code stringlengths 66 870k | docstring stringlengths 19 26.7k | func_name stringlengths 1 138 | language stringclasses 1
value | repo stringlengths 7 68 | path stringlengths 5 324 | url stringlengths 46 389 | license stringclasses 7
values |
|---|---|---|---|---|---|---|---|
def test_backend_parameters_kwargs(self):
""" It should pass on kwargs specified as keyword params. """
TracingBackend.kwargs = None
msg = mail.EmailMessage()
tasks.send_email(email_to_dict(msg), foo='bar')
self.assertEqual(TracingBackend.kwargs.get('foo'), 'bar') | It should pass on kwargs specified as keyword params. | test_backend_parameters_kwargs | python | pmclanahan/django-celery-email | tests/tests.py | https://github.com/pmclanahan/django-celery-email/blob/master/tests/tests.py | BSD-3-Clause |
def test_backend_parameters(self):
""" Our backend should pass kwargs to the 'send_emails' task. """
kwargs = {'auth_user': 'user', 'auth_password': 'pass'}
mail.send_mass_mail([
('test1', 'Testing with Celery! w00t!!', 'from@example.com', ['to@example.com']),
('test2', '... | Our backend should pass kwargs to the 'send_emails' task. | test_backend_parameters | python | pmclanahan/django-celery-email | tests/tests.py | https://github.com/pmclanahan/django-celery-email/blob/master/tests/tests.py | BSD-3-Clause |
def test_chunking(self):
"""
Given 11 messages and a chunk size of 4, the backend should queue
11/4 = 3 jobs (2 jobs with 4 messages and 1 job with 3 messages).
"""
N = 11
chunksize = 4
with override_settings(CELERY_EMAIL_CHUNK_SIZE=4):
mail.send_mass... |
Given 11 messages and a chunk size of 4, the backend should queue
11/4 = 3 jobs (2 jobs with 4 messages and 1 job with 3 messages).
| test_chunking | python | pmclanahan/django-celery-email | tests/tests.py | https://github.com/pmclanahan/django-celery-email/blob/master/tests/tests.py | BSD-3-Clause |
def register_vcs_handler(vcs, method): # decorator
"""Create decorator to mark a method as the handler of a VCS."""
def decorate(f):
"""Store f in HANDLERS[vcs][method]."""
HANDLERS.setdefault(vcs, {})[method] = f
return f
return decorate | Create decorator to mark a method as the handler of a VCS. | register_vcs_handler | python | mars-project/mars | versioneer.py | https://github.com/mars-project/mars/blob/master/versioneer.py | Apache-2.0 |
def render_pep440_branch(pieces):
"""TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
The ".dev0" means not master branch. Note that .dev0 sorts backwards
(a feature branch will appear "older" than the master branch).
Exceptions:
1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
"""
if pieces["close... | TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
The ".dev0" means not master branch. Note that .dev0 sorts backwards
(a feature branch will appear "older" than the master branch).
Exceptions:
1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
| render_pep440_branch | python | mars-project/mars | versioneer.py | https://github.com/mars-project/mars/blob/master/versioneer.py | Apache-2.0 |
def pep440_split_post(ver):
"""Split pep440 version string at the post-release segment.
Returns the release segments before the post-release and the
post-release version number (or -1 if no post-release segment is present).
"""
vc = str.split(ver, ".post")
return vc[0], int(vc[1] or 0) if len(v... | Split pep440 version string at the post-release segment.
Returns the release segments before the post-release and the
post-release version number (or -1 if no post-release segment is present).
| pep440_split_post | python | mars-project/mars | versioneer.py | https://github.com/mars-project/mars/blob/master/versioneer.py | Apache-2.0 |
def render_pep440_pre(pieces):
"""TAG[.postN.devDISTANCE] -- No -dirty.
Exceptions:
1: no tags. 0.post0.devDISTANCE
"""
if pieces["closest-tag"]:
if pieces["distance"]:
# update the post release segment
tag_version, post_version = pep440_split_post(pieces["closest-ta... | TAG[.postN.devDISTANCE] -- No -dirty.
Exceptions:
1: no tags. 0.post0.devDISTANCE
| render_pep440_pre | python | mars-project/mars | versioneer.py | https://github.com/mars-project/mars/blob/master/versioneer.py | Apache-2.0 |
def render_pep440_post_branch(pieces):
"""TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
The ".dev0" means not master branch.
