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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Delta.reference | (self) |
Sets the reference value to compute the delta. By default, it
is set to the current value.
The 'reference' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
|
Sets the reference value to compute the delta. By default, it
is set to the current value.
The 'reference' property is a number and may be specified as:
- An int or float | def reference(self):
"""
Sets the reference value to compute the delta. By default, it
is set to the current value.
The 'reference' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
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] | python | en | ['en', 'error', 'th'] | False |
Delta.relative | (self) |
Show relative change
The 'relative' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Show relative change
The 'relative' property must be specified as a bool
(either True, or False) | def relative(self):
"""
Show relative change
The 'relative' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["relative"] | [
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Delta.valueformat | (self) |
Sets the value formatting rule using d3 formatting mini-
language which is similar to those of Python. See
https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format
The 'valueformat' property is a string and must be specified as:
- A string
... |
Sets the value formatting rule using d3 formatting mini-
language which is similar to those of Python. See
https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format
The 'valueformat' property is a string and must be specified as:
- A string
... | def valueformat(self):
"""
Sets the value formatting rule using d3 formatting mini-
language which is similar to those of Python. See
https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format
The 'valueformat' property is a string and must be sp... | [
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Delta.__init__ | (
self,
arg=None,
decreasing=None,
font=None,
increasing=None,
position=None,
reference=None,
relative=None,
valueformat=None,
**kwargs
) |
Construct a new Delta object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.indicator.Delta`
decreasing
:class:`plotly.graph_objects.indicator.delt... |
Construct a new Delta object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.indicator.Delta`
decreasing
:class:`plotly.graph_objects.indicator.delt... | def __init__(
self,
arg=None,
decreasing=None,
font=None,
increasing=None,
position=None,
reference=None,
relative=None,
valueformat=None,
**kwargs
):
"""
Construct a new Delta object
Parameters
... | [
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get_config_defaults | () |
Convenience function to check current settings against defaults.
Example:
if plotly_domain != get_config_defaults()['plotly_domain']:
# do something
|
Convenience function to check current settings against defaults. | def get_config_defaults():
"""
Convenience function to check current settings against defaults.
Example:
if plotly_domain != get_config_defaults()['plotly_domain']:
# do something
"""
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ensure_local_plotly_files | () | Ensure that filesystem is setup/filled out in a valid way.
If the config or credential files aren't filled out, then write them
to the disk.
| Ensure that filesystem is setup/filled out in a valid way.
If the config or credential files aren't filled out, then write them
to the disk.
| def ensure_local_plotly_files():
"""Ensure that filesystem is setup/filled out in a valid way.
If the config or credential files aren't filled out, then write them
to the disk.
"""
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set_credentials_file | (
username=None,
api_key=None,
stream_ids=None,
proxy_username=None,
proxy_password=None,
) | Set the keyword-value pairs in `~/.plotly_credentials`.
:param (str) username: The username you'd use to sign in to Plotly
:param (str) api_key: The api key associated with above username
:param (list) stream_ids: Stream tokens for above credentials
:param (str) proxy_username: The un associated with w... | Set the keyword-value pairs in `~/.plotly_credentials`. | def set_credentials_file(
username=None,
api_key=None,
stream_ids=None,
proxy_username=None,
proxy_password=None,
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get_credentials_file | (*args) | Return specified args from `~/.plotly_credentials`. as dict.
Returns all if no arguments are specified.
Example:
get_credentials_file('username')
| Return specified args from `~/.plotly_credentials`. as dict. | def get_credentials_file(*args):
"""Return specified args from `~/.plotly_credentials`. as dict.
Returns all if no arguments are specified.
Example:
get_credentials_file('username')
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set_config_file | (
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plotly_streaming_domain=None,
plotly_api_domain=None,
plotly_ssl_verification=None,
plotly_proxy_authorization=None,
world_readable=None,
sharing=None,
auto_open=None,
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:param (str) plotly_domain: ex - https://plotly.com
:param (str) plotly_streaming_domain: ex - stream.plotly.com
:param (str) plotly_api_domain: ex - https://api.plotly.com
:param (bool) plotly_ssl_verification: True = verify, False = don't verify
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get_config_file | (*args) | Return specified args from `~/.plotly/.config`. as tuple.
Returns all if no arguments are specified.
Example:
get_config_file('plotly_domain')
| Return specified args from `~/.plotly/.config`. as tuple. | def get_config_file(*args):
"""Return specified args from `~/.plotly/.config`. as tuple.
Returns all if no arguments are specified.
Example:
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get_embed | (file_owner_or_url, file_id=None, width="100%", height=525) | Returns HTML code to embed figure on a webpage as an <iframe>
Plotly uniquely identifies figures with a 'file_owner'/'file_id' pair.
