Search is not available for this dataset
identifier stringlengths 1 155 | parameters stringlengths 2 6.09k | docstring stringlengths 11 63.4k | docstring_summary stringlengths 0 63.4k | function stringlengths 29 99.8k | function_tokens list | start_point list | end_point list | language stringclasses 1
value | docstring_language stringlengths 2 7 | docstring_language_predictions stringlengths 18 23 | is_langid_reliable stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
ColorBar.tickprefix | (self) |
Sets a tick label prefix.
The 'tickprefix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
|
Sets a tick label prefix.
The 'tickprefix' property is a string and must be specified as:
- A string
- A number that will be converted to a string | def tickprefix(self):
"""
Sets a tick label prefix.
The 'tickprefix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["tickprefix"] | [
"def",
"tickprefix",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"tickprefix\"",
"]"
] | [
878,
4
] | [
890,
33
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.ticks | (self) |
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.
The 'ticks' property is an enumeration that may be specified as:
- One of the following enumeration values:
... |
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.
The 'ticks' property is an enumeration that may be specified as:
- One of the following enumeration values:
... | def ticks(self):
"""
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.
The 'ticks' property is an enumeration that may be specified as:
- One of the follo... | [
"def",
"ticks",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"ticks\"",
"]"
] | [
899,
4
] | [
913,
28
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.ticksuffix | (self) |
Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
|
Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string | def ticksuffix(self):
"""
Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["ticksuffix"] | [
"def",
"ticksuffix",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"ticksuffix\"",
"]"
] | [
922,
4
] | [
934,
33
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.ticktext | (self) |
Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------... |
Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series | def ticktext(self):
"""
Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
... | [
"def",
"ticktext",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"ticktext\"",
"]"
] | [
943,
4
] | [
956,
31
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.ticktextsrc | (self) |
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
|
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object | def ticktextsrc(self):
"""
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["ticktextsrc"] | [
"def",
"ticktextsrc",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"ticktextsrc\"",
"]"
] | [
965,
4
] | [
976,
34
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickvals | (self) |
Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.nda... |
Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series | def tickvals(self):
"""
Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
... | [
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"tickvals",
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"self",
")",
":",
"return",
"self",
"[",
"\"tickvals\"",
"]"
] | [
985,
4
] | [
997,
31
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickvalssrc | (self) |
Sets the source reference on Chart Studio Cloud for tickvals .
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
|
Sets the source reference on Chart Studio Cloud for tickvals .
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object | def tickvalssrc(self):
"""
Sets the source reference on Chart Studio Cloud for tickvals .
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["tickvalssrc"] | [
"def",
"tickvalssrc",
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"return",
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"\"tickvalssrc\"",
"]"
] | [
1006,
4
] | [
1017,
34
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickwidth | (self) |
Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def tickwidth(self):
"""
Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["tickwidth"] | [
"def",
"tickwidth",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"tickwidth\"",
"]"
] | [
1026,
4
] | [
1037,
32
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.title | (self) |
The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Supported dict properties:
... |
The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Supported dict properties:
... | def title(self):
"""
The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.densitymapbox.colorbar.Title`
- A dict of string/value properties that will be passed
to the Title constructor
S... | [
"def",
"title",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"title\"",
"]"
] | [
1046,
4
] | [
1076,
28
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.titlefont | (self) |
Deprecated: Please use densitymapbox.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.
The 'font' property is an instance of Font
that may be specified as:
... |
Deprecated: Please use densitymapbox.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.
The 'font' property is an instance of Font
that may be specified as:
... | def titlefont(self):
"""
Deprecated: Please use densitymapbox.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.
The 'font' property is an instance of Font
that... | [
"def",
"titlefont",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"titlefont\"",
"]"
] | [
1085,
4
] | [
1125,
32
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.titleside | (self) |
Deprecated: Please use densitymapbox.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.
The 'side' property is an enumeration tha... |
Deprecated: Please use densitymapbox.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.
The 'side' property is an enumeration tha... | def titleside(self):
"""
Deprecated: Please use densitymapbox.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.
The 'side... | [
"def",
"titleside",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"titleside\"",
"]"
] | [
1134,
4
] | [
1149,
32
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.x | (self) |
Sets the x position of the color bar (in plot fraction).
The 'x' property is a number and may be specified as:
- An int or float in the interval [-2, 3]
Returns
-------
int|float
|
Sets the x position of the color bar (in plot fraction).
The 'x' property is a number and may be specified as:
- An int or float in the interval [-2, 3] | def x(self):
"""
Sets the x position of the color bar (in plot fraction).
The 'x' property is a number and may be specified as:
- An int or float in the interval [-2, 3]
Returns
-------
int|float
"""
return self["x"] | [
"def",
"x",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"x\"",
"]"
] | [
1158,
4
] | [
1169,
24
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.xanchor | (self) |
Sets this color bar's horizontal position anchor. This anchor
binds the `x` position to the "left", "center" or "right" of
the color bar.
The 'xanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['left',... |
Sets this color bar's horizontal position anchor. This anchor
binds the `x` position to the "left", "center" or "right" of
the color bar.
The 'xanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['left',... | def xanchor(self):
"""
Sets this color bar's horizontal position anchor. This anchor
binds the `x` position to the "left", "center" or "right" of
the color bar.
The 'xanchor' property is an enumeration that may be specified as:
- One of the following enumeration va... | [
"def",
"xanchor",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"xanchor\"",
"]"
] | [
1178,
4
] | [
1192,
30
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.xpad | (self) |
Sets the amount of padding (in px) along the x direction.
The 'xpad' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the amount of padding (in px) along the x direction.
The 'xpad' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def xpad(self):
"""
Sets the amount of padding (in px) along the x direction.
The 'xpad' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["xpad"] | [
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"return",
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"]"
] | [
1201,
4
] | [
1212,
27
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.y | (self) |
Sets the y position of the color bar (in plot fraction).
The 'y' property is a number and may be specified as:
- An int or float in the interval [-2, 3]
Returns
-------
int|float
|
Sets the y position of the color bar (in plot fraction).
