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AzSuicideDataVisualization/.venv/Lib/site-packages/plotly/graph_objs/scatter/_fillpattern.py
Ayxan d660f2a4ca first commit
2022-05-23 00:16:32 +04:00

581 lines
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Python
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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Fillpattern(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatter"
_path_str = "scatter.fillpattern"
_valid_props = {
"bgcolor",
"bgcolorsrc",
"fgcolor",
"fgcolorsrc",
"fgopacity",
"fillmode",
"shape",
"shapesrc",
"size",
"sizesrc",
"solidity",
"soliditysrc",
}
# bgcolor
# -------
@property
def bgcolor(self):
"""
When there is no colorscale sets the color of background
pattern fill. Defaults to a `marker.color` background when
`fillmode` is "overlay". Otherwise, defaults to a transparent
background.
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A list or array of any of the above
Returns
-------
str|numpy.ndarray
"""
return self["bgcolor"]
@bgcolor.setter
def bgcolor(self, val):
self["bgcolor"] = val
# bgcolorsrc
# ----------
@property
def bgcolorsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `bgcolor`.
The 'bgcolorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["bgcolorsrc"]
@bgcolorsrc.setter
def bgcolorsrc(self, val):
self["bgcolorsrc"] = val
# fgcolor
# -------
@property
def fgcolor(self):
"""
When there is no colorscale sets the color of foreground
pattern fill. Defaults to a `marker.color` background when
`fillmode` is "replace". Otherwise, defaults to dark grey or
white to increase contrast with the `bgcolor`.
The 'fgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A list or array of any of the above
Returns
-------
str|numpy.ndarray
"""
return self["fgcolor"]
@fgcolor.setter
def fgcolor(self, val):
self["fgcolor"] = val
# fgcolorsrc
# ----------
@property
def fgcolorsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `fgcolor`.
The 'fgcolorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["fgcolorsrc"]
@fgcolorsrc.setter
def fgcolorsrc(self, val):
self["fgcolorsrc"] = val
# fgopacity
# ---------
@property
def fgopacity(self):
"""
Sets the opacity of the foreground pattern fill. Defaults to a
0.5 when `fillmode` is "overlay". Otherwise, defaults to 1.
The 'fgopacity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
"""
return self["fgopacity"]
@fgopacity.setter
def fgopacity(self, val):
self["fgopacity"] = val
# fillmode
# --------
@property
def fillmode(self):
"""
Determines whether `marker.color` should be used as a default
to `bgcolor` or a `fgcolor`.
The 'fillmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['replace', 'overlay']
Returns
-------
Any
"""
return self["fillmode"]
@fillmode.setter
def fillmode(self, val):
self["fillmode"] = val
# shape
# -----
@property
def shape(self):
"""
Sets the shape of the pattern fill. By default, no pattern is
used for filling the area.
The 'shape' property is an enumeration that may be specified as:
- One of the following enumeration values:
['', '/', '\\', 'x', '-', '|', '+', '.']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray
"""
return self["shape"]
@shape.setter
def shape(self, val):
self["shape"] = val
# shapesrc
# --------
@property
def shapesrc(self):
"""
Sets the source reference on Chart Studio Cloud for `shape`.
The 'shapesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["shapesrc"]
@shapesrc.setter
def shapesrc(self, val):
self["shapesrc"] = val
# size
# ----
@property
def size(self):
"""
Sets the size of unit squares of the pattern fill in pixels,
which corresponds to the interval of repetition of the pattern.
The 'size' property is a number and may be specified as:
- An int or float in the interval [0, inf]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray
"""
return self["size"]
@size.setter
def size(self, val):
self["size"] = val
# sizesrc
# -------
@property
def sizesrc(self):
"""
Sets the source reference on Chart Studio Cloud for `size`.
The 'sizesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["sizesrc"]
@sizesrc.setter
def sizesrc(self, val):
self["sizesrc"] = val
# solidity
# --------
@property
def solidity(self):
"""
Sets the solidity of the pattern fill. Solidity is roughly the
fraction of the area filled by the pattern. Solidity of 0 shows
only the background color without pattern and solidty of 1
shows only the foreground color without pattern.
The 'solidity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray
"""
return self["solidity"]
@solidity.setter
def solidity(self, val):
self["solidity"] = val
# soliditysrc
# -----------
@property
def soliditysrc(self):
"""
Sets the source reference on Chart Studio Cloud for `solidity`.
The 'soliditysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["soliditysrc"]
@soliditysrc.setter
def soliditysrc(self, val):
self["soliditysrc"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
bgcolor
When there is no colorscale sets the color of
background pattern fill. Defaults to a `marker.color`
background when `fillmode` is "overlay". Otherwise,
defaults to a transparent background.
bgcolorsrc
Sets the source reference on Chart Studio Cloud for
`bgcolor`.
fgcolor
When there is no colorscale sets the color of
foreground pattern fill. Defaults to a `marker.color`
background when `fillmode` is "replace". Otherwise,
defaults to dark grey or white to increase contrast
with the `bgcolor`.
fgcolorsrc
Sets the source reference on Chart Studio Cloud for
`fgcolor`.
fgopacity
Sets the opacity of the foreground pattern fill.