Since each file is given a corresponding unique url, you may also simply
pass a valid plotly url as the first argument.
Note, if you're using a file_owner string as the ... | Returns HTML code to embed figure on a webpage as an <iframe> | def get_embed(file_owner_or_url, file_id=None, width="100%", height=525):
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Plotly uniquely identifies figures with a 'file_owner'/'file_id' pair.
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embed | (file_owner_or_url, file_id=None, width="100%", height=525) | Embeds existing Plotly figure in IPython Notebook
Plotly uniquely identifies figures with a 'file_owner'/'file_id' pair.
Since each file is given a corresponding unique url, you may also simply
pass a valid plotly url as the first argument.
Note, if you're using a file_owner string as the first argume... | Embeds existing Plotly figure in IPython Notebook | def embed(file_owner_or_url, file_id=None, width="100%", height=525):
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kitti_data_prep | (root_path, info_prefix, version, out_dir) | Prepare data related to Kitti dataset.
Related data consists of '.pkl' files recording basic infos,
2D annotations and groundtruth database.
Args:
root_path (str): Path of dataset root.
info_prefix (str): The prefix of info filenames.
version (str): Dataset version.
out_dir... | Prepare data related to Kitti dataset. | def kitti_data_prep(root_path, info_prefix, version, out_dir):
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nuscenes_data_prep | (root_path,
info_prefix,
version,
dataset_name,
out_dir,
max_sweeps=10) | Prepare data related to nuScenes dataset.
Related data consists of '.pkl' files recording basic infos,
2D annotations and groundtruth database.
Args:
root_path (str): Path of dataset root.
info_prefix (str): The prefix of info filenames.
version (str): Dataset version.
data... | Prepare data related to nuScenes dataset. | def nuscenes_data_prep(root_path,
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lyft_data_prep | (root_path,
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version,
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out_dir,
max_sweeps=10) | Prepare data related to Lyft dataset.
Related data consists of '.pkl' files recording basic infos,
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Although the ground truth database is not used in Lyft, it can also be
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Args:
root_path (str): Path of dataset root.
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scannet_data_prep | (root_path, info_prefix, out_dir, workers) | Prepare the info file for scannet dataset.
Args:
root_path (str): Path of dataset root.
info_prefix (str): The prefix of info filenames.
out_dir (str): Output directory of the generated info file.
workers (int): Number of threads to be used.
| Prepare the info file for scannet dataset. | def scannet_data_prep(root_path, info_prefix, out_dir, workers):
"""Prepare the info file for scannet dataset.
Args:
root_path (str): Path of dataset root.
info_prefix (str): The prefix of info filenames.
out_dir (str): Output directory of the generated info file.
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sunrgbd_data_prep | (root_path, info_prefix, out_dir, workers) | Prepare the info file for sunrgbd dataset.
Args:
root_path (str): Path of dataset root.
info_prefix (str): The prefix of info filenames.
out_dir (str): Output directory of the generated info file.
workers (int): Number of threads to be used.
| Prepare the info file for sunrgbd dataset. | def sunrgbd_data_prep(root_path, info_prefix, out_dir, workers):
"""Prepare the info file for sunrgbd dataset.
Args:
root_path (str): Path of dataset root.
info_prefix (str): The prefix of info filenames.
out_dir (str): Output directory of the generated info file.
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waymo_data_prep | (root_path,
info_prefix,
version,
out_dir,
workers,
max_sweeps=5) | Prepare the info file for waymo dataset.
Args:
root_path (str): Path of dataset root.
info_prefix (str): The prefix of info filenames.
out_dir (str): Output directory of the generated info file.
workers (int): Number of threads to be used.
max_sweeps (int): Number of input c... | Prepare the info file for waymo dataset. | def waymo_data_prep(root_path,
info_prefix,
version,
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workers,
max_sweeps=5):
"""Prepare the info file for waymo dataset.
Args:
root_path (str): Path of dataset root.
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AdminResponder.__init__ | (
self, context: InjectionContext, send: Coroutine, webhook: Coroutine, **kwargs
) |
Initialize an instance of `AdminResponder`.
Args:
send: Function to send outbound message
|
Initialize an instance of `AdminResponder`. | def __init__(
self, context: InjectionContext, send: Coroutine, webhook: Coroutine, **kwargs
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Initialize an instance of `AdminResponder`.
Args:
send: Function to send outbound message
"""
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AdminResponder.send_outbound | (self, message: OutboundMessage) |
Send outbound message.
Args:
message: The `OutboundMessage` to be sent
|
Send outbound message. | async def send_outbound(self, message: OutboundMessage):
"""
Send outbound message.
