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_surface.py
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from plotly.basedatatypes import BaseTraceType
import copy
class Surface(BaseTraceType):
# autocolorscale
# --------------
@property
def autocolorscale(self):
"""
Determines whether the colorscale is a default palette
(`autocolorscale: true`) or the palette determined by
`colorscale`. In case `colorscale` is unspecified or
`autocolorscale` is true, the default palette will be chosen
according to whether numbers in the `color` array are all
positive, all negative or mixed.
The 'autocolorscale' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self['autocolorscale']
@autocolorscale.setter
def autocolorscale(self, val):
self['autocolorscale'] = val
# cauto
# -----
@property
def cauto(self):
"""
Determines whether or not the color domain is computed with
respect to the input data (here z or surfacecolor) or the
bounds set in `cmin` and `cmax` Defaults to `false` when
`cmin` and `cmax` are set by the user.
The 'cauto' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self['cauto']
@cauto.setter
def cauto(self, val):
self['cauto'] = val
# cmax
# ----
@property
def cmax(self):
"""
Sets the upper bound of the color domain. Value should have the
same units as z or surfacecolor and if set, `cmin` must be set
as well.
The 'cmax' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self['cmax']
@cmax.setter
def cmax(self, val):
self['cmax'] = val
# cmid
# ----
@property
def cmid(self):
"""
Sets the mid-point of the color domain by scaling `cmin` and/or
`cmax` to be equidistant to this point. Value should have the
same units as z or surfacecolor. Has no effect when `cauto` is
`false`.
The 'cmid' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self['cmid']
@cmid.setter
def cmid(self, val):
self['cmid'] = val
# cmin
# ----
@property
def cmin(self):
"""
Sets the lower bound of the color domain. Value should have the
same units as z or surfacecolor and if set, `cmax` must be set
as well.
The 'cmin' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self['cmin']
@cmin.setter
def cmin(self, val):
self['cmin'] = val
# colorbar
# --------
@property
def colorbar(self):
"""
The 'colorbar' property is an instance of ColorBar
that may be specified as:
- An instance of plotly.graph_objs.surface.ColorBar
- A dict of string/value properties that will be passed
to the ColorBar constructor
Supported dict properties:
bgcolor
Sets the color of padded area.
bordercolor
Sets the axis line color.
borderwidth
Sets the width (in px) or the border enclosing
this color bar.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
len
Sets the length of the color bar This measure
excludes the padding of both ends. That is, the
color bar length is this length minus the
padding on both ends.
lenmode
Determines whether this color bar's length
(i.e. the measure in the color variation
direction) is set in units of plot "fraction"
or in *pixels. Use `len` to set the value.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
outlinecolor
Sets the axis line color.
outlinewidth
Sets the width (in px) of the axis line.
separatethousands
If "true", even 4-digit integers are separated
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
thickness
Sets the thickness of the color bar This
measure excludes the size of the padding, ticks
and labels.
thicknessmode
Determines whether this color bar's thickness
(i.e. the measure in the constant color
direction) is set in units of plot "fraction"
or in "pixels". Use `thickness` to set the
value.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the color bar's tick label font
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/blob/master/READ
ME.md#locale_format And for dates see:
https://github.com/d3/d3-time-
format/blob/master/README.md#locale_format We
add one item to d3's date formatter: "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
plotly.graph_objs.surface.colorbar.Tickformatst
op instance or dict with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.dat
a.surface.colorbar.tickformatstopdefaults),
sets the default property values to use for
elements of surface.colorbar.tickformatstops
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on plot.ly for
ticktext .
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on plot.ly for
tickvals .
tickwidth
Sets the tick width (in px).
title
plotly.graph_objs.surface.colorbar.Title
instance or dict with compatible properties
titlefont
Deprecated: Please use
surface.colorbar.title.font instead. Sets this
color bar's title font. Note that the title's
font used to be set by the now deprecated
`titlefont` attribute.
titleside
Deprecated: Please use
surface.colorbar.title.side instead. Determines
the location of color bar's title with respect
to the color bar. Note that the title's
location used to be set by the now deprecated
`titleside` attribute.
x
Sets the x position of the color bar (in plot
fraction).
xanchor
Sets this color bar's horizontal position
anchor. This anchor binds the `x` position to
the "left", "center" or "right" of the color
bar.
xpad
Sets the amount of padding (in px) along the x
direction.
y
Sets the y position of the color bar (in plot
fraction).
yanchor
Sets this color bar's vertical position anchor
This anchor binds the `y` position to the
"top", "middle" or "bottom" of the color bar.
ypad
Sets the amount of padding (in px) along the y
direction.
Returns
-------
plotly.graph_objs.surface.ColorBar
"""
return self['colorbar']
@colorbar.setter
def colorbar(self, val):
self['colorbar'] = val
# colorscale
# ----------
@property
def colorscale(self):
"""
Sets the colorscale. The colorscale must be an array containing
arrays mapping a normalized value to an rgb, rgba, hex, hsl,
hsv, or named color string. At minimum, a mapping for the
lowest (0) and highest (1) values are required. For example,
`[[0, 'rgb(0,0,255)', [1, 'rgb(255,0,0)']]`. To control the
bounds of the colorscale in color space, use`cmin` and `cmax`.