Exceptions:
1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
"""
if pieces["closest-tag"]:
rendered = pieces["closest-tag"]
if pieces["distance"] or pieces["dir... | TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
The ".dev0" means not master branch.
Exceptions:
1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
| render_pep440_post_branch | python | mars-project/mars | versioneer.py | https://github.com/mars-project/mars/blob/master/versioneer.py | Apache-2.0 |
def render_pep440_old(pieces):
"""TAG[.postDISTANCE[.dev0]] .
The ".dev0" means dirty.
Exceptions:
1: no tags. 0.postDISTANCE[.dev0]
"""
if pieces["closest-tag"]:
rendered = pieces["closest-tag"]
if pieces["distance"] or pieces["dirty"]:
rendered += ".post%d" % piec... | TAG[.postDISTANCE[.dev0]] .
The ".dev0" means dirty.
Exceptions:
1: no tags. 0.postDISTANCE[.dev0]
| render_pep440_old | python | mars-project/mars | versioneer.py | https://github.com/mars-project/mars/blob/master/versioneer.py | Apache-2.0 |
def get_cmdclass(cmdclass=None):
"""Get the custom setuptools subclasses used by Versioneer.
If the package uses a different cmdclass (e.g. one from numpy), it
should be provide as an argument.
"""
if "versioneer" in sys.modules:
del sys.modules["versioneer"]
# this fixes the "pytho... | Get the custom setuptools subclasses used by Versioneer.
If the package uses a different cmdclass (e.g. one from numpy), it
should be provide as an argument.
| get_cmdclass | python | mars-project/mars | versioneer.py | https://github.com/mars-project/mars/blob/master/versioneer.py | Apache-2.0 |
def do_setup():
"""Do main VCS-independent setup function for installing Versioneer."""
root = get_root()
try:
cfg = get_config_from_root(root)
except (OSError, configparser.NoSectionError,
configparser.NoOptionError) as e:
if isinstance(e, (OSError, configparser.NoSectionErr... | Do main VCS-independent setup function for installing Versioneer. | do_setup | python | mars-project/mars | versioneer.py | https://github.com/mars-project/mars/blob/master/versioneer.py | Apache-2.0 |
def q07(lineitem, supplier, orders, customer, nation):
"""This version is faster than q07_old. Keeping the old one for reference"""
lineitem_filtered = lineitem[
(lineitem["L_SHIPDATE"] >= md.Timestamp("1995-01-01"))
& (lineitem["L_SHIPDATE"] < md.Timestamp("1997-01-01"))
]
lineitem_filt... | This version is faster than q07_old. Keeping the old one for reference | q07 | python | mars-project/mars | benchmarks/tpch/run_queries.py | https://github.com/mars-project/mars/blob/master/benchmarks/tpch/run_queries.py | Apache-2.0 |
def _normalize(string, prefix="", width=76):
r"""Convert a string into a format that is appropriate for .po files.
>>> print(normalize('''Say:
... "hello, world!"
... ''', width=None))
""
"Say:\n"
" \"hello, world!\"\n"
>>> print(normalize('''Say:
... "Lorem ipsum dolor sit amet... | Convert a string into a format that is appropriate for .po files.
>>> print(normalize('''Say:
... "hello, world!"
... ''', width=None))
""
"Say:\n"
" \"hello, world!\"\n"
>>> print(normalize('''Say:
... "Lorem ipsum dolor sit amet, consectetur adipisicing elit, "
... ''', width=... | _normalize | python | mars-project/mars | docs/source/norm_zh.py | https://github.com/mars-project/mars/blob/master/docs/source/norm_zh.py | Apache-2.0 |
async def init(
cls, address: str, session_id: str, new: bool = True, **kwargs
) -> "AbstractSession":
"""
Init a new session.
Parameters
----------
address : str
Address.
session_id : str
Session ID.
new : bool
New... |
Init a new session.
Parameters
----------
address : str
Address.
session_id : str
Session ID.
new : bool
New a session.
kwargs
Returns
-------
session
| init | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def execute(self, *tileables, **kwargs) -> ExecutionInfo:
"""
Execute tileables.
Parameters
----------
tileables
Tileables.
kwargs
""" |
Execute tileables.
Parameters
----------
tileables
Tileables.
kwargs
| execute | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def fetch(self, *tileables, **kwargs) -> list:
"""
Fetch tileables' data.