Args:
message: The `OutboundMessage` to be sent
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AdminResponder.send_webhook | (self, topic: str, payload: dict) |
Dispatch a webhook.
Args:
topic: the webhook topic identifier
payload: the webhook payload value
|
Dispatch a webhook. | async def send_webhook(self, topic: str, payload: dict):
"""
Dispatch a webhook.
Args:
topic: the webhook topic identifier
payload: the webhook payload value
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WebhookTarget.__init__ | (
self, endpoint: str, topic_filter: Sequence[str] = None, retries: int = None
) | Initialize the webhook target. | Initialize the webhook target. | def __init__(
self, endpoint: str, topic_filter: Sequence[str] = None, retries: int = None
):
"""Initialize the webhook target."""
self.endpoint = endpoint
self._topic_filter = None
self.retries = retries
# call setter
self.topic_filter = topic_filter | [
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WebhookTarget.topic_filter | (self) | Accessor for the target's topic filter. | Accessor for the target's topic filter. | def topic_filter(self) -> Set[str]:
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WebhookTarget.topic_filter | (self, val: Sequence[str]) | Setter for the target's topic filter. | Setter for the target's topic filter. | def topic_filter(self, val: Sequence[str]):
"""Setter for the target's topic filter."""
filter = set(val) if val else None
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self._topic_filter = filter | [
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AdminServer.__init__ | (
self,
host: str,
port: int,
context: InjectionContext,
outbound_message_router: Coroutine,
webhook_router: Callable,
task_queue: TaskQueue = None,
conductor_stats: Coroutine = None,
) |
Initialize an AdminServer instance.
Args:
host: Host to listen on
port: Port to listen on
context: The application context instance
outbound_message_router: Coroutine for delivering outbound messages
webhook_router: Callable for delivering we... |
Initialize an AdminServer instance. | def __init__(
self,
host: str,
port: int,
context: InjectionContext,
outbound_message_router: Coroutine,
webhook_router: Callable,
task_queue: TaskQueue = None,
conductor_stats: Coroutine = None,
):
"""
Initialize an AdminServer instanc... | [
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AdminServer.make_application | (self) | Get the aiohttp application instance. | Get the aiohttp application instance. | async def make_application(self) -> web.Application:
"""Get the aiohttp application instance."""
middlewares = []
admin_api_key = self.context.settings.get("admin.admin_api_key")
admin_insecure_mode = self.context.settings.get("admin.admin_insecure_mode")
# admin-token and adm... | [
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AdminServer.start | (self) |
Start the webserver.
Raises:
AdminSetupError: If there was an error starting the webserver
|
Start the webserver. | async def start(self) -> None:
"""
Start the webserver.
Raises:
AdminSetupError: If there was an error starting the webserver
"""
self.app = await self.make_application()
runner = web.AppRunner(self.app)
await runner.setup()
self.site = web.T... | [
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AdminServer.stop | (self) | Stop the webserver. | Stop the webserver. | async def stop(self) -> None:
"""Stop the webserver."""
for queue in self.websocket_queues.values():
queue.stop()
if self.site:
await self.site.stop()
self.site = None | [
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AdminServer.on_startup | (self, app: web.Application) | Perform webserver startup actions. | Perform webserver startup actions. | async def on_startup(self, app: web.Application):
"""Perform webserver startup actions.""" | [
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AdminServer.plugins_handler | (self, request: web.BaseRequest) |
Request handler for the loaded plugins list.
Args:
request: aiohttp request object
Returns:
The module list response
|
Request handler for the loaded plugins list. | async def plugins_handler(self, request: web.BaseRequest):
"""
Request handler for the loaded plugins list.
Args:
request: aiohttp request object
Returns:
The module list response
"""
registry: PluginRegistry = await self.context.inject(
... | [
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AdminServer.status_handler | (self, request: web.BaseRequest) |
Request handler for the server status information.
Args:
request: aiohttp request object
Returns:
The web response
|
Request handler for the server status information. | async def status_handler(self, request: web.BaseRequest):
"""
Request handler for the server status information.
Args:
request: aiohttp request object
Returns:
The web response
"""
status = {"version": __version__}
collector: Collector =... | [
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AdminServer.status_reset_handler | (self, request: web.BaseRequest) |
Request handler for resetting the timing statistics.
Args:
request: aiohttp request object
Returns:
The web response
|
Request handler for resetting the timing statistics. | async def status_reset_handler(self, request: web.BaseRequest):
"""
Request handler for resetting the timing statistics.