Alternatively, `colorscale` may be a palette name string of the
following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
ridis,Cividis.
The 'colorscale' property is a colorscale and may be
specified as:
- A list of 2-element lists where the first element is the
normalized color level value (starting at 0 and ending at 1),
and the second item is a valid color string.
(e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
- One of the following named colorscales:
['Greys', 'YlGnBu', 'Greens', 'YlOrRd', 'Bluered', 'RdBu',
'Reds', 'Blues', 'Picnic', 'Rainbow', 'Portland', 'Jet',
'Hot', 'Blackbody', 'Earth', 'Electric', 'Viridis', 'Cividis']
Returns
-------
str
"""
return self['colorscale']
@colorscale.setter
def colorscale(self, val):
self['colorscale'] = val
# contours
# --------
@property
def contours(self):
"""
The 'contours' property is an instance of Contours
that may be specified as:
- An instance of plotly.graph_objs.surface.Contours
- A dict of string/value properties that will be passed
to the Contours constructor
Supported dict properties:
x
plotly.graph_objs.surface.contours.X instance
or dict with compatible properties
y
plotly.graph_objs.surface.contours.Y instance
or dict with compatible properties
z
plotly.graph_objs.surface.contours.Z instance
or dict with compatible properties
Returns
-------
plotly.graph_objs.surface.Contours
"""
return self['contours']
@contours.setter
def contours(self, val):
self['contours'] = val
# customdata
# ----------
@property
def customdata(self):
"""
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
The 'customdata' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self['customdata']
@customdata.setter
def customdata(self, val):
self['customdata'] = val
# customdatasrc
# -------------
@property
def customdatasrc(self):
"""
Sets the source reference on plot.ly for customdata .
The 'customdatasrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self['customdatasrc']
@customdatasrc.setter
def customdatasrc(self, val):
self['customdatasrc'] = val
# hidesurface
# -----------
@property
def hidesurface(self):
"""
Determines whether or not a surface is drawn. For example, set
`hidesurface` to False `contours.x.show` to True and
`contours.y.show` to True to draw a wire frame plot.
The 'hidesurface' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self['hidesurface']
@hidesurface.setter
def hidesurface(self, val):
self['hidesurface'] = val
# hoverinfo
# ---------
@property
def hoverinfo(self):
"""
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.
The 'hoverinfo' property is a flaglist and may be specified
as a string containing:
- Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
(e.g. 'x+y')
OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
- A list or array of the above
Returns
-------
Any|numpy.ndarray
"""
return self['hoverinfo']
@hoverinfo.setter
def hoverinfo(self, val):
self['hoverinfo'] = val
# hoverinfosrc
# ------------
@property
def hoverinfosrc(self):
"""
Sets the source reference on plot.ly for hoverinfo .
The 'hoverinfosrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self['hoverinfosrc']
@hoverinfosrc.setter
def hoverinfosrc(self, val):
self['hoverinfosrc'] = val
# hoverlabel
# ----------
@property
def hoverlabel(self):
"""
The 'hoverlabel' property is an instance of Hoverlabel
that may be specified as:
- An instance of plotly.graph_objs.surface.Hoverlabel
- A dict of string/value properties that will be passed
to the Hoverlabel constructor
Supported dict properties:
bgcolor
Sets the background color of the hover labels
for this trace
bgcolorsrc
Sets the source reference on plot.ly for
bgcolor .
bordercolor
Sets the border color of the hover labels for
this trace.
bordercolorsrc
Sets the source reference on plot.ly for
bordercolor .
font
Sets the font used in hover labels.
namelength
Sets the length (in number of characters) of
the trace name in the hover labels for this
trace. -1 shows the whole name regardless of
length. 0-3 shows the first 0-3 characters, and
an integer >3 will show the whole name if it is
less than that many characters, but if it is
longer, will truncate to `namelength - 3`
characters and add an ellipsis.
namelengthsrc
Sets the source reference on plot.ly for
namelength .
Returns
-------
plotly.graph_objs.surface.Hoverlabel
"""
return self['hoverlabel']
@hoverlabel.setter
def hoverlabel(self, val):
self['hoverlabel'] = val
# hovertemplate
# -------------
@property
def hovertemplate(self):
"""
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}". Numbers are formatted using d3-format's syntax
%{variable:d3-format}, for example "Price: %{y:$.2f}". See http
s://github.com/d3/d3-format/blob/master/README.md#locale_format
for details on the formatting syntax. The variables available
in `hovertemplate` are the ones emitted as event data described
at this link https://plot.ly/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>".
The 'hovertemplate' 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['hovertemplate']
@hovertemplate.setter
def hovertemplate(self, val):
self['hovertemplate'] = val
# hovertemplatesrc
# ----------------
@property
def hovertemplatesrc(self):
"""
Sets the source reference on plot.ly for hovertemplate .