Defaults to a 0.5 when `fillmode` is "overlay".
Otherwise, defaults to 1.
fillmode
Determines whether `marker.color` should be used as a
default to `bgcolor` or a `fgcolor`.
shape
Sets the shape of the pattern fill. By default, no
pattern is used for filling the area.
shapesrc
Sets the source reference on Chart Studio Cloud for
`shape`.
size
Sets the size of unit squares of the pattern fill in
pixels, which corresponds to the interval of repetition
of the pattern.
sizesrc
Sets the source reference on Chart Studio Cloud for
`size`.
solidity
Sets the solidity of the pattern fill. Solidity is
roughly the fraction of the area filled by the pattern.
Solidity of 0 shows only the background color without
pattern and solidty of 1 shows only the foreground
color without pattern.
soliditysrc
Sets the source reference on Chart Studio Cloud for
`solidity`.
"""
def __init__(
self,
arg=None,
bgcolor=None,
bgcolorsrc=None,
fgcolor=None,
fgcolorsrc=None,
fgopacity=None,
fillmode=None,
shape=None,
shapesrc=None,
size=None,
sizesrc=None,
solidity=None,
soliditysrc=None,
**kwargs,
):
"""
Construct a new Fillpattern object
Sets the pattern within the marker.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.scatter.Fillpattern`
bgcolor
When there is no colorscale sets the color of
background pattern fill. Defaults to a `marker.color`
background when `fillmode` is "overlay". Otherwise,
defaults to a transparent background.
bgcolorsrc
Sets the source reference on Chart Studio Cloud for
`bgcolor`.
fgcolor
When there is no colorscale sets the color of
foreground pattern fill. Defaults to a `marker.color`
background when `fillmode` is "replace". Otherwise,
defaults to dark grey or white to increase contrast
with the `bgcolor`.
fgcolorsrc
Sets the source reference on Chart Studio Cloud for
`fgcolor`.
fgopacity
Sets the opacity of the foreground pattern fill.
Defaults to a 0.5 when `fillmode` is "overlay".
Otherwise, defaults to 1.
fillmode
Determines whether `marker.color` should be used as a
default to `bgcolor` or a `fgcolor`.
shape
Sets the shape of the pattern fill. By default, no
pattern is used for filling the area.
shapesrc
Sets the source reference on Chart Studio Cloud for
`shape`.
size
Sets the size of unit squares of the pattern fill in
pixels, which corresponds to the interval of repetition
of the pattern.
sizesrc
Sets the source reference on Chart Studio Cloud for
`size`.
solidity
Sets the solidity of the pattern fill. Solidity is
roughly the fraction of the area filled by the pattern.
Solidity of 0 shows only the background color without
pattern and solidty of 1 shows only the foreground
color without pattern.
soliditysrc
Sets the source reference on Chart Studio Cloud for
`solidity`.
Returns
-------
Fillpattern
"""
super(Fillpattern, self).__init__("fillpattern")
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.scatter.Fillpattern
constructor must be a dict or
an instance of :class:`plotly.graph_objs.scatter.Fillpattern`"""
)
# 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("bgcolor", None)
_v = bgcolor if bgcolor is not None else _v
if _v is not None:
self["bgcolor"] = _v
_v = arg.pop("bgcolorsrc", None)
_v = bgcolorsrc if bgcolorsrc is not None else _v
if _v is not None:
self["bgcolorsrc"] = _v
_v = arg.pop("fgcolor", None)
_v = fgcolor if fgcolor is not None else _v
if _v is not None:
self["fgcolor"] = _v
_v = arg.pop("fgcolorsrc", None)
_v = fgcolorsrc if fgcolorsrc is not None else _v
if _v is not None:
self["fgcolorsrc"] = _v
_v = arg.pop("fgopacity", None)
_v = fgopacity if fgopacity is not None else _v
if _v is not None:
self["fgopacity"] = _v
_v = arg.pop("fillmode", None)
_v = fillmode if fillmode is not None else _v
if _v is not None:
self["fillmode"] = _v
_v = arg.pop("shape", None)
_v = shape if shape is not None else _v
if _v is not None:
self["shape"] = _v
_v = arg.pop("shapesrc", None)
_v = shapesrc if shapesrc is not None else _v
if _v is not None:
self["shapesrc"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
_v = arg.pop("sizesrc", None)
_v = sizesrc if sizesrc is not None else _v
if _v is not None:
self["sizesrc"] = _v
_v = arg.pop("solidity", None)
_v = solidity if solidity is not None else _v
if _v is not None:
self["solidity"] = _v
_v = arg.pop("soliditysrc", None)
_v = soliditysrc if soliditysrc is not None else _v
if _v is not None:
self["soliditysrc"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False
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