r`, `theta` and `text`.
|
|
texttemplatesrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`texttemplate`.
|
|
theta
|
|
Sets the angular coordinates
|
|
theta0
|
|
Alternate to `theta`. Builds a linear space of theta
|
|
coordinates. Use with `dtheta` where `theta0` is the
|
|
starting coordinate and `dtheta` the step.
|
|
thetasrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`theta`.
|
|
thetaunit
|
|
Sets the unit of input "theta" values. Has an effect
|
|
only when on "linear" angular axes.
|
|
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.
|
|
unselected
|
|
:class:`plotly.graph_objects.scatterpolar.Unselected`
|
|
instance or dict with compatible properties
|
|
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).
|
|
|
|
Returns
|
|
-------
|
|
Scatterpolar
|
|
"""
|
|
super().__init__("scatterpolar")
|
|
if "_parent" in kwargs:
|
|
self._parent = kwargs["_parent"]
|
|
return
|
|
|
|
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.Scatterpolar
|
|
constructor must be a dict or
|
|
an instance of :class:`plotly.graph_objs.Scatterpolar`""")
|
|
|
|
self._skip_invalid = kwargs.pop("skip_invalid", False)
|
|
self._validate = kwargs.pop("_validate", True)
|
|
|
|
self._set_property("cliponaxis", arg, cliponaxis)
|
|
self._set_property("connectgaps", arg, connectgaps)
|
|
self._set_property("customdata", arg, customdata)
|
|
self._set_property("customdatasrc", arg, customdatasrc)
|
|
self._set_property("dr", arg, dr)
|
|
self._set_property("dtheta", arg, dtheta)
|
|
self._set_property("fill", arg, fill)
|
|
self._set_property("fillcolor", arg, fillcolor)
|
|
self._set_property("hoverinfo", arg, hoverinfo)
|
|
self._set_property("hoverinfosrc", arg, hoverinfosrc)
|
|
self._set_property("hoverlabel", arg, hoverlabel)
|
|
self._set_property("hoveron", arg, hoveron)
|
|
self._set_property("hovertemplate", arg, hovertemplate)
|
|
self._set_property("hovertemplatesrc", arg, hovertemplatesrc)
|
|
self._set_property("hovertext", arg, hovertext)
|
|
self._set_property("hovertextsrc", arg, hovertextsrc)
|
|
self._set_property("ids", arg, ids)
|
|
self._set_property("idssrc", arg, idssrc)
|
|
self._set_property("legend", arg, legend)
|
|
self._set_property("legendgroup", arg, legendgroup)
|
|
self._set_property("legendgrouptitle", arg, legendgrouptitle)
|
|
self._set_property("legendrank", arg, legendrank)
|
|
self._set_property("legendwidth", arg, legendwidth)
|
|
self._set_property("line", arg, line)
|
|
self._set_property("marker", arg, marker)
|
|
self._set_property("meta", arg, meta)
|
|
self._set_property("metasrc", arg, metasrc)
|
|
self._set_property("mode", arg, mode)
|
|
self._set_property("name", arg, name)
|
|
self._set_property("opacity", arg, opacity)
|
|
self._set_property("r", arg, r)
|
|
self._set_property("r0", arg, r0)
|
|
self._set_property("rsrc", arg, rsrc)
|
|
self._set_property("selected", arg, selected)
|
|
self._set_property("selectedpoints", arg, selectedpoints)
|
|
self._set_property("showlegend", arg, showlegend)
|
|
self._set_property("stream", arg, stream)
|
|
self._set_property("subplot", arg, subplot)
|
|
self._set_property("text", arg, text)
|
|
self._set_property("textfont", arg, textfont)
|
|
self._set_property("textposition", arg, textposition)
|
|
self._set_property("textpositionsrc", arg, textpositionsrc)
|
|
self._set_property("textsrc", arg, textsrc)
|
|
self._set_property("texttemplate", arg, texttemplate)
|
|
self._set_property("texttemplatesrc", arg, texttemplatesrc)
|
|
self._set_property("theta", arg, theta)
|
|
self._set_property("theta0", arg, theta0)
|
|
self._set_property("thetasrc", arg, thetasrc)
|
|
self._set_property("thetaunit", arg, thetaunit)
|
|
self._set_property("uid", arg, uid)
|
|
self._set_property("uirevision", arg, uirevision)
|
|
self._set_property("unselected", arg, unselected)
|
|
self._set_property("visible", arg, visible)
|
|
|
|
self._props["type"] = "scatterpolar"
|
|
arg.pop("type", None)
|
|
self._process_kwargs(**dict(arg, **kwargs))
|
|
self._skip_invalid = False
|