Parameters
----------
tileables
Tileables.
Returns
-------
data
""" |
Fetch tileables' data.
Parameters
----------
tileables
Tileables.
Returns
-------
data
| fetch | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def fetch_tileable_op_logs(
self,
tileable_op_key: str,
offsets: Union[Dict[str, List[int]], str, int],
sizes: Union[Dict[str, List[int]], str, int],
) -> Dict:
"""
Fetch logs given tileable op key.
Parameters
----------
tileable_op_key ... |
Fetch logs given tileable op key.
Parameters
----------
tileable_op_key : str
Tileable op key.
offsets
Chunk op key to offsets.
sizes
Chunk op key to sizes.
Returns
-------
chunk_key_to_logs
| fetch_tileable_op_logs | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def get_total_n_cpu(self):
"""
Get number of cluster cpus.
Returns
-------
number_of_cpu: int
""" |
Get number of cluster cpus.
Returns
-------
number_of_cpu: int
| get_total_n_cpu | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def get_cluster_versions(self) -> List[str]:
"""
Get versions used in current Mars cluster
Returns
-------
version_list : list
List of versions
""" |
Get versions used in current Mars cluster
Returns
-------
version_list : list
List of versions
| get_cluster_versions | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def get_web_endpoint(self) -> Optional[str]:
"""
Get web endpoint of current session
Returns
-------
web_endpoint : str
web endpoint
""" |
Get web endpoint of current session
Returns
-------
web_endpoint : str
web endpoint
| get_web_endpoint | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def create_remote_object(
self, session_id: str, name: str, object_cls, *args, **kwargs
):
"""
Create remote object
Parameters
----------
session_id : str
Session ID.
name : str
object_cls
args
kwargs
Returns... |
Create remote object
Parameters
----------
session_id : str
Session ID.
name : str
object_cls
args
kwargs
Returns
-------
actor_ref
| create_remote_object | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def get_remote_object(self, session_id: str, name: str):
"""
Get remote object.
Parameters
----------
session_id : str
Session ID.
name : str
Returns
-------
actor_ref
""" |
Get remote object.
Parameters
----------
session_id : str
Session ID.
name : str
Returns
-------
actor_ref
| get_remote_object | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def destroy_remote_object(self, session_id: str, name: str):
"""
Destroy remote object.
Parameters
----------
session_id : str
Session ID.
name : str
""" |
Destroy remote object.
Parameters
----------
session_id : str
Session ID.
name : str
| destroy_remote_object | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def create_mutable_tensor(
self,
shape: tuple,
dtype: Union[np.dtype, str],
name: str = None,
default_value: Union[int, float] = 0,
chunk_size: Union[int, Tuple] = None,
):
"""
Create a mutable tensor.
Parameters
----------
... |
Create a mutable tensor.
Parameters
----------
shape: tuple
Shape of the mutable tensor.
dtype: np.dtype or str
Data type of the mutable tensor.
name: str, optional
Name of the mutable tensor, a random name will be used if not speci... | create_mutable_tensor | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
async def get_mutable_tensor(self, name: str):
"""
Get a mutable tensor by name.
Parameters
----------
name: str
Name of the mutable tensor to get.
Returns
-------
MutableTensor
""" |
Get a mutable tensor by name.
Parameters
----------
name: str
Name of the mutable tensor to get.
Returns
-------
MutableTensor
| get_mutable_tensor | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
def init(
cls,
address: str,
session_id: str,
backend: str = "mars",
new: bool = True,
**kwargs,
) -> "AbstractSession":
"""
Init a new session.
Parameters
----------
address : str
Address.
session_id : str
... |
Init a new session.
Parameters
----------
address : str
Address.
session_id : str
Session ID.
backend : str
Backend.
new : bool
New a session.
kwargs
Returns
-------
session
... | init | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
def execute(
self, tileable, *tileables, show_progress: Union[bool, str] = None, **kwargs
) -> Union[List[TileableType], TileableType, ExecutionInfo]:
"""
Execute tileables.
Parameters
----------
tileable
Tileable.
tileables
Tileables.... |
Execute tileables.
Parameters
----------
tileable
Tileable.
tileables
Tileables.
show_progress
If show progress.
kwargs
Returns
-------
result
| execute | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
def fetch(self, *tileables, **kwargs) -> list:
"""
Fetch tileables.