The 'y' property is a number and may be specified as:
- An int or float in the interval [-2, 3] | def y(self):
"""
Sets the y position of the color bar (in plot fraction).
The 'y' property is a number and may be specified as:
- An int or float in the interval [-2, 3]
Returns
-------
int|float
"""
return self["y"] | [
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"return",
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] | [
1221,
4
] | [
1232,
24
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.yanchor | (self) |
Sets this color bar's vertical position anchor This anchor
binds the `y` position to the "top", "middle" or "bottom" of
the color bar.
The 'yanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['top', 'mi... |
Sets this color bar's vertical position anchor This anchor
binds the `y` position to the "top", "middle" or "bottom" of
the color bar.
The 'yanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['top', 'mi... | def yanchor(self):
"""
Sets this color bar's vertical position anchor This anchor
binds the `y` position to the "top", "middle" or "bottom" of
the color bar.
The 'yanchor' property is an enumeration that may be specified as:
- One of the following enumeration value... | [
"def",
"yanchor",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"yanchor\"",
"]"
] | [
1241,
4
] | [
1255,
30
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.ypad | (self) |
Sets the amount of padding (in px) along the y direction.
The 'ypad' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the amount of padding (in px) along the y direction.
The 'ypad' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def ypad(self):
"""
Sets the amount of padding (in px) along the y direction.
The 'ypad' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["ypad"] | [
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"ypad",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"ypad\"",
"]"
] | [
1264,
4
] | [
1275,
27
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.__init__ | (
self,
arg=None,
bgcolor=None,
bordercolor=None,
borderwidth=None,
dtick=None,
exponentformat=None,
len=None,
lenmode=None,
nticks=None,
outlinecolor=None,
outlinewidth=None,
separatethousands=None,
showexpo... |
Construct a new ColorBar object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.densitymapbox.ColorBar`
bgcolor
Sets the color of padded area.
... |
Construct a new ColorBar object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.densitymapbox.ColorBar`
bgcolor
Sets the color of padded area.
... | def __init__(
self,
arg=None,
bgcolor=None,
bordercolor=None,
borderwidth=None,
dtick=None,
exponentformat=None,
len=None,
lenmode=None,
nticks=None,
outlinecolor=None,
outlinewidth=None,
separatethousands=None,
... | [
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"lenm... | [
1482,
4
] | [
1941,
34
] | python | en | ['en', 'error', 'th'] | False |
get_kitti_image_info | (path,
training=True,
label_info=True,
velodyne=False,
calib=False,
image_ids=7481,
extend_matrix=True,
num_worker=8,
re... |
KITTI annotation format version 2:
{
[optional]points: [N, 3+] point cloud
[optional, for kitti]image: {
image_idx: ...
image_path: ...
image_shape: ...
}
point_cloud: {
num_features: 4
velodyne_path: ...
}
... |
KITTI annotation format version 2:
{
[optional]points: [N, 3+] point cloud
[optional, for kitti]image: {
image_idx: ...
image_path: ...
image_shape: ...
}
point_cloud: {
num_features: 4
velodyne_path: ...
}
... | def get_kitti_image_info(path,
training=True,
label_info=True,
velodyne=False,
calib=False,
image_ids=7481,
extend_matrix=True,
num_worker=8,
... | [
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get_waymo_image_info | (path,
training=True,
label_info=True,
velodyne=False,
calib=False,
pose=False,
image_ids=7481,
extend_matrix=True,
num_... |
Waymo annotation format version like KITTI:
{
[optional]points: [N, 3+] point cloud
[optional, for kitti]image: {
image_idx: ...
image_path: ...
image_shape: ...
}
point_cloud: {
num_features: 6
velodyne_path: ...
... |
Waymo annotation format version like KITTI:
{
[optional]points: [N, 3+] point cloud
[optional, for kitti]image: {
image_idx: ...
image_path: ...
image_shape: ...
}
point_cloud: {
num_features: 6
velodyne_path: ...
... | def get_waymo_image_info(path,
training=True,
label_info=True,
velodyne=False,
calib=False,
pose=False,
image_ids=7481,
extend_matrix=True,
... | [
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"Tru... | [
263,
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] | [
439,
28
] | python | en | ['en', 'error', 'th'] | False |
RouteUpdate.__init__ | (self, *, recipient_key: str = None, action: str = None, **kwargs) |
Initialize a RouteUpdate instance.
Args:
recipient_key: The recipient verkey of the route
action: The action to perform
|
Initialize a RouteUpdate instance. | def __init__(self, *, recipient_key: str = None, action: str = None, **kwargs):
"""
Initialize a RouteUpdate instance.
Args:
recipient_key: The recipient verkey of the route
action: The action to perform
"""
super(RouteUpdate, self).__init__(**kwargs)
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list_node | (option_generator, select=None, pagesize=10) |
Decorator for making an EvMenu node into a multi-page list node. Will add new options,
prepending those options added in the node.
Args:
option_generator (callable or list): A list of strings indicating the options, or a callable
that is called as option_generator(caller) to produce su... |
Decorator for making an EvMenu node into a multi-page list node. Will add new options,
prepending those options added in the node. | def list_node(option_generator, select=None, pagesize=10):
"""
Decorator for making an EvMenu node into a multi-page list node. Will add new options,
prepending those options added in the node.
Args:
option_generator (callable or list): A list of strings indicating the options, or a callable
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get_input | (caller, prompt, callback, session=None, *args, **kwargs) |
This is a helper function for easily request input from
the caller.
Args:
caller (Account or Object): The entity being asked
the question. This should usually be an object
controlled by a user.
prompt (str): This text will be shown to the user,
in order ... |
This is a helper function for easily request input from
the caller. | def get_input(caller, prompt, callback, session=None, *args, **kwargs):
"""
This is a helper function for easily request input from
the caller.
Args:
caller (Account or Object): The entity being asked
the question. This should usually be an object
controlled by a user.
... | [
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1292,
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] | [
1359,
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] | python | en | ['en', 'error', 'th'] | False |
CmdEvMenuNode.func | (self) |
Implement all menu commands.
|
Implement all menu commands.
| def func(self):
"""
Implement all menu commands.