Args:
request: aiohttp request object
Returns:
The web response
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AdminServer.redirect_handler | (self, request: web.BaseRequest) | Perform redirect to documentation. | Perform redirect to documentation. | async def redirect_handler(self, request: web.BaseRequest):
"""Perform redirect to documentation."""
raise web.HTTPFound("/api/doc") | [
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AdminServer.websocket_handler | (self, request) | Send notifications to admin client over websocket. | Send notifications to admin client over websocket. | async def websocket_handler(self, request):
"""Send notifications to admin client over websocket."""
ws = web.WebSocketResponse()
await ws.prepare(request)
socket_id = str(uuid.uuid4())
queue = BasicMessageQueue()
loop = asyncio.get_event_loop()
try:
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AdminServer.add_webhook_target | (
self, target_url: str, topic_filter: Sequence[str] = None, retries: int = None
) | Add a webhook target. | Add a webhook target. | def add_webhook_target(
self, target_url: str, topic_filter: Sequence[str] = None, retries: int = None
):
"""Add a webhook target."""
self.webhook_targets[target_url] = WebhookTarget(
target_url, topic_filter, retries
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AdminServer.remove_webhook_target | (self, target_url: str) | Remove a webhook target. | Remove a webhook target. | def remove_webhook_target(self, target_url: str):
"""Remove a webhook target."""
if target_url in self.webhook_targets:
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AdminServer.send_webhook | (self, topic: str, payload: dict) | Add a webhook to the queue, to send to all registered targets. | Add a webhook to the queue, to send to all registered targets. | async def send_webhook(self, topic: str, payload: dict):
"""Add a webhook to the queue, to send to all registered targets."""
if self.webhook_router:
for idx, target in self.webhook_targets.items():
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carbohydrates_saturation_photosynthesis_rate_inhibition | (carbohydrate_amount_Buf) |
Equation 9.11
Returns: photosynthesis inhibition by carbohydrates saturation rate[-]
|
Equation 9.11
Returns: photosynthesis inhibition by carbohydrates saturation rate[-]
| def carbohydrates_saturation_photosynthesis_rate_inhibition(carbohydrate_amount_Buf):
"""
Equation 9.11
Returns: photosynthesis inhibition by carbohydrates saturation rate[-]
"""
return smoothed_conditional_function(carbohydrate_amount_Buf, 5e-4, 20e3) | [
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non_optimal_instantaneous_temperature_inhibition | (canopy_t) |
Equation B.2
Returns: growth inhibition by non-optimal instantaneous temperature [-]
|
Equation B.2
Returns: growth inhibition by non-optimal instantaneous temperature [-]
| def non_optimal_instantaneous_temperature_inhibition(canopy_t):
"""
Equation B.2
Returns: growth inhibition by non-optimal instantaneous temperature [-]
"""
return smoothed_conditional_function(canopy_t, -0.8690, 10) * smoothed_conditional_function(canopy_t, 0.5793, 34) | [
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non_optimal_24_hour_canopy_temperatures_inhibition | (last_24_canopy_t) |
Equation B.3
Returns: growth inhibition by non-optimal 24-hour mean temperature [-]
|
Equation B.3
Returns: growth inhibition by non-optimal 24-hour mean temperature [-]
| def non_optimal_24_hour_canopy_temperatures_inhibition(last_24_canopy_t):
"""
Equation B.3
Returns: growth inhibition by non-optimal 24-hour mean temperature [-]
"""
return smoothed_conditional_function(last_24_canopy_t, -1.1587, 15) \
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crop_development_stage_inhibition | (sum_canopy_t) |
Equation 9.27, B.6
Returns: The gradual increase in fruit growth rate depending on tomato development stage [-]
|
Equation 9.27, B.6
Returns: The gradual increase in fruit growth rate depending on tomato development stage [-]
| def crop_development_stage_inhibition(sum_canopy_t):
"""
Equation 9.27, B.6
Returns: The gradual increase in fruit growth rate depending on tomato development stage [-]
"""
return 0.5 * ((sum_canopy_t / SUM_END_T) + math.sqrt((sum_canopy_t / SUM_END_T) ** 2 + 1e-4)) \
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fruit_flow_inhibition | (sum_canopy_t) |
Equation 9.33
To assure that fruits stay in the first development stage at vegetative stage
Returns: fruit flow inhibition [-]
|
Equation 9.33
To assure that fruits stay in the first development stage at vegetative stage
Returns: fruit flow inhibition [-]
| def fruit_flow_inhibition(sum_canopy_t):
"""
Equation 9.33
To assure that fruits stay in the first development stage at vegetative stage
Returns: fruit flow inhibition [-]
"""
return smoothed_conditional_function(sum_canopy_t, -5e-2, 0) | [
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ImageSeq2seqAgent.build_model | (self) |
Override to build appropriate model.
|
Override to build appropriate model.
| def build_model(self) -> ImageSeq2seqModel: # type: ignore
"""
Override to build appropriate model.
