909 lines
30 KiB
Python
909 lines
30 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 Table(_BaseTraceType):
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_parent_path_str = ""
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_path_str = "table"
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_valid_props = {
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"cells",
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"columnorder",
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"columnordersrc",
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"columnwidth",
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"columnwidthsrc",
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"customdata",
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"customdatasrc",
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"domain",
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"header",
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"hoverinfo",
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"hoverinfosrc",
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"hoverlabel",
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"ids",
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"idssrc",
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"legend",
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"legendgrouptitle",
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"legendrank",
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"legendwidth",
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"meta",
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"metasrc",
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"name",
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"stream",
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"type",
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"uid",
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"uirevision",
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"visible",
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}
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@property
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def cells(self):
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"""
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The 'cells' property is an instance of Cells
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.table.Cells`
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- A dict of string/value properties that will be passed
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to the Cells constructor
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Returns
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-------
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plotly.graph_objs.table.Cells
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"""
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return self["cells"]
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@cells.setter
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def cells(self, val):
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self["cells"] = val
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@property
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def columnorder(self):
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"""
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Specifies the rendered order of the data columns; for example,
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a value `2` at position `0` means that column index `0` in the
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data will be rendered as the third column, as columns have an
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index base of zero.
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The 'columnorder' 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["columnorder"]
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@columnorder.setter
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def columnorder(self, val):
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self["columnorder"] = val
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@property
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def columnordersrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for
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`columnorder`.
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The 'columnordersrc' 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["columnordersrc"]
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@columnordersrc.setter
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def columnordersrc(self, val):
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self["columnordersrc"] = val
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@property
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def columnwidth(self):
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"""
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The width of columns expressed as a ratio. Columns fill the
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available width in proportion of their specified column widths.
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The 'columnwidth' property is a number and may be specified as:
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- An int or float
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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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int|float|numpy.ndarray
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"""
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return self["columnwidth"]
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@columnwidth.setter
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def columnwidth(self, val):
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self["columnwidth"] = val
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@property
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def columnwidthsrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for
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`columnwidth`.
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The 'columnwidthsrc' 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["columnwidthsrc"]
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@columnwidthsrc.setter
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def columnwidthsrc(self, val):
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self["columnwidthsrc"] = 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 domain(self):
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"""
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The 'domain' property is an instance of Domain
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.table.Domain`
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- A dict of string/value properties that will be passed
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to the Domain constructor
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Returns
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-------
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plotly.graph_objs.table.Domain
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"""
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return self["domain"]
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@domain.setter
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def domain(self, val):
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self["domain"] = val
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@property
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def header(self):
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"""
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The 'header' property is an instance of Header
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.table.Header`
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- A dict of string/value properties that will be passed
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to the Header constructor
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Returns
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-------
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plotly.graph_objs.table.Header
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"""
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return self["header"]
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@header.setter
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def header(self, val):
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self["header"] = 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 ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
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(e.g. 'x+y')
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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.table.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.table.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 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 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.table.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.table.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 meta(self):
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"""
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Assigns extra meta information associated with this trace that
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can be used in various text attributes. Attributes such as
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trace `name`, graph, axis and colorbar `title.text`, annotation
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`text` `rangeselector`, `updatemenues` and `sliders` `label`
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text all support `meta`. To access the trace `meta` values in
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an attribute in the same trace, simply use `%{meta[i]}` where
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`i` is the index or key of the `meta` item in question. To
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access trace `meta` in layout attributes, use
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`%{data[n[.meta[i]}` where `i` is the index or key of the
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`meta` and `n` is the trace index.
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The 'meta' property accepts values of any type
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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["meta"]
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@meta.setter
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def meta(self, val):
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self["meta"] = val
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@property
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def metasrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `meta`.
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The 'metasrc' 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["metasrc"]
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@metasrc.setter
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def metasrc(self, val):
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self["metasrc"] = val
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@property
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def name(self):
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"""
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Sets the trace name. The trace name appears as the legend item
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and on hover.
