from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "histogram2dcontour"
_path_str = "histogram2dcontour.marker"
_valid_props = {"color", "colorsrc"}
# color
# -----
@property
def color(self):
"""
Sets the aggregation data.
The 'color' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["color"]
@color.setter
def color(self, val):
self["color"] = val
# colorsrc
# --------
@property
def colorsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `color`.
The 'colorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["colorsrc"]
@colorsrc.setter
def colorsrc(self, val):
self["colorsrc"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
color
Sets the aggregation data.
colorsrc
Sets the source reference on Chart Studio Cloud for
`color`.
"""
def __init__(self, arg=None, color=None, colorsrc=None, **kwargs):
"""
Construct a new Marker object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.histogram2dcontour.Marker`
color
Sets the aggregation data.
colorsrc
Sets the source reference on Chart Studio Cloud for
`color`.
Returns
-------
Marker
"""
super(Marker, self).__init__("marker")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.histogram2dcontour.Marker
constructor must be a dict or
an instance of :class:`plotly.graph_objs.histogram2dcontour.Marker`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("colorsrc", None)
_v = colorsrc if colorsrc is not None else _v
if _v is not None:
self["colorsrc"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False