"""
self.model = ImageSeq2seqModel(self.opt, self.dict)
if self.opt['embedding_type'] != 'random':
self._copy_embeddings(
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ImageSeq2seqAgent.add_cmdline_args | (
cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
) |
Override to add one arg.
|
Override to add one arg.
| def add_cmdline_args(
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"""
Override to add one arg.
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TransformerGeneratorAgent.add_cmdline_args(parser, partial_opt=partial_opt)
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ImageSeq2seqAgent.build_dictionary | (self) |
Override to include image tokens.
|
Override to include image tokens.
| def build_dictionary(self) -> DictionaryAgent:
"""
Override to include image tokens.
"""
self.dict = super().build_dictionary()
if self.opt.get('include_image_token') and TOKEN_IMAGE not in self.dict:
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ImageSeq2seqAgent._set_text_vec | (self, *args, **kwargs) |
Override to include image token.
|
Override to include image token.
| def _set_text_vec(self, *args, **kwargs) -> dict:
"""
Override to include image token.
"""
obs = super()._set_text_vec(*args, **kwargs)
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ImageSeq2seqAgent._dummy_batch | (self, batchsize: int, maxlen: int) |
Override to include image feats.
|
Override to include image feats.
| def _dummy_batch(self, batchsize: int, maxlen: int) -> Batch:
"""
Override to include image feats.
"""
b = super()._dummy_batch(batchsize, maxlen)
image = torch.ones(batchsize, self.image_features_dim).cuda()
if self.n_image_channels > 1:
image = image.unsquee... | [
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ImageSeq2seqAgent.batchify_image_features | (self, batch: Batch) |
Format and return the batched image features.
Image features represented by tensors will set to the right type.
|
Format and return the batched image features. | def batchify_image_features(self, batch: Batch) -> Batch:
"""
Format and return the batched image features.
Image features represented by tensors will set to the right type.
"""
if type(batch.image) == list and any(b is not None for b in batch.image):
images = []
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ImageSeq2seqAgent._process_image_features | (self, features: torch.Tensor) |
Format shape and type of input image-feature tensor.
Override TorchImageAgent._process_image_features to handle multi-dimensional
images.
|
Format shape and type of input image-feature tensor. | def _process_image_features(self, features: torch.Tensor) -> torch.Tensor:
"""
Format shape and type of input image-feature tensor.
Override TorchImageAgent._process_image_features to handle multi-dimensional
images.
"""
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ImageSeq2seqAgent.load_state_dict | (self, state_dict: Dict[str, torch.Tensor]) |
Override for custom loading.
Reasons:
1. When using an init model without an image encoder
2. We decide to add segment embeddings after the fact.
3. When using an init model with only an encoder provided
In this case, we may need to add the START tok... |
Override for custom loading. | def load_state_dict(self, state_dict: Dict[str, torch.Tensor]):
"""
Override for custom loading.
Reasons:
1. When using an init model without an image encoder
2. We decide to add segment embeddings after the fact.
3. When using an init model with only an enco... | [
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Line.color | (self) |
Sets the inner box plot bounding line color.
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,1... |
Sets the inner box plot bounding line color.
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,1... | def color(self):
"""
Sets the inner box plot bounding line color.
The 'color' 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 hs... | [
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Line.width | (self) |
Sets the inner box plot bounding line width.
The 'width' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the inner box plot bounding line width.
The 'width' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def width(self):
"""
Sets the inner box plot bounding line width.
The 'width' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["width"] | [
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Line.__init__ | (self, arg=None, color=None, width=None, **kwargs) |
Construct a new Line object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.violin.box.Line`
color
Sets the inner box plot bounding line color.
... |
Construct a new Line object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.violin.box.Line`
color
Sets the inner box plot bounding line color.
... | def __init__(self, arg=None, color=None, width=None, **kwargs):
"""
Construct a new Line object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.violin.box.Line`
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display_meter | (cur_value, max_value,
length=30, fill_color=["R", "Y", "G"],
empty_color="B", text_color="w",
align="left", pre_text="", post_text="",
show_values=True) |
Represents a current and maximum value given as a "bar" rendered with
ANSI or xterm256 background colors.
Args:
cur_value (int): Current value to display
max_value (int): Maximum value to display
Options:
length (int): Length of meter returned, in characters
fi... |
Represents a current and maximum value given as a "bar" rendered with
ANSI or xterm256 background colors.