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The 'name' 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["name"]
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@name.setter
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def name(self, val):
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self["name"] = val
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@property
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def stream(self):
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"""
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The 'stream' property is an instance of Stream
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.table.Stream`
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- A dict of string/value properties that will be passed
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to the Stream constructor
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Returns
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-------
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plotly.graph_objs.table.Stream
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"""
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return self["stream"]
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@stream.setter
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def stream(self, val):
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self["stream"] = val
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@property
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def uid(self):
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"""
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Assign an id to this trace, Use this to provide object
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constancy between traces during animations and transitions.
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The 'uid' 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["uid"]
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@uid.setter
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def uid(self, val):
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self["uid"] = val
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@property
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def uirevision(self):
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"""
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Controls persistence of some user-driven changes to the trace:
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`constraintrange` in `parcoords` traces, as well as some
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`editable: true` modifications such as `name` and
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`colorbar.title`. Defaults to `layout.uirevision`. Note that
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other user-driven trace attribute changes are controlled by
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`layout` attributes: `trace.visible` is controlled by
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`layout.legend.uirevision`, `selectedpoints` is controlled by
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`layout.selectionrevision`, and `colorbar.(x|y)` (accessible
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with `config: {editable: true}`) is controlled by
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`layout.editrevision`. Trace changes are tracked by `uid`,
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which only falls back on trace index if no `uid` is provided.
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So if your app can add/remove traces before the end of the
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`data` array, such that the same trace has a different index,
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you can still preserve user-driven changes if you give each
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trace a `uid` that stays with it as it moves.
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The 'uirevision' property accepts values of any type
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Returns
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-------
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Any
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"""
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return self["uirevision"]
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@uirevision.setter
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def uirevision(self, val):
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self["uirevision"] = val
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@property
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def visible(self):
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"""
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Determines whether or not this trace is visible. If
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"legendonly", the trace is not drawn, but can appear as a
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legend item (provided that the legend itself is visible).
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The 'visible' property is an enumeration that may be specified as:
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- One of the following enumeration values:
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[True, False, 'legendonly']
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Returns
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-------
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Any
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"""
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return self["visible"]
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@visible.setter
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def visible(self, val):
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self["visible"] = val
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@property
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def type(self):
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return self._props["type"]
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@property
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def _prop_descriptions(self):
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return """\
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cells
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:class:`plotly.graph_objects.table.Cells` instance or
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dict with compatible properties
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columnorder
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Specifies the rendered order of the data columns; for
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example, a value `2` at position `0` means that column
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index `0` in the data will be rendered as the third
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column, as columns have an index base of zero.
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columnordersrc
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|
Sets the source reference on Chart Studio Cloud for
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`columnorder`.
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columnwidth
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|
The width of columns expressed as a ratio. Columns fill
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the available width in proportion of their specified
|
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column widths.
|
|
columnwidthsrc
|
|
Sets the source reference on Chart Studio Cloud for
|
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`columnwidth`.
|
|
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
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|
Sets the source reference on Chart Studio Cloud for
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`customdata`.
|
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domain
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:class:`plotly.graph_objects.table.Domain` instance or
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dict with compatible properties
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header
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:class:`plotly.graph_objects.table.Header` instance or
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dict with compatible properties
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|
hoverinfo
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|
Determines which trace information appear on hover. If
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`none` or `skip` are set, no information is displayed
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|
upon hovering. But, if `none` is set, click and hover
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|
events are still fired.
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hoverinfosrc
|
|
Sets the source reference on Chart Studio Cloud for
|
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`hoverinfo`.
|
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hoverlabel
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:class:`plotly.graph_objects.table.Hoverlabel` instance
|
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or dict with compatible properties
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ids
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|
Assigns id labels to each datum. These ids for object
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|
constancy of data points during animation. Should be an
|
|
array of strings, not numbers or any other type.
|
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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.
|
|
legendgrouptitle
|
|
:class:`plotly.graph_objects.table.Legendgrouptitle`
|
|
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.
|
|
meta
|
|
Assigns extra meta information associated with this
|
|
trace that can be used in various text attributes.
|
|
Attributes such as trace `name`, graph, axis and
|
|
colorbar `title.text`, annotation `text`
|
|
`rangeselector`, `updatemenues` and `sliders` `label`
|
|
text all support `meta`. To access the trace `meta`
|
|
values in an attribute in the same trace, simply use
|
|
`%{meta[i]}` where `i` is the index or key of the
|
|
`meta` item in question. To access trace `meta` in
|
|
layout attributes, use `%{data[n[.meta[i]}` where `i`
|
|
is the index or key of the `meta` and `n` is the trace
|
|
index.