"""
def _restore(caller):
# check if there is a saved menu available.
# this will re-start a completely new evmenu call.
saved_options = caller.attributes.get("_menutree_saved")
if saved_opti... | [
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EvMenuCmdSet.at_cmdset_creation | (self) |
Called when creating the set.
|
Called when creating the set.
| def at_cmdset_creation(self):
"""
Called when creating the set.
"""
self.add(CmdEvMenuNode()) | [
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EvMenu.__init__ | (self, caller, menudata, startnode="start",
cmdset_mergetype="Replace", cmdset_priority=1,
auto_quit=True, auto_look=True, auto_help=True,
cmd_on_exit="look",
persistent=False, startnode_input="", session=None,
debug=False, **kwargs) |
Initialize the menu tree and start the caller onto the first node.
Args:
caller (Object, Account or Session): The user of the menu.
menudata (str, module or dict): The full or relative path to the module
holding the menu tree data. All global functions in this m... |
Initialize the menu tree and start the caller onto the first node. | def __init__(self, caller, menudata, startnode="start",
cmdset_mergetype="Replace", cmdset_priority=1,
auto_quit=True, auto_look=True, auto_help=True,
cmd_on_exit="look",
persistent=False, startnode_input="", session=None,
debug=False,... | [
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EvMenu._parse_menudata | (self, menudata) |
Parse a menufile for node functions and store in dictionary
map. Alternatively, accept a pre-made mapping dictionary of
node functions.
Args:
menudata (str, module or dict): The python.path to the menufile,
or the python module itself. If a dict, this should... |
Parse a menufile for node functions and store in dictionary
map. Alternatively, accept a pre-made mapping dictionary of
node functions. | def _parse_menudata(self, menudata):
"""
Parse a menufile for node functions and store in dictionary
map. Alternatively, accept a pre-made mapping dictionary of
node functions.
Args:
menudata (str, module or dict): The python.path to the menufile,
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EvMenu._format_node | (self, nodetext, optionlist) |
Format the node text + option section
Args:
nodetext (str): The node text
optionlist (list): List of (key, desc) pairs.
Returns:
string (str): The options section, including
all needed spaces.
Notes:
This will adjust the... |
Format the node text + option section | def _format_node(self, nodetext, optionlist):
"""
Format the node text + option section
Args:
nodetext (str): The node text
optionlist (list): List of (key, desc) pairs.
Returns:
string (str): The options section, including
all needed... | [
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EvMenu._safe_call | (self, callback, raw_string, **kwargs) |
Call a node-like callable, with a variable number of raw_string, *args, **kwargs, all of
which should work also if not present (only `caller` is always required). Return its result.
|
Call a node-like callable, with a variable number of raw_string, *args, **kwargs, all of
which should work also if not present (only `caller` is always required). Return its result. | def _safe_call(self, callback, raw_string, **kwargs):
"""
Call a node-like callable, with a variable number of raw_string, *args, **kwargs, all of
which should work also if not present (only `caller` is always required). Return its result.
"""
try:
try:
... | [
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EvMenu._execute_node | (self, nodename, raw_string, **kwargs) |
Execute a node.
Args:
nodename (str): Name of node.
raw_string (str): The raw default string entered on the
previous node (only used if the node accepts it as an
argument)
kwargs (any, optional): Optional kwargs for the node.
... |
Execute a node. | def _execute_node(self, nodename, raw_string, **kwargs):
"""
Execute a node.
Args:
nodename (str): Name of node.
raw_string (str): The raw default string entered on the
previous node (only used if the node accepts it as an
argument)
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EvMenu.run_exec | (self, nodename, raw_string, **kwargs) |
Run a function or node as a callback (with the 'exec' option key).
Args:
nodename (callable or str): A callable to run as
`callable(caller, raw_string)`, or the Name of an existing
node to run as a callable. This may or may not return
a strin... |
Run a function or node as a callback (with the 'exec' option key). | def run_exec(self, nodename, raw_string, **kwargs):
"""
Run a function or node as a callback (with the 'exec' option key).
Args:
nodename (callable or str): A callable to run as
`callable(caller, raw_string)`, or the Name of an existing
node to run as... | [
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] | [
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] | python | en | ['en', 'error', 'th'] | False |
EvMenu.extract_goto_exec | (self, nodename, option_dict) |
Helper: Get callables and their eventual kwargs.
Args:
nodename (str): The current node name (used for error reporting).
option_dict (dict): The seleted option's dict.
Returns:
goto (str, callable or None): The goto directive in the option.
goto... |
Helper: Get callables and their eventual kwargs. | def extract_goto_exec(self, nodename, option_dict):
"""
Helper: Get callables and their eventual kwargs.
Args:
nodename (str): The current node name (used for error reporting).
option_dict (dict): The seleted option's dict.
Returns:
goto (str, callab... | [
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EvMenu.goto | (self, nodename, raw_string, **kwargs) |
Run a node by name, optionally dynamically generating that name first.
Args:
nodename (str or callable): Name of node or a callable
to be called as `function(caller, raw_string, **kwargs)` or
`function(caller, **kwargs)` to return the actual goto string or
... |
Run a node by name, optionally dynamically generating that name first. | def goto(self, nodename, raw_string, **kwargs):
"""
Run a node by name, optionally dynamically generating that name first.
Args:
nodename (str or callable): Name of node or a callable
to be called as `function(caller, raw_string, **kwargs)` or
`functi... | [
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EvMenu.run_exec_then_goto | (self, runexec, goto, raw_string, runexec_kwargs=None, goto_kwargs=None) |
Call 'exec' callback and goto (which may also be a callable) in sequence.
Args:
runexec (callable or str): Callback to run before goto. If
the callback returns a string, this is used to replace
the `goto` string/callable before being passed into the goto han... |
Call 'exec' callback and goto (which may also be a callable) in sequence. | def run_exec_then_goto(self, runexec, goto, raw_string, runexec_kwargs=None, goto_kwargs=None):
"""
Call 'exec' callback and goto (which may also be a callable) in sequence.