Args:
cur_value (int): Current value to display
max_value (int): Maximum value to display
Options:
length (int): Length of meter returned, in characters
fi... | def display_meter(cur_value, max_value,
length=30, fill_color=["R", "Y", "G"],
empty_color="B", text_color="w",
align="left", pre_text="", post_text="",
show_values=True):
"""
Represents a current and maximum value given as a "bar" rendere... | [
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Paginated.__init__ | (
self,
*,
start: int = None,
end: int = None,
limit: int = None,
total: int = None,
**kwargs
) |
Initialize a Paginated instance.
Args:
start: The first record offset
end: The last record offset
limit: Enforced limit on the number of records
total: Total number of records available
|
Initialize a Paginated instance. | def __init__(
self,
*,
start: int = None,
end: int = None,
limit: int = None,
total: int = None,
**kwargs
):
"""
Initialize a Paginated instance.
Args:
start: The first record offset
end: The last record offset
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TestPropertyValidation.test_validators_work_attr | (self) |
Note: all of the individual validators are tested in
`_plotly_utils/tests/validators`. Here we're just making sure that
datatypes make use of validators
|
Note: all of the individual validators are tested in
`_plotly_utils/tests/validators`. Here we're just making sure that
datatypes make use of validators
| def test_validators_work_attr(self):
"""
Note: all of the individual validators are tested in
`_plotly_utils/tests/validators`. Here we're just making sure that
datatypes make use of validators
"""
with pytest.raises(ValueError):
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TestPropertyValidation.test_validators_work_item | (self) |
Note: all of the individual validators are tested in
`_plotly_utils/tests/validators`. Here we're just making sure that
datatypes make use of validators
|
Note: all of the individual validators are tested in
`_plotly_utils/tests/validators`. Here we're just making sure that
datatypes make use of validators
| def test_validators_work_item(self):
"""
Note: all of the individual validators are tested in
`_plotly_utils/tests/validators`. Here we're just making sure that
datatypes make use of validators
"""
with pytest.raises(ValueError):
self.scatter["name"] = [1, 2, ... | [
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setup_data | (path, dialog_format=False, binary_classes=False) |
Set up data in DialogData format from path.
:param path: path to the data file that stores the MNLI dataset
:param dialog_format: if set True, omit the special tokens 'Hypothesis' and 'Premise' in the text.
:param binary_classes: if set True, bucketize neutral and entailment in one (not_contradiction... |
Set up data in DialogData format from path. | def setup_data(path, dialog_format=False, binary_classes=False):
"""
Set up data in DialogData format from path.
:param path: path to the data file that stores the MNLI dataset
:param dialog_format: if set True, omit the special tokens 'Hypothesis' and 'Premise' in the text.
:param binary_classes: ... | [
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convert_to_dialogData | (
premise_raw, hypo_raw, answer_raw, dialog_format=False, binary_classes=False
) |
Convert from NLI context to dialog text.
:param premise_raw: raw premise extracted from jsonl file.
:param hypo_raw: raw hypothesis extracted from jsonl file.
:param answer_raw: raw answer extracted from jsonl file.
:param dialog_format: if set True, omit the special tokens 'Hypothesis' and 'Premi... |
Convert from NLI context to dialog text. | def convert_to_dialogData(
premise_raw, hypo_raw, answer_raw, dialog_format=False, binary_classes=False
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Convert from NLI context to dialog text.
:param premise_raw: raw premise extracted from jsonl file.
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ColorBar.bgcolor | (self) |
Sets the color of padded area.
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... |
Sets the color of padded area.
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... | def bgcolor(self):
"""
Sets the color of padded area.
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 str... | [
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ColorBar.bordercolor | (self) |
Sets the axis line color.
The 'bordercolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... |
Sets the axis line color.
The 'bordercolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... | def bordercolor(self):
"""
Sets the axis line color.
The 'bordercolor' 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 ... | [
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ColorBar.borderwidth | (self) |
Sets the width (in px) or the border enclosing this color bar.
The 'borderwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the width (in px) or the border enclosing this color bar.
The 'borderwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def borderwidth(self):
"""
Sets the width (in px) or the border enclosing this color bar.
The 'borderwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
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ColorBar.dtick | (self) |
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, 1... |
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, 1... | def dtick(self):
"""
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... | [
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ColorBar.exponentformat | (self) |
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.
The 'exponentformat' prop... |
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.
The 'exponentformat' prop... | def exponentformat(self):
"""
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.
... | [
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251,
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ColorBar.len | (self) |
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.
The 'len' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Return... |
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.
The 'len' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def len(self):
"""
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.
The 'len' property is a number and may be specified as:
- An int or float in the interva... | [
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ColorBar.lenmode | (self) |
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.
The 'lenmode' property is an enumeration that may be specified as:
- One of the following enumerati... |
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.