The 'hovertemplatesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self['hovertemplatesrc']
@hovertemplatesrc.setter
def hovertemplatesrc(self, val):
self['hovertemplatesrc'] = val
# hovertext
# ---------
@property
def hovertext(self):
"""
Same as `text`.
The 'hovertext' 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['hovertext']
@hovertext.setter
def hovertext(self, val):
self['hovertext'] = val
# hovertextsrc
# ------------
@property
def hovertextsrc(self):
"""
Sets the source reference on plot.ly for hovertext .
The 'hovertextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self['hovertextsrc']
@hovertextsrc.setter
def hovertextsrc(self, val):
self['hovertextsrc'] = val
# ids
# ---
@property
def ids(self):
"""
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.
The 'ids' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self['ids']
@ids.setter
def ids(self, val):
self['ids'] = val
# idssrc
# ------
@property
def idssrc(self):
"""
Sets the source reference on plot.ly for ids .
The 'idssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self['idssrc']
@idssrc.setter
def idssrc(self, val):
self['idssrc'] = val
# legendgroup
# -----------
@property
def legendgroup(self):
"""
Sets the legend group for this trace. Traces part of the same
legend group hide/show at the same time when toggling legend
items.
The 'legendgroup' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self['legendgroup']
@legendgroup.setter
def legendgroup(self, val):
self['legendgroup'] = val
# lighting
# --------
@property
def lighting(self):
"""
The 'lighting' property is an instance of Lighting
that may be specified as:
- An instance of plotly.graph_objs.surface.Lighting
- A dict of string/value properties that will be passed
to the Lighting constructor
Supported dict properties:
ambient
Ambient light increases overall color
visibility but can wash out the image.
diffuse
Represents the extent that incident rays are
reflected in a range of angles.
fresnel
Represents the reflectance as a dependency of
the viewing angle; e.g. paper is reflective
when viewing it from the edge of the paper
(almost 90 degrees), causing shine.
roughness
Alters specular reflection; the rougher the
surface, the wider and less contrasty the
shine.
specular
Represents the level that incident rays are
reflected in a single direction, causing shine.
Returns
-------
plotly.graph_objs.surface.Lighting
"""
return self['lighting']
@lighting.setter
def lighting(self, val):
self['lighting'] = val
# lightposition
# -------------
@property
def lightposition(self):
"""
The 'lightposition' property is an instance of Lightposition
that may be specified as:
- An instance of plotly.graph_objs.surface.Lightposition
- A dict of string/value properties that will be passed
to the Lightposition constructor
Supported dict properties:
x
Numeric vector, representing the X coordinate
for each vertex.
y
Numeric vector, representing the Y coordinate
for each vertex.
z
Numeric vector, representing the Z coordinate
for each vertex.
Returns
-------
plotly.graph_objs.surface.Lightposition
"""
return self['lightposition']
@lightposition.setter
def lightposition(self, val):
self['lightposition'] = val
# name
# ----
@property
def name(self):
"""
Sets the trace name. The trace name appear 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
# opacity
# -------
@property
def opacity(self):
"""
Sets the opacity of the surface. Please note that in the case
of using high `opacity` values for example a value greater than
or equal to 0.5 on two surfaces (and 0.25 with four surfaces),
an overlay of multiple transparent surfaces may not perfectly
be sorted in depth by the webgl API. This behavior may be
improved in the near future and is subject to change.
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
# reversescale
# ------------
@property
def reversescale(self):
"""
Reverses the color mapping if true. If true, `cmin` will
correspond to the last color in the array and `cmax` will
correspond to the first color.
The 'reversescale' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self['reversescale']
@reversescale.setter
def reversescale(self, val):
self['reversescale'] = val
# scene
# -----
@property
def scene(self):
"""
Sets a reference between this trace's 3D coordinate system and
a 3D scene. If "scene" (the default value), the (x,y,z)
coordinates refer to `layout.scene`. If "scene2", the (x,y,z)
coordinates refer to `layout.scene2`, and so on.
The 'scene' property is an identifier of a particular
subplot, of type 'scene', that may be specified as the string 'scene'
optionally followed by an integer >= 1
(e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.)
Returns
-------
str
"""
return self['scene']
@scene.setter
def scene(self, val):
self['scene'] = val
# selectedpoints
# --------------
@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
# showlegend
# ----------
@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
# showscale
# ---------
@property
def showscale(self):
"""
Determines whether or not a colorbar is displayed for this
trace.
The 'showscale' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self['showscale']
@showscale.setter
def showscale(self, val):
self['showscale'] = val
# stream
# ------
@property
def stream(self):
"""
The 'stream' property is an instance of Stream
that may be specified as:
- An instance of plotly.graph_objs.surface.Stream
- A dict of string/value properties that will be passed
to the Stream constructor
Supported dict properties:
maxpoints
Sets the maximum number of points to keep on
the plots from an incoming stream. If
`maxpoints` is set to 50, only the newest 50
points will be displayed on the plot.
token
The stream id number links a data trace on a