Args:
runexec (callable or str): Callback to run before goto. If
the callback returns a strin... | [
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817,
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] | [
839,
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EvMenu.close_menu | (self) |
Shutdown menu; occurs when reaching the end node or using the quit command.
|
Shutdown menu; occurs when reaching the end node or using the quit command.
| def close_menu(self):
"""
Shutdown menu; occurs when reaching the end node or using the quit command.
"""
if not self._quitting:
# avoid multiple calls from different sources
self._quitting = True
self.caller.cmdset.remove(EvMenuCmdSet)
del... | [
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EvMenu.print_debug_info | (self, arg) |
Messages the caller with the current menu state, for debug purposes.
Args:
arg (str): Arg to debug instruction, either nothing, 'full' or the name
of a property to inspect.
|
Messages the caller with the current menu state, for debug purposes. | def print_debug_info(self, arg):
"""
Messages the caller with the current menu state, for debug purposes.
Args:
arg (str): Arg to debug instruction, either nothing, 'full' or the name
of a property to inspect.
"""
all_props = inspect.getmembers(self)... | [
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EvMenu.parse_input | (self, raw_string) |
Parses the incoming string from the menu user.
Args:
raw_string (str): The incoming, unmodified string
from the user.
Notes:
This method is expected to parse input and use the result
to relay execution to the relevant methods of the menu. It
... |
Parses the incoming string from the menu user. | def parse_input(self, raw_string):
"""
Parses the incoming string from the menu user.
Args:
raw_string (str): The incoming, unmodified string
from the user.
Notes:
This method is expected to parse input and use the result
to relay exec... | [
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EvMenu.nodetext_formatter | (self, nodetext) |
Format the node text itself.
Args:
nodetext (str): The full node text (the text describing the node).
Returns:
nodetext (str): The formatted node text.
|
Format the node text itself. | def nodetext_formatter(self, nodetext):
"""
Format the node text itself.
Args:
nodetext (str): The full node text (the text describing the node).
Returns:
nodetext (str): The formatted node text.
"""
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EvMenu.helptext_formatter | (self, helptext) |
Format the node's help text
Args:
helptext (str): The unformatted help text for the node.
Returns:
helptext (str): The formatted help text.
|
Format the node's help text | def helptext_formatter(self, helptext):
"""
Format the node's help text
Args:
helptext (str): The unformatted help text for the node.
Returns:
helptext (str): The formatted help text.
"""
return dedent(helptext.strip('\n'), baseline_index=0).rst... | [
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EvMenu.options_formatter | (self, optionlist) |
Formats the option block.
Args:
optionlist (list): List of (key, description) tuples for every
option related to this node.
caller (Object, Account or None, optional): The caller of the node.
Returns:
options (str): The formatted option disp... |
Formats the option block. | def options_formatter(self, optionlist):
"""
Formats the option block.
Args:
optionlist (list): List of (key, description) tuples for every
option related to this node.
caller (Object, Account or None, optional): The caller of the node.
Returns:
... | [
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EvMenu.node_formatter | (self, nodetext, optionstext) |
Formats the entirety of the node.
Args:
nodetext (str): The node text as returned by `self.nodetext_formatter`.
optionstext (str): The options display as returned by `self.options_formatter`.
caller (Object, Account or None, optional): The caller of the node.
... |
Formats the entirety of the node. | def node_formatter(self, nodetext, optionstext):
"""
Formats the entirety of the node.
Args:
nodetext (str): The node text as returned by `self.nodetext_formatter`.
optionstext (str): The options display as returned by `self.options_formatter`.
caller (Object... | [
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"_MAX_TEXT... | [
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CmdGetInput.func | (self) | This is called when user enters anything. | This is called when user enters anything. | def func(self):
"""This is called when user enters anything."""
caller = self.caller
try:
getinput = caller.ndb._getinput
if not getinput and hasattr(caller, "account"):
getinput = caller.account.ndb._getinput
caller = caller.account
... | [
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InputCmdSet.at_cmdset_creation | (self) | called once at creation | called once at creation | def at_cmdset_creation(self):
"""called once at creation"""
self.add(CmdGetInput()) | [
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setup | (bot) |
Mandatory function to add the Cog to the bot.
|
Mandatory function to add the Cog to the bot.
| def setup(bot):
"""
Mandatory function to add the Cog to the bot.
"""
bot.add_cog(SaveSuggestionCog(bot)) | [
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InstanceProvider.__init__ | (self, instance) | Initialize the instance provider. | Initialize the instance provider. | def __init__(self, instance):
"""Initialize the instance provider."""
if not instance:
raise ValueError("Class instance binding must be non-empty")
self._instance = instance | [
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InstanceProvider.provide | (self, config: BaseSettings, injector: BaseInjector) | Provide the object instance given a config and injector. | Provide the object instance given a config and injector. | async def provide(self, config: BaseSettings, injector: BaseInjector):
"""Provide the object instance given a config and injector."""
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ClassProvider.__init__ | (
self,
instance_cls: Union[str, type],
*ctor_args,
async_init: str = None,
**ctor_kwargs
) | Initialize the class provider. | Initialize the class provider. | def __init__(
self,
instance_cls: Union[str, type],
*ctor_args,
async_init: str = None,
**ctor_kwargs
):
"""Initialize the class provider."""
self._async_init = async_init
self._ctor_args = ctor_args
self._ctor_kwargs = ctor_kwargs
self... | [
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ClassProvider.provide | (self, config: BaseSettings, injector: BaseInjector) | Provide the object instance given a config and injector. | Provide the object instance given a config and injector. | async def provide(self, config: BaseSettings, injector: BaseInjector):
"""Provide the object instance given a config and injector."""
instance_cls = self._instance_cls
if isinstance(instance_cls, str):
instance_cls = ClassLoader.load_class(instance_cls)
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CachedProvider.__init__ | (self, provider: BaseProvider) | Initialize the cached provider instance. | Initialize the cached provider instance. | def __init__(self, provider: BaseProvider):
"""Initialize the cached provider instance."""
if not provider:
raise ValueError("Cache provider input must not be empty.")
self._instance = None
self._provider = provider | [
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CachedProvider.provide | (self, config: BaseSettings, injector: BaseInjector) | Provide the object instance given a config and injector. | Provide the object instance given a config and injector. | async def provide(self, config: BaseSettings, injector: BaseInjector):
"""Provide the object instance given a config and injector."""