The 'lenmode' property is an enumeration that may be specified as:
- One of the following enumerati... | def lenmode(self):
"""
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.
The 'lenmode' property is an enumeration that may be specified as:
- ... | [
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ColorBar.nticks | (self) |
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".
The 'nticks' property is a integer and may be specified as:
... |
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".
The 'nticks' property is a integer and may be specified as:
... | def nticks(self):
"""
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".
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320,
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] | python | en | ['en', 'error', 'th'] | False |
ColorBar.outlinecolor | (self) |
Sets the axis line color.
The 'outlinecolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... |
Sets the axis line color.
The 'outlinecolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... | def outlinecolor(self):
"""
Sets the axis line color.
The 'outlinecolor' 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/hsv... | [
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329,
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379,
35
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.outlinewidth | (self) |
Sets the width (in px) of the axis line.
The 'outlinewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the width (in px) of the axis line.
The 'outlinewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def outlinewidth(self):
"""
Sets the width (in px) of the axis line.
The 'outlinewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["outlinewidth"] | [
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399,
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ColorBar.separatethousands | (self) |
If "true", even 4-digit integers are separated
The 'separatethousands' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
If "true", even 4-digit integers are separated
The 'separatethousands' property must be specified as a bool
(either True, or False) | def separatethousands(self):
"""
If "true", even 4-digit integers are separated
The 'separatethousands' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["separatethousands"] | [
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] | [
408,
4
] | [
419,
40
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.showexponent | (self) |
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.
The 'showexponent' property is an enumeration that may be specifie... |
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.
The 'showexponent' property is an enumeration that may be specifie... | def showexponent(self):
"""
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.
The 'showexponent' property is ... | [
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"self",
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"]"
] | [
428,
4
] | [
443,
35
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.showticklabels | (self) |
Determines whether or not the tick labels are drawn.
The 'showticklabels' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Determines whether or not the tick labels are drawn.
The 'showticklabels' property must be specified as a bool
(either True, or False) | def showticklabels(self):
"""
Determines whether or not the tick labels are drawn.
The 'showticklabels' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showticklabels"] | [
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452,
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] | [
463,
37
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.showtickprefix | (self) |
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.
The 'showtickprefix' property is an enumeration that may be spec... |
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.
The 'showtickprefix' property is an enumeration that may be spec... | def showtickprefix(self):
"""
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.
The 'showtickprefix' proper... | [
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] | [
472,
4
] | [
487,
37
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.showticksuffix | (self) |
Same as `showtickprefix` but for tick suffixes.
The 'showticksuffix' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none']
Returns
-------
Any
|
Same as `showtickprefix` but for tick suffixes.
The 'showticksuffix' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none'] | def showticksuffix(self):
"""
Same as `showtickprefix` but for tick suffixes.
The 'showticksuffix' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none']
Returns
-------
... | [
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] | [
496,
4
] | [
508,
37
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.thickness | (self) |
Sets the thickness of the color bar This measure excludes the
size of the padding, ticks and labels.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the thickness of the color bar This measure excludes the
size of the padding, ticks and labels.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def thickness(self):
"""
Sets the thickness of the color bar This measure excludes the
size of the padding, ticks and labels.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
i... | [
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] | [
517,
4
] | [
529,
32
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.thicknessmode | (self) |
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.
The 'thicknessmode' property is an enumeration that may be specified as:
- One of the foll... |
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.
The 'thicknessmode' property is an enumeration that may be specified as:
- One of the foll... | def thicknessmode(self):
"""
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.
The 'thicknessmode' property is an enumeration that may be speci... | [
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"self",
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"]"
] | [
538,
4
] | [
552,
36
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tick0 | (self) |
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 `ty... |
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 `ty... | def tick0(self):
"""
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... | [
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] | [
561,
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] | [
579,
28
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickangle | (self) |
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the tick
labels vertically.
The 'tickangle' property is a angle (in degrees) that may be
specified as a number between -180 and 180. Numeric values outside this
... |
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the tick
labels vertically.
The 'tickangle' property is a angle (in degrees) that may be
specified as a number between -180 and 180. Numeric values outside this
... | def tickangle(self):
"""
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the tick
labels vertically.
The 'tickangle' property is a angle (in degrees) that may be
specified as a number between -180 and 180. Num... | [
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"tickangle",
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"self",
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"]"
] | [
588,
4
] | [
603,
32
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickcolor | (self) |
Sets the tick color.
The 'tickcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... |
Sets the tick color.
The 'tickcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... | def tickcolor(self):
"""
Sets the tick color.
