2022-05-23 00:16:32 +04:00

359 lines
11 KiB
Python

from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Dimension(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "splom"
_path_str = "splom.dimension"
_valid_props = {
"axis",
"label",
"name",
"templateitemname",
"values",
"valuessrc",
"visible",
}
# axis
# ----
@property
def axis(self):
"""
The 'axis' property is an instance of Axis
that may be specified as:
- An instance of :class:`plotly.graph_objs.splom.dimension.Axis`
- A dict of string/value properties that will be passed
to the Axis constructor
Supported dict properties:
matches
Determines whether or not the x & y axes
generated by this dimension match. Equivalent
to setting the `matches` axis attribute in the
layout with the correct axis id.
type
Sets the axis type for this dimension's
generated x and y axes. Note that the axis
`type` values set in layout take precedence
over this attribute.
Returns
-------
plotly.graph_objs.splom.dimension.Axis
"""
return self["axis"]
@axis.setter
def axis(self, val):
self["axis"] = val
# label
# -----
@property
def label(self):
"""
Sets the label corresponding to this splom dimension.
The 'label' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["label"]
@label.setter
def label(self, val):
self["label"] = val
# name
# ----
@property
def name(self):
"""
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications (including `visible: false`
or `enabled: false` to hide it). Has no effect outside of a
template.
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
# templateitemname
# ----------------
@property
def templateitemname(self):
"""
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (including `visible: false` or
`enabled: false` to hide it). If there is no template or no
matching item, this item will be hidden unless you explicitly
show it with `visible: true`.
The 'templateitemname' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["templateitemname"]
@templateitemname.setter
def templateitemname(self, val):
self["templateitemname"] = val
# values
# ------
@property
def values(self):
"""
Sets the dimension values to be plotted.
The 'values' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["values"]
@values.setter
def values(self, val):
self["values"] = val
# valuessrc
# ---------
@property
def valuessrc(self):
"""
Sets the source reference on Chart Studio Cloud for `values`.
The 'valuessrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["valuessrc"]
@valuessrc.setter
def valuessrc(self, val):
self["valuessrc"] = val
# visible
# -------
@property
def visible(self):
"""
Determines whether or not this dimension is shown on the graph.
Note that even visible false dimension contribute to the
default grid generate by this splom trace.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["visible"]
@visible.setter
def visible(self, val):
self["visible"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
axis
:class:`plotly.graph_objects.splom.dimension.Axis`
instance or dict with compatible properties
label
Sets the label corresponding to this splom dimension.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
values
Sets the dimension values to be plotted.
valuessrc
Sets the source reference on Chart Studio Cloud for
`values`.
visible
Determines whether or not this dimension is shown on
the graph. Note that even visible false dimension
contribute to the default grid generate by this splom
trace.
"""
def __init__(
self,
arg=None,
axis=None,
label=None,
name=None,
templateitemname=None,
values=None,
valuessrc=None,
visible=None,
**kwargs,
):
"""
Construct a new Dimension object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.splom.Dimension`
axis
:class:`plotly.graph_objects.splom.dimension.Axis`
instance or dict with compatible properties
label
Sets the label corresponding to this splom dimension.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
values
Sets the dimension values to be plotted.
valuessrc
Sets the source reference on Chart Studio Cloud for
`values`.
visible
Determines whether or not this dimension is shown on
the graph. Note that even visible false dimension
contribute to the default grid generate by this splom
trace.
Returns
-------
Dimension
"""
super(Dimension, self).__init__("dimensions")
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.splom.Dimension
constructor must be a dict or
an instance of :class:`plotly.graph_objs.splom.Dimension`"""
)
# 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("axis", None)
_v = axis if axis is not None else _v
if _v is not None:
self["axis"] = _v
_v = arg.pop("label", None)
_v = label if label is not None else _v
if _v is not None:
self["label"] = _v
_v = arg.pop("name", None)
_v = name if name is not None else _v
if _v is not None:
self["name"] = _v
_v = arg.pop("templateitemname", None)
_v = templateitemname if templateitemname is not None else _v
if _v is not None:
self["templateitemname"] = _v
_v = arg.pop("values", None)
_v = values if values is not None else _v
if _v is not None:
self["values"] = _v
_v = arg.pop("valuessrc", None)
_v = valuessrc if valuessrc is not None else _v
if _v is not None:
self["valuessrc"] = _v
_v = arg.pop("visible", None)
_v = visible if visible is not None else _v
if _v is not None:
self["visible"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False