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StatsProvider.__init__ | (
self,
provider: BaseProvider,
methods: Sequence[str],
*,
ignore_missing: bool = True
) | Initialize the statistics provider instance. | Initialize the statistics provider instance. | def __init__(
self,
provider: BaseProvider,
methods: Sequence[str],
*,
ignore_missing: bool = True
):
"""Initialize the statistics provider instance."""
if not provider:
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StatsProvider.provide | (self, config: BaseSettings, injector: BaseInjector) | Provide the object instance given a config and injector. | Provide the object instance given a config and injector. | async def provide(self, config: BaseSettings, injector: BaseInjector):
"""Provide the object instance given a config and injector."""
instance = await self._provider.provide(config, injector)
collector: Collector = await injector.inject(Collector, required=False)
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test_state_regenerated_from_ledger | (looper,
nodeSet, tconf, tdir,
sdk_pool_handle,
sdk_wallet_trustee,
allPluginsPath) |
Node loses its state database but recreates it from ledger after start.
Checking ATTRIB txns too since they store some data off ledger too
|
Node loses its state database but recreates it from ledger after start.
Checking ATTRIB txns too since they store some data off ledger too
| def test_state_regenerated_from_ledger(looper,
nodeSet, tconf, tdir,
sdk_pool_handle,
sdk_wallet_trustee,
allPluginsPath):
"""
Node loses its state database... | [
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pm_only | () | A :func:`.check` that indicates this command must only be used in a
guild context only. Basically, no private messages are allowed when
using the command.
This check raises a special exception, :exc:`.NoPrivateMessage`
that is derived from :exc:`.CheckFailure`.
| A :func:`.check` that indicates this command must only be used in a
guild context only. Basically, no private messages are allowed when
using the command.
This check raises a special exception, :exc:`.NoPrivateMessage`
that is derived from :exc:`.CheckFailure`.
| def pm_only():
"""A :func:`.check` that indicates this command must only be used in a
guild context only. Basically, no private messages are allowed when
using the command.
This check raises a special exception, :exc:`.NoPrivateMessage`
that is derived from :exc:`.CheckFailure`.
"""
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create_nuscenes_infos | (root_path,
info_prefix,
version='v1.0-trainval',
max_sweeps=10) | Create info file of nuscene dataset.
Given the raw data, generate its related info file in pkl format.
Args:
root_path (str): Path of the data root.
info_prefix (str): Prefix of the info file to be generated.
version (str): Version of the data.
Default: 'v1.0-trainval'
... | Create info file of nuscene dataset. | def create_nuscenes_infos(root_path,
info_prefix,
version='v1.0-trainval',
max_sweeps=10):
"""Create info file of nuscene dataset.
Given the raw data, generate its related info file in pkl format.
Args:
root_path (str): ... | [
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get_available_scenes | (nusc) | Get available scenes from the input nuscenes class.
Given the raw data, get the information of available scenes for
further info generation.
Args:
nusc (class): Dataset class in the nuScenes dataset.
Returns:
available_scenes (list[dict]): List of basic information for the
... | Get available scenes from the input nuscenes class. | def get_available_scenes(nusc):
"""Get available scenes from the input nuscenes class.
Given the raw data, get the information of available scenes for
further info generation.
Args:
nusc (class): Dataset class in the nuScenes dataset.
Returns:
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_fill_trainval_infos | (nusc,
train_scenes,
val_scenes,
test=False,
max_sweeps=10) | Generate the train/val infos from the raw data.
Args:
nusc (:obj:`NuScenes`): Dataset class in the nuScenes dataset.
train_scenes (list[str]): Basic information of training scenes.
val_scenes (list[str]): Basic information of validation scenes.
test (bool): Whether use the test mode... | Generate the train/val infos from the raw data. | def _fill_trainval_infos(nusc,
train_scenes,
val_scenes,
test=False,
max_sweeps=10):
"""Generate the train/val infos from the raw data.
Args:
nusc (:obj:`NuScenes`): Dataset class in the nuScenes dataset... | [
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obtain_sensor2top | (nusc,
sensor_token,
l2e_t,
l2e_r_mat,
e2g_t,
e2g_r_mat,
sensor_type='lidar') | Obtain the info with RT matric from general sensor to Top LiDAR.
Args:
nusc (class): Dataset class in the nuScenes dataset.
sensor_token (str): Sample data token corresponding to the
specific sensor type.
l2e_t (np.ndarray): Translation from lidar to ego in shape (1, 3).
... | Obtain the info with RT matric from general sensor to Top LiDAR. | def obtain_sensor2top(nusc,
sensor_token,
l2e_t,
l2e_r_mat,
e2g_t,
e2g_r_mat,
sensor_type='lidar'):
"""Obtain the info with RT matric from general sensor to Top LiDAR.
Args:
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export_2d_annotation | (root_path, info_path, version) | Export 2d annotation from the info file and raw data.
Args:
root_path (str): Root path of the raw data.
info_path (str): Path of the info file.
version (str): Dataset version.
| Export 2d annotation from the info file and raw data. | def export_2d_annotation(root_path, info_path, version):
"""Export 2d annotation from the info file and raw data.
Args:
root_path (str): Root path of the raw data.
info_path (str): Path of the info file.
version (str): Dataset version.
"""
# get bbox annotations for camera
c... | [
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get_2d_boxes | (nusc, sample_data_token: str,
visibilities: List[str]) | Get the 2D annotation records for a given `sample_data_token`.
Args:
sample_data_token: Sample data token belonging to a camera keyframe.
visibilities: Visibility filter.
Return:
list[dict]: List of 2D annotation record that belongs to the input
`sample_data_token`.
| Get the 2D annotation records for a given `sample_data_token`. | def get_2d_boxes(nusc, sample_data_token: str,
visibilities: List[str]) -> List[OrderedDict]:
"""Get the 2D annotation records for a given `sample_data_token`.