The 'tickcolor' 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... | [
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] | [
612,
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] | [
662,
32
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickfont | (self) |
Sets the color bar's tick label font
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickfont`
- A dict of string/value properties that will be passed
to the Tickfon... |
Sets the color bar's tick label font
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickfont`
- A dict of string/value properties that will be passed
to the Tickfon... | def tickfont(self):
"""
Sets the color bar's tick label font
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram2d.colorbar.Tickfont`
- A dict of string/value properties that will be pa... | [
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] | [
671,
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] | [
708,
31
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickformat | (self) |
Sets the tick label formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://github.com/d3/d3-3.x-api-
refer... |
Sets the tick label formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://github.com/d3/d3-3.x-api-
refer... | def tickformat(self):
"""
Sets the tick label formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://github... | [
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"\"tickformat\"",
"]"
] | [
717,
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] | [
737,
33
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickformatstops | (self) |
The 'tickformatstops' property is a tuple of instances of
Tickformatstop that may be specified as:
- A list or tuple of instances of plotly.graph_objs.histogram2d.colorbar.Tickformatstop
- A list or tuple of dicts of string/value properties that
will be passed to the Tic... |
The 'tickformatstops' property is a tuple of instances of
Tickformatstop that may be specified as:
- A list or tuple of instances of plotly.graph_objs.histogram2d.colorbar.Tickformatstop
- A list or tuple of dicts of string/value properties that
will be passed to the Tic... | def tickformatstops(self):
"""
The 'tickformatstops' property is a tuple of instances of
Tickformatstop that may be specified as:
- A list or tuple of instances of plotly.graph_objs.histogram2d.colorbar.Tickformatstop
- A list or tuple of dicts of string/value properties that... | [
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"]"
] | [
746,
4
] | [
794,
38
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickformatstopdefaults | (self) |
When used in a template (as layout.template.data.histogram2d.co
lorbar.tickformatstopdefaults), sets the default property
values to use for elements of
histogram2d.colorbar.tickformatstops
The 'tickformatstopdefaults' property is an instance of Tickformatstop
that m... |
When used in a template (as layout.template.data.histogram2d.co
lorbar.tickformatstopdefaults), sets the default property
values to use for elements of
histogram2d.colorbar.tickformatstops
The 'tickformatstopdefaults' property is an instance of Tickformatstop
that m... | def tickformatstopdefaults(self):
"""
When used in a template (as layout.template.data.histogram2d.co
lorbar.tickformatstopdefaults), sets the default property
values to use for elements of
histogram2d.colorbar.tickformatstops
The 'tickformatstopdefaults' property is... | [
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"tickformatstopdefaults",
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"return",
"self",
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"\"tickformatstopdefaults\"",
"]"
] | [
803,
4
] | [
822,
45
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.ticklen | (self) |
Sets the tick length (in px).
The 'ticklen' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the tick length (in px).
The 'ticklen' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def ticklen(self):
"""
Sets the tick length (in px).
The 'ticklen' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["ticklen"] | [
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] | python | en | ['en', 'error', 'th'] | False |
ColorBar.tickmode | (self) |
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... |
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... | def tickmode(self):
"""
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`... | [
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851,
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869,
31
] | python | en | ['en', 'error', 'th'] | False |
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"] | [
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890,
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] | 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... | [
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"return",
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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"] | [
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] | [
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
... | [
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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"] | [
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965,
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] | [
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
... | [
"def",
"tickvals",
"(",
"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",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"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.histogram2d.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.histogram2d.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.histogram2d.colorbar.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Sup... | [
"def",
"title",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"title\"",
"]"
] | [
1046,
4
] | [
1076,
28
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.titlefont | (self) |
Deprecated: Please use histogram2d.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:
- An insta... |
Deprecated: Please use histogram2d.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:
- An insta... | def titlefont(self):
"""
Deprecated: Please use histogram2d.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 sp... | [
"def",
"titlefont",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"titlefont\"",
"]"
] | [
1085,
4
] | [
1124,
32
] | python | en | ['en', 'error', 'th'] | False |
ColorBar.titleside | (self) |
Deprecated: Please use histogram2d.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 that ... |
Deprecated: Please use histogram2d.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 that ... | def titleside(self):
"""
Deprecated: Please use histogram2d.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\"",
"]"
] | [
1133,
4
] | [
1148,
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\"",
"]"
] | [
1157,
4
] | [
1168,
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\"",
"]"
] | [
1177,
4
] | [
1191,
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"] | [
"def",
"xpad",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"xpad\"",
"]"
] | [
1200,
4
] | [
1211,
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"] | [
"def",
"y",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"y\"",
"]"
] | [
1220,
4
] | [
1231,
24
] | python | en | ['en', 'error', 'th'] | False |
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