Parameters
----------
tileables
Tileables.
kwargs
Returns
-------
fetched_data : list
""" |
Fetch tileables.
Parameters
----------
tileables
Tileables.
kwargs
Returns
-------
fetched_data : list
| fetch | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
def fetch_infos(self, *tileables, fields, **kwargs) -> list:
"""
Fetch infos of tileables.
Parameters
----------
tileables
Tileables.
fields
List of fields
kwargs
Returns
-------
fetched_infos : list
""" |
Fetch infos of tileables.
Parameters
----------
tileables
Tileables.
fields
List of fields
kwargs
Returns
-------
fetched_infos : list
| fetch_infos | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
def decref(self, *tileables_keys):
"""
Decref tileables.
Parameters
----------
tileables_keys : list
Tileables' keys
""" |
Decref tileables.
Parameters
----------
tileables_keys : list
Tileables' keys
| decref | python | mars-project/mars | mars/session.py | https://github.com/mars-project/mars/blob/master/mars/session.py | Apache-2.0 |
def merge_chunks(chunk_results: List[Tuple[Tuple[int], Any]]) -> Any:
"""
Concatenate chunk results according to index.
Parameters
----------
chunk_results : list of tuple, {(chunk_idx, chunk_result), ...,}
Returns
-------
Data
"""
from sklearn.base import BaseEstimator
fr... |
Concatenate chunk results according to index.
Parameters
----------
chunk_results : list of tuple, {(chunk_idx, chunk_result), ...,}
Returns
-------
Data
| merge_chunks | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def calc_nsplits(chunk_idx_to_shape: Dict[Tuple[int], Tuple[int]]) -> Tuple[Tuple[int]]:
"""
Calculate a tiled entity's nsplits.
Parameters
----------
chunk_idx_to_shape : Dict type, {chunk_idx: chunk_shape}
Returns
-------
nsplits
"""
ndim = len(next(iter(chunk_idx_to_shape)))... |
Calculate a tiled entity's nsplits.
Parameters
----------
chunk_idx_to_shape : Dict type, {chunk_idx: chunk_shape}
Returns
-------
nsplits
| calc_nsplits | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def flatten(nested_iterable: Union[List, Tuple]) -> List:
"""
Flatten a nested iterable into a list.
Parameters
----------
nested_iterable : list or tuple
an iterable which can contain other iterables
Returns
-------
flattened : list
Examples
--------
>>> flatten([... |
Flatten a nested iterable into a list.
Parameters
----------
nested_iterable : list or tuple
an iterable which can contain other iterables
Returns
-------
flattened : list
Examples
--------
>>> flatten([[0, 1], [2, 3]])
[0, 1, 2, 3]
>>> flatten([[0, 1], [[3], ... | flatten | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def stack_back(flattened: List, raw: Union[List, Tuple]) -> Union[List, Tuple]:
"""
Organize a new iterable from a flattened list according to raw iterable.
Parameters
----------
flattened : list
flattened list
raw: list
raw iterable
Returns
-------
ret : list
... |
Organize a new iterable from a flattened list according to raw iterable.
Parameters
----------
flattened : list
flattened list
raw: list
raw iterable
Returns
-------
ret : list
Examples
--------
>>> raw = [[0, 1], [2, [3, 4]]]
>>> flattened = flatten(r... | stack_back | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def adapt_mars_docstring(doc: str) -> str:
"""
Adapt numpy-style docstrings to Mars docstring.
This util function will add Mars imports, replace object references
and add execute calls. Note that check is needed after replacement.
"""
if doc is None:
return None
lines = []
firs... |
Adapt numpy-style docstrings to Mars docstring.
This util function will add Mars imports, replace object references
and add execute calls. Note that check is needed after replacement.
| adapt_mars_docstring | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def quiet_stdio():
"""Quiets standard outputs when inferring types of functions"""
with _io_quiet_lock:
_io_quiet_local.is_wrapped = True
sys.stdout = _QuietIOWrapper(sys.stdout)
sys.stderr = _QuietIOWrapper(sys.stderr)
try:
yield
finally:
with _io_quiet_lock:
... | Quiets standard outputs when inferring types of functions | quiet_stdio | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def stringify_path(path: Union[str, os.PathLike]) -> str:
"""
Convert *path* to a string or unicode path if possible.