Args:
sample_data_token: Sample data token belonging to a camera keyframe.
visibilities: Visibility filter.
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post_process_coords | (
corner_coords: List, imsize: Tuple[int, int] = (1600, 900)
) | Get the intersection of the convex hull of the reprojected bbox corners
and the image canvas, return None if no intersection.
Args:
corner_coords (list[int]): Corner coordinates of reprojected
bounding box.
imsize (tuple[int]): Size of the image canvas.
Return:
tuple [f... | Get the intersection of the convex hull of the reprojected bbox corners
and the image canvas, return None if no intersection. | def post_process_coords(
corner_coords: List, imsize: Tuple[int, int] = (1600, 900)
) -> Union[Tuple[float, float, float, float], None]:
"""Get the intersection of the convex hull of the reprojected bbox corners
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corner_coords (list[int... | [
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generate_record | (ann_rec: dict, x1: float, y1: float, x2: float, y2: float,
sample_data_token: str, filename: str) | Generate one 2D annotation record given various informations on top of
the 2D bounding box coordinates.
Args:
ann_rec (dict): Original 3d annotation record.
x1 (float): Minimum value of the x coordinate.
y1 (float): Minimum value of the y coordinate.
x2 (float): Maximum value of... | Generate one 2D annotation record given various informations on top of
the 2D bounding box coordinates. | def generate_record(ann_rec: dict, x1: float, y1: float, x2: float, y2: float,
sample_data_token: str, filename: str) -> OrderedDict:
"""Generate one 2D annotation record given various informations on top of
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_Voxelization.forward | (ctx,
points,
voxel_size,
coors_range,
max_points=35,
max_voxels=20000) | convert kitti points(N, >=3) to voxels.
Args:
points: [N, ndim] float tensor. points[:, :3] contain xyz points
and points[:, 3:] contain other information like reflectivity
voxel_size: [3] list/tuple or array, float. xyz, indicate voxel
size
c... | convert kitti points(N, >=3) to voxels. | def forward(ctx,
points,
voxel_size,
coors_range,
max_points=35,
max_voxels=20000):
"""convert kitti points(N, >=3) to voxels.
Args:
points: [N, ndim] float tensor. points[:, :3] contain xyz points
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Voxelization.__init__ | (self,
voxel_size,
point_cloud_range,
max_num_points,
max_voxels=20000) |
Args:
voxel_size (list): list [x, y, z] size of three dimension
point_cloud_range (list):
[x_min, y_min, z_min, x_max, y_max, z_max]
max_num_points (int): max number of points per voxel
max_voxels (tuple or int): max number of voxels in
... |
Args:
voxel_size (list): list [x, y, z] size of three dimension
point_cloud_range (list):
[x_min, y_min, z_min, x_max, y_max, z_max]
max_num_points (int): max number of points per voxel
max_voxels (tuple or int): max number of voxels in
... | def __init__(self,
voxel_size,
point_cloud_range,
max_num_points,
max_voxels=20000):
super(Voxelization, self).__init__()
"""
Args:
voxel_size (list): list [x, y, z] size of three dimension
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Voxelization.forward | (self, input) |
Args:
input: NC points
|
Args:
input: NC points
| def forward(self, input):
"""
Args:
input: NC points
"""
if self.training:
max_voxels = self.max_voxels[0]
else:
max_voxels = self.max_voxels[1]
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TestZooAndTasks.test_zoolist_fields | (self) |
Ensure zoo entries conform to style standards.
|
Ensure zoo entries conform to style standards.
| def test_zoolist_fields(self):
"""
Ensure zoo entries conform to style standards.
"""
for animal in model_list:
self._assertZooString('title', animal)
name = animal['title']
# every task must at least contain these
for key in ['id', 'task'... | [
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TestZooAndTasks.test_zoolist_types | (self) |
Ensure no type errors in the model zoo.
|
Ensure no type errors in the model zoo.
| def test_zoolist_types(self):
"""
Ensure no type errors in the model zoo.
"""
self._check_types(model_list, 'Zoo') | [
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TestZooAndTasks.test_tasklist_types | (self) |
Ensure no type errors in the task list.
|
Ensure no type errors in the task list.
| def test_tasklist_types(self):
"""
Ensure no type errors in the task list.
"""
self._check_types(task_list, 'Task') | [
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62,
4
] | [
66,
44
] | python | en | ['en', 'error', 'th'] | False |
TestZooAndTasks.test_tasklist | (self) |
Check the task list for issues.
|
Check the task list for issues.
| def test_tasklist(self):
"""
Check the task list for issues.
"""
self._check_directory(
"task_list",
task_list,
"parlai/tasks",
"task",
ignore=['fromfile', 'interactive', 'jsonfile', 'wrapper'],
) | [
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79,
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TestZooAndTasks.test_zoolist | (self) |
Check the zoo list for issues.
|
Check the zoo list for issues.
| def test_zoolist(self):
"""
Check the zoo list for issues.
"""
self._check_directory(
"model_list", model_list, "parlai/zoo", "id", ignore=ZOO_EXCEPTIONS
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TestEvalModel.test_noevalmode | (self) |
Ensure you get an error trying to use eval_model with -dt train.
|
Ensure you get an error trying to use eval_model with -dt train.
| def test_noevalmode(self):
"""
Ensure you get an error trying to use eval_model with -dt train.
"""
with self.assertRaises(ValueError):
testing_utils.eval_model(
{'task': 'integration_tests', 'model': 'repeat_label'},
valid_datatype='train',
... | [
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TestEvalModel.test_evalmode | (self) |
Eval_model with -dt train:evalmode should be okay.
|
Eval_model with -dt train:evalmode should be okay.
| def test_evalmode(self):
"""
Eval_model with -dt train:evalmode should be okay.
"""
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TestEvalModel.test_output | (self) |
Test output of running eval_model.
|
Test output of running eval_model.
| def test_output(self):
"""
Test output of running eval_model.
"""
opt = dict(
task='integration_tests',
model='repeat_label',
datatype='valid',
num_examples=5,
display_examples=False,
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TestEvalModel.test_metrics_all | (self) |
Test output of running eval_model.
|
Test output of running eval_model.
| def test_metrics_all(self):
"""
Test output of running eval_model.