|
|
metasrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`meta`.
|
|
name
|
|
Sets the trace name. The trace name appears as the
|
|
legend item and on hover.
|
|
stream
|
|
:class:`plotly.graph_objects.table.Stream` instance or
|
|
dict with compatible properties
|
|
uid
|
|
Assign an id to this trace, Use this to provide object
|
|
constancy between traces during animations and
|
|
transitions.
|
|
uirevision
|
|
Controls persistence of some user-driven changes to the
|
|
trace: `constraintrange` in `parcoords` traces, as well
|
|
as some `editable: true` modifications such as `name`
|
|
and `colorbar.title`. Defaults to `layout.uirevision`.
|
|
Note that other user-driven trace attribute changes are
|
|
controlled by `layout` attributes: `trace.visible` is
|
|
controlled by `layout.legend.uirevision`,
|
|
`selectedpoints` is controlled by
|
|
`layout.selectionrevision`, and `colorbar.(x|y)`
|
|
(accessible with `config: {editable: true}`) is
|
|
controlled by `layout.editrevision`. Trace changes are
|
|
tracked by `uid`, which only falls back on trace index
|
|
if no `uid` is provided. So if your app can add/remove
|
|
traces before the end of the `data` array, such that
|
|
the same trace has a different index, you can still
|
|
preserve user-driven changes if you give each trace a
|
|
`uid` that stays with it as it moves.
|
|
visible
|
|
Determines whether or not this trace is visible. If
|
|
"legendonly", the trace is not drawn, but can appear as
|
|
a legend item (provided that the legend itself is
|
|
visible).
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
arg=None,
|
|
cells=None,
|
|
columnorder=None,
|
|
columnordersrc=None,
|
|
columnwidth=None,
|
|
columnwidthsrc=None,
|
|
customdata=None,
|
|
customdatasrc=None,
|
|
domain=None,
|
|
header=None,
|
|
hoverinfo=None,
|
|
hoverinfosrc=None,
|
|
hoverlabel=None,
|
|
ids=None,
|
|
idssrc=None,
|
|
legend=None,
|
|
legendgrouptitle=None,
|
|
legendrank=None,
|
|
legendwidth=None,
|
|
meta=None,
|
|
metasrc=None,
|
|
name=None,
|
|
stream=None,
|
|
uid=None,
|
|
uirevision=None,
|
|
visible=None,
|
|
**kwargs,
|
|
):
|
|
"""
|
|
Construct a new Table object
|
|
|
|
Table view for detailed data viewing. The data are arranged in
|
|
a grid of rows and columns. Most styling can be specified for
|
|
columns, rows or individual cells. Table is using a column-
|
|
major order, ie. the grid is represented as a vector of column
|
|
vectors.
|
|
|
|
Parameters
|
|
----------
|
|
arg
|
|
dict of properties compatible with this constructor or
|
|
an instance of :class:`plotly.graph_objs.Table`
|
|
cells
|
|
:class:`plotly.graph_objects.table.Cells` instance or
|
|
dict with compatible properties
|
|
columnorder
|
|
Specifies the rendered order of the data columns; for
|
|
example, a value `2` at position `0` means that column
|
|
index `0` in the data will be rendered as the third
|
|
column, as columns have an index base of zero.
|
|
columnordersrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`columnorder`.
|
|
columnwidth
|
|
The width of columns expressed as a ratio. Columns fill
|
|
the available width in proportion of their specified
|
|
column widths.
|
|
columnwidthsrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`columnwidth`.
|
|
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`.
|
|
domain
|
|
:class:`plotly.graph_objects.table.Domain` instance or
|
|
dict with compatible properties
|
|
header
|
|
:class:`plotly.graph_objects.table.Header` instance or
|
|
dict with compatible properties
|
|
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.table.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 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.
|
|
legendgrouptitle
|
|
:class:`plotly.graph_objects.table.Legendgrouptitle`
|
|
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.
|
|
meta
|
|
Assigns extra meta information associated with this
|
|
trace that can be used in various text attributes.