"""
if isinstance(path, str):
return path
# checking whether path implements the filesystem protocol
try:
return path.__fspath__()
except AttributeError:
... |
Convert *path* to a string or unicode path if possible.
| stringify_path | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def register_asyncio_task_timeout_detector(
check_interval: int = None,
task_timeout_seconds: int = None,
task_exclude_filters: List[str] = None,
) -> Optional[asyncio.Task]: # pragma: no cover
"""Register a asyncio task which print timeout task periodically."""
check_interval = check_interval or i... | Register a asyncio task which print timeout task periodically. | register_asyncio_task_timeout_detector | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def merge_dict(dest: Dict, src: Dict, path=None, overwrite=True):
"""
Merges src dict into dest dict.
Parameters
----------
dest: Dict
dest dict
src: Dict
source dict
path: List
merge path
overwrite: bool
Whether overwrite dest dict when where is a confli... |
Merges src dict into dest dict.
Parameters
----------
dest: Dict
dest dict
src: Dict
source dict
path: List
merge path
overwrite: bool
Whether overwrite dest dict when where is a conflict
Returns
-------
Dict
Updated dest dict
| merge_dict | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def flatten_dict_to_nested_dict(flatten_dict: Dict, sep=".") -> Dict:
"""
Return nested dict from flatten dict.
Parameters
----------
flatten_dict: Dict
sep: str
flatten key separator
Returns
-------
Dict
Nested dict
"""
assert all(isinstance(k, str) for k i... |
Return nested dict from flatten dict.
Parameters
----------
flatten_dict: Dict
sep: str
flatten key separator
Returns
-------
Dict
Nested dict
| flatten_dict_to_nested_dict | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def is_full_slice(slc: Any) -> bool:
"""Check if the input is a full slice ((:) or (0:))"""
return (
isinstance(slc, slice)
and (slc.start == 0 or slc.start is None)
and slc.stop is None
and slc.step is None
) | Check if the input is a full slice ((:) or (0:)) | is_full_slice | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def wrap_exception(
exc: Exception,
bases: Tuple[Type] = None,
wrap_name: str = None,
message: str = None,
traceback: Optional[TracebackType] = None,
attr_dict: dict = None,
):
"""Generate an exception wraps the cause exception."""
def __init__(self):
pass
def __getattr__(s... | Generate an exception wraps the cause exception. | wrap_exception | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def get_node_ip_address(address="8.8.8.8:53"):
"""Determine the IP address of the local node.
Args:
address (str): The IP address and port of any known live service on the
network you care about.
Returns:
The IP address of the current node.
"""
ip_address, port = addres... | Determine the IP address of the local node.
Args:
address (str): The IP address and port of any known live service on the
network you care about.
Returns:
The IP address of the current node.
| get_node_ip_address | python | mars-project/mars | mars/utils.py | https://github.com/mars-project/mars/blob/master/mars/utils.py | Apache-2.0 |
def convert_dask_collection(dc):
"""
Convert dask collection object into mars.core.Object via remote API
Parameters
----------
dc: dask collection
Dask collection object to be converted.
Returns
-------
Object
Mars Object.
"""
if not is_dask_collection(dc):
... |
Convert dask collection object into mars.core.Object via remote API
Parameters
----------
dc: dask collection
Dask collection object to be converted.
Returns
-------
Object
Mars Object.
| convert_dask_collection | python | mars-project/mars | mars/contrib/dask/converter.py | https://github.com/mars-project/mars/blob/master/mars/contrib/dask/converter.py | Apache-2.0 |
def mars_scheduler(dsk: dict, keys: Union[List[List[str]], List[str]]):
"""
A Dask-Mars scheduler
This scheduler is intended to be compatible with existing
dask user interface, no callbacks are implemented.
Parameters
----------
dsk: Dict
Dask graph, represented as a task DAG dicti... |
A Dask-Mars scheduler
This scheduler is intended to be compatible with existing
dask user interface, no callbacks are implemented.
Parameters
----------
dsk: Dict
Dask graph, represented as a task DAG dictionary.
keys: Union[List[List[str]], List[str]]
1d or 2d list of Das... | mars_scheduler | python | mars-project/mars | mars/contrib/dask/scheduler.py | https://github.com/mars-project/mars/blob/master/mars/contrib/dask/scheduler.py | Apache-2.0 |
def mars_dask_get(dsk: dict, keys: Union[List[List[str]], List[str]]):
"""
A Dask-Mars convert function. This function will send the dask graph layers
to Mars Remote API, generating mars objects correspond to the provided keys.