"""
opt = dict(
task='integration_tests',
model='repeat_label',
datatype='valid',
num_examples=5,
display_examples=False,
metrics='all',
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TestEvalModel.test_metrics_select | (self) |
Test output of running eval_model.
|
Test output of running eval_model.
| def test_metrics_select(self):
"""
Test output of running eval_model.
"""
opt = dict(
task='integration_tests',
model='repeat_label',
datatype='valid',
num_examples=5,
display_examples=False,
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TestEvalModel.test_train_evalmode | (self) |
Test that evaluating a model with train:evalmode completes an epoch.
|
Test that evaluating a model with train:evalmode completes an epoch.
| def test_train_evalmode(self):
"""
Test that evaluating a model with train:evalmode completes an epoch.
"""
base_dict = {'model': 'repeat_label', 'datatype': 'train:evalmode'}
teachers = ['integration_tests:fixed_dialog_candidate', 'integration_tests']
batchsize = [1, 64... | [
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TestEvalModel.test_save_report | (self) |
Test that we can save report from eval model.
|
Test that we can save report from eval model.
| def test_save_report(self):
"""
Test that we can save report from eval model.
"""
with testing_utils.tempdir() as tmpdir:
save_report = os.path.join(tmpdir, 'report')
opt = dict(
task='integration_tests',
model='repeat_label',
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Threshold.line | (self) |
The 'line' property is an instance of Line
that may be specified as:
- An instance of :class:`plotly.graph_objs.indicator.gauge.threshold.Line`
- A dict of string/value properties that will be passed
to the Line constructor
Supported dict properties:
... |
The 'line' property is an instance of Line
that may be specified as:
- An instance of :class:`plotly.graph_objs.indicator.gauge.threshold.Line`
- A dict of string/value properties that will be passed
to the Line constructor
Supported dict properties:
... | def line(self):
"""
The 'line' property is an instance of Line
that may be specified as:
- An instance of :class:`plotly.graph_objs.indicator.gauge.threshold.Line`
- A dict of string/value properties that will be passed
to the Line constructor
Sup... | [
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15,
4
] | [
34,
27
] | python | en | ['en', 'error', 'th'] | False |
Threshold.thickness | (self) |
Sets the thickness of the threshold line as a fraction of the
thickness of the gauge.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
|
Sets the thickness of the threshold line as a fraction of the
thickness of the gauge.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [0, 1] | def thickness(self):
"""
Sets the thickness of the threshold line as a fraction of the
thickness of the gauge.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
... | [
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55,
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Threshold.value | (self) |
Sets a treshold value drawn as a line.
The 'value' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
|
Sets a treshold value drawn as a line.
The 'value' property is a number and may be specified as:
- An int or float | def value(self):
"""
Sets a treshold value drawn as a line.
The 'value' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["value"] | [
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Threshold.__init__ | (self, arg=None, line=None, thickness=None, value=None, **kwargs) |
Construct a new Threshold object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.indicator.gauge.Threshold`
line
:class:`plotly.graph_objects.indica... |
Construct a new Threshold object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.indicator.gauge.Threshold`
line
:class:`plotly.graph_objects.indica... | def __init__(self, arg=None, line=None, thickness=None, value=None, **kwargs):
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Construct a new Threshold object
Parameters
----------
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dict of properties compatible with this constructor or
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Dimension.categoryarray | (self) |
Sets the order in which categories in this dimension appear.
Only has an effect if `categoryorder` is set to "array". Used
with `categoryorder`.
The 'categoryarray' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
... |
Sets the order in which categories in this dimension appear.
Only has an effect if `categoryorder` is set to "array". Used
with `categoryorder`.
The 'categoryarray' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series | def categoryarray(self):
"""
Sets the order in which categories in this dimension appear.
Only has an effect if `categoryorder` is set to "array". Used
with `categoryorder`.
The 'categoryarray' property is an array that may be specified as a tuple,
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39,
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Dimension.categoryarraysrc | (self) |
Sets the source reference on Chart Studio Cloud for
categoryarray .
The 'categoryarraysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
|
Sets the source reference on Chart Studio Cloud for
categoryarray .
The 'categoryarraysrc' property must be specified as a string or
as a plotly.grid_objs.Column object | def categoryarraysrc(self):
"""
Sets the source reference on Chart Studio Cloud for
categoryarray .
The 'categoryarraysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
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48,
4
] | [
60,
39
] | python | en | ['en', 'error', 'th'] | False |
Dimension.categoryorder | (self) |
Specifies the ordering logic for the categories in the
dimension. By default, plotly uses "trace", which specifies the
order that is present in the data supplied. Set `categoryorder`
to *category ascending* or *category descending* if order
should be determined by the alphanumer... |
Specifies the ordering logic for the categories in the
dimension. By default, plotly uses "trace", which specifies the
order that is present in the data supplied. Set `categoryorder`
to *category ascending* or *category descending* if order
should be determined by the alphanumer... | def categoryorder(self):
"""
Specifies the ordering logic for the categories in the
dimension. By default, plotly uses "trace", which specifies the
order that is present in the data supplied. Set `categoryorder`
to *category ascending* or *category descending* if order
sh... | [
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69,
4
] | [
92,
36
] | python | en | ['en', 'error', 'th'] | False |
Dimension.displayindex | (self) |
The display index of dimension, from left to right, zero
indexed, defaults to dimension index.
The 'displayindex' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
Returns
-------
int
|
The display index of dimension, from left to right, zero
indexed, defaults to dimension index.
The 'displayindex' property is a integer and may be specified as:
- An int (or float that will be cast to an int) | def displayindex(self):
"""
The display index of dimension, from left to right, zero
indexed, defaults to dimension index.
The 'displayindex' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
Returns
-------
... | [
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113,
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Dimension.label | (self) |
The shown name of the 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
|
The shown name of the dimension.