|
|
Attributes such as trace `name`, graph, axis and
|
|
colorbar `title.text`, annotation `text`
|
|
`rangeselector`, `updatemenues` and `sliders` `label`
|
|
text all support `meta`. To access the trace `meta`
|
|
values in an attribute in the same trace, simply use
|
|
`%{meta[i]}` where `i` is the index or key of the
|
|
`meta` item in question. To access trace `meta` in
|
|
layout attributes, use `%{data[n[.meta[i]}` where `i`
|
|
is the index or key of the `meta` and `n` is the trace
|
|
index.
|
|
metasrc
|
|
Sets the source reference on Chart Studio Cloud for
|
|
`meta`.
|
|
name
|
|
Sets the trace name. The trace name appears as the
|
|
legend item and on hover.
|
|
stream
|
|
:class:`plotly.graph_objects.table.Stream` instance or
|
|
dict with compatible properties
|
|
uid
|
|
Assign an id to this trace, Use this to provide object
|
|
constancy between traces during animations and
|
|
transitions.
|
|
uirevision
|
|
Controls persistence of some user-driven changes to the
|
|
trace: `constraintrange` in `parcoords` traces, as well
|
|
as some `editable: true` modifications such as `name`
|
|
and `colorbar.title`. Defaults to `layout.uirevision`.
|
|
Note that other user-driven trace attribute changes are
|
|
controlled by `layout` attributes: `trace.visible` is
|
|
controlled by `layout.legend.uirevision`,
|
|
`selectedpoints` is controlled by
|
|
`layout.selectionrevision`, and `colorbar.(x|y)`
|
|
(accessible with `config: {editable: true}`) is
|
|
controlled by `layout.editrevision`. Trace changes are
|
|
tracked by `uid`, which only falls back on trace index
|
|
if no `uid` is provided. So if your app can add/remove
|
|
traces before the end of the `data` array, such that
|
|
the same trace has a different index, you can still
|
|
preserve user-driven changes if you give each trace a
|
|
`uid` that stays with it as it moves.
|
|
visible
|
|
Determines whether or not this trace is visible. If
|
|
"legendonly", the trace is not drawn, but can appear as
|
|
a legend item (provided that the legend itself is
|
|
visible).
|
|
|
|
Returns
|
|
-------
|
|
Table
|
|
"""
|
|
super().__init__("table")
|
|
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.Table
|
|
constructor must be a dict or
|
|
an instance of :class:`plotly.graph_objs.Table`""")
|
|
|
|
self._skip_invalid = kwargs.pop("skip_invalid", False)
|
|
self._validate = kwargs.pop("_validate", True)
|
|
|
|
self._set_property("cells", arg, cells)
|
|
self._set_property("columnorder", arg, columnorder)
|
|
self._set_property("columnordersrc", arg, columnordersrc)
|
|
self._set_property("columnwidth", arg, columnwidth)
|
|
self._set_property("columnwidthsrc", arg, columnwidthsrc)
|
|
self._set_property("customdata", arg, customdata)
|
|
self._set_property("customdatasrc", arg, customdatasrc)
|
|
self._set_property("domain", arg, domain)
|
|
self._set_property("header", arg, header)
|
|
self._set_property("hoverinfo", arg, hoverinfo)
|
|
self._set_property("hoverinfosrc", arg, hoverinfosrc)
|
|
self._set_property("hoverlabel", arg, hoverlabel)
|
|
self._set_property("ids", arg, ids)
|
|
self._set_property("idssrc", arg, idssrc)
|
|
self._set_property("legend", arg, legend)
|
|
self._set_property("legendgrouptitle", arg, legendgrouptitle)
|
|
self._set_property("legendrank", arg, legendrank)
|
|
self._set_property("legendwidth", arg, legendwidth)
|
|
self._set_property("meta", arg, meta)
|
|
self._set_property("metasrc", arg, metasrc)
|
|
self._set_property("name", arg, name)
|
|
self._set_property("stream", arg, stream)
|
|
self._set_property("uid", arg, uid)
|
|
self._set_property("uirevision", arg, uirevision)
|
|
self._set_property("visible", arg, visible)
|
|
|
|
self._props["type"] = "table"
|
|
arg.pop("type", None)
|
|
self._process_kwargs(**dict(arg, **kwargs))
|
|
self._skip_invalid = False
|