The 'label' property is a string and must be specified as:
- A string
- A number that will be converted to a string | def label(self):
"""
The shown name of the 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"] | [
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122,
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] | [
134,
28
] | python | en | ['en', 'error', 'th'] | False |
Dimension.ticktext | (self) |
Sets alternative tick labels for the categories in this
dimension. Only has an effect if `categoryorder` is set to
"array". Should be an array the same length as `categoryarray`
Used with `categoryorder`.
The 'ticktext' property is an array that may be specified as a tuple,... |
Sets alternative tick labels for the categories in this
dimension. Only has an effect if `categoryorder` is set to
"array". Should be an array the same length as `categoryarray`
Used with `categoryorder`.
The 'ticktext' property is an array that may be specified as a tuple,... | def ticktext(self):
"""
Sets alternative tick labels for the categories in this
dimension. Only has an effect if `categoryorder` is set to
"array". Should be an array the same length as `categoryarray`
Used with `categoryorder`.
The 'ticktext' property is an array th... | [
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"[",
"\"ticktext\"",
"]"
] | [
143,
4
] | [
157,
31
] | python | en | ['en', 'error', 'th'] | False |
Dimension.ticktextsrc | (self) |
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
|
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object | def ticktextsrc(self):
"""
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["ticktextsrc"] | [
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] | [
177,
34
] | python | en | ['en', 'error', 'th'] | False |
Dimension.values | (self) |
Dimension values. `values[n]` represents the category value of
the `n`th point in the dataset, therefore the `values` vector
for all dimensions must be the same (longer vectors will be
truncated).
The 'values' property is an array that may be specified as a tuple,
l... |
Dimension values. `values[n]` represents the category value of
the `n`th point in the dataset, therefore the `values` vector
for all dimensions must be the same (longer vectors will be
truncated).
The 'values' property is an array that may be specified as a tuple,
l... | def values(self):
"""
Dimension values. `values[n]` represents the category value of
the `n`th point in the dataset, therefore the `values` vector
for all dimensions must be the same (longer vectors will be
truncated).
The 'values' property is an array that may be sp... | [
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186,
4
] | [
200,
29
] | python | en | ['en', 'error', 'th'] | False |
Dimension.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
|
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 | 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"] | [
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220,
32
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Dimension.visible | (self) |
Shows the dimension when set to `true` (the default). Hides the
dimension for `false`.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Shows the dimension when set to `true` (the default). Hides the
dimension for `false`.
The 'visible' property must be specified as a bool
(either True, or False) | def visible(self):
"""
Shows the dimension when set to `true` (the default). Hides the
dimension for `false`.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["visible"] | [
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241,
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] | python | en | ['en', 'error', 'th'] | False |
Dimension.__init__ | (
self,
arg=None,
categoryarray=None,
categoryarraysrc=None,
categoryorder=None,
displayindex=None,
label=None,
ticktext=None,
ticktextsrc=None,
values=None,
valuessrc=None,
visible=None,
**kwargs
) |
Construct a new Dimension object
The dimensions (variables) of the parallel categories diagram.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.parcats.Dimensi... |
Construct a new Dimension object
The dimensions (variables) of the parallel categories diagram. | def __init__(
self,
arg=None,
categoryarray=None,
categoryarraysrc=None,
categoryorder=None,
displayindex=None,
label=None,
ticktext=None,
ticktextsrc=None,
values=None,
valuessrc=None,
visible=None,
**kwargs
):
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449,
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Tickformatstop.dtickrange | (self) |
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The... |
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The... | def dtickrange(self):
"""
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
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")",
":",
"return",
"self",
"[",
"\"dtickrange\"",
"]"
] | [
15,
4
] | [
31,
33
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.enabled | (self) |
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False) | def enabled(self):
"""
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
ret... | [
"def",
"enabled",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"enabled\"",
"]"
] | [
40,
4
] | [
52,
30
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.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 ... |
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 ... | 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` al... | [
"def",
"name",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"name\"",
"]"
] | [
61,
4
] | [
79,
27
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.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 (includ... |
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 (includ... | 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`,
... | [
"def",
"templateitemname",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"templateitemname\"",
"]"
] | [
88,
4
] | [
107,
39
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.value | (self) |
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
|
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string | def value(self):
"""
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"... | [
"def",
"value",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"value\"",
"]"
] | [
116,
4
] | [
129,
28
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.__init__ | (
self,
arg=None,
dtickrange=None,
enabled=None,
name=None,
templateitemname=None,
value=None,
**kwargs
) |
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.choropleth.col
orbar.Tickformatstop`
dtickrange
range [*min*, ... |
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.choropleth.col
orbar.Tickformatstop`
dtickrange
range [*min*, ... | def __init__(
self,
arg=None,
dtickrange=None,
enabled=None,
name=None,
templateitemname=None,
value=None,
**kwargs
):
"""
Construct a new Tickformatstop object
Parameters
----------
arg
dict... | [
"def",
"__init__",
"(",
"self",
",",
"arg",
"=",
"None",
",",
"dtickrange",
"=",
"None",
",",
"enabled",
"=",
"None",
",",
"name",
"=",
"None",
",",
"templateitemname",
"=",
"None",
",",
"value",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"sup... | [
172,
4
] | [
282,
34
] | python | en | ['en', 'error', 'th'] | False |
Updatemenu.active | (self) |
Determines which button (by index starting from 0) is
considered active.
The 'active' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [-1, 9223372036854775807]
Returns
-------
int
... |
Determines which button (by index starting from 0) is
considered active.
The 'active' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [-1, 9223372036854775807] | def active(self):
"""
Determines which button (by index starting from 0) is
considered active.
The 'active' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [-1, 9223372036854775807]
Returns... | [
"def",
"active",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"active\"",
"]"
] | [
34,
4
] | [
47,
29
] | python | en | ['en', 'error', 'th'] | False |
Updatemenu.bgcolor | (self) |
Sets the background color of the update menu buttons.
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.... |
Sets the background color of the update menu buttons.
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.... | def bgcolor(self):
"""
Sets the background color of the update menu buttons.
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%)')
... | [
"def",
"bgcolor",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"bgcolor\"",
"]"
] | [
56,
4
] | [
106,
30
] | python | en | ['en', 'error', 'th'] | False |
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