Parameters
----------
dsk: Dict
Dask graph, represented... |
A Dask-Mars convert function. This function will send the dask graph layers
to Mars Remote API, generating mars objects correspond to the provided keys.
Parameters
----------
dsk: Dict
Dask graph, represented as a task DAG dictionary.
keys: Union[List[List[str]], List[str]]
... | mars_dask_get | python | mars-project/mars | mars/contrib/dask/scheduler.py | https://github.com/mars-project/mars/blob/master/mars/contrib/dask/scheduler.py | Apache-2.0 |
def concat(objs: List):
"""
Concat the results of partitioned dask task executions. This function guess the
types of resulting list, then calls the corresponding native dask concat functions.
Parameters
----------
objs: List
List of the partitioned dask task execution results, which... |
Concat the results of partitioned dask task executions. This function guess the
types of resulting list, then calls the corresponding native dask concat functions.
Parameters
----------
objs: List
List of the partitioned dask task execution results, which will be concat.
Returns
... | concat | python | mars-project/mars | mars/contrib/dask/utils.py | https://github.com/mars-project/mars/blob/master/mars/contrib/dask/utils.py | Apache-2.0 |
def get_local_host_ip(self) -> str:
"""
Get local worker's host ip
Returns
-------
host_ip : str
""" |
Get local worker's host ip
Returns
-------
host_ip : str
| get_local_host_ip | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def get_total_n_cpu(self) -> int:
"""
Get number of cpus.
Returns
-------
number_of_cpu: int
""" |
Get number of cpus.
Returns
-------
number_of_cpu: int
| get_total_n_cpu | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def get_slots(self) -> int:
"""
Get num of slots of current band
Returns
-------
number_of_bands: int
""" |
Get num of slots of current band
Returns
-------
number_of_bands: int
| get_slots | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def get_chunks_result(self, data_keys: List[str], fetch_only: bool = False) -> List:
"""
Get result of chunks.
Parameters
----------
data_keys : list
Data keys.
fetch_only : bool
If fetch_only, only fetch data but not return.
Returns
... |
Get result of chunks.
Parameters
----------
data_keys : list
Data keys.
fetch_only : bool
If fetch_only, only fetch data but not return.
Returns
-------
results : list
Result of chunks if not fetch_only, else return N... | get_chunks_result | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def get_chunks_meta(
self, data_keys: List[str], fields: List[str] = None, error="raise"
) -> List[Dict]:
"""
Get meta of chunks.
Parameters
----------
data_keys : list
Data keys.
fields : list
Fields to filter.
error : str
... |
Get meta of chunks.
Parameters
----------
data_keys : list
Data keys.
fields : list
Fields to filter.
error : str
raise, ignore
Returns
-------
meta_list : list
Meta list.
| get_chunks_meta | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def get_storage_info(self, address: str, level: StorageLevel):
"""
Get the customized storage backend info of requested storage backend level at given worker.
Parameters
----------
address: str
The worker address.
level: StorageLevel
The storage l... |
Get the customized storage backend info of requested storage backend level at given worker.
Parameters
----------
address: str
The worker address.
level: StorageLevel
The storage level to fetch the backend info.
Returns
-------
i... | get_storage_info | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def create_remote_object(self, name: str, object_cls, *args, **kwargs):
"""
Create remote object.
Parameters
----------
name : str
Object name.
object_cls
Object class.
args
kwargs
Returns
-------
ref
... |
Create remote object.
Parameters
----------
name : str
Object name.
object_cls
Object class.
args
kwargs
Returns
-------
ref
| create_remote_object | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def get_remote_object(self, name: str):
"""
Get remote object
Parameters
----------
name : str
Object name.
Returns
-------
ref
""" |
Get remote object
Parameters
----------
name : str
Object name.
Returns
-------
ref
| get_remote_object | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def destroy_remote_object(self, name: str):
"""
Destroy remote object.
Parameters
----------
name : str
Object name.
""" |
Destroy remote object.
Parameters
----------
name : str
Object name.
| destroy_remote_object | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def register_custom_log_path(
self,
session_id: str,
tileable_op_key: str,
chunk_op_key: str,
worker_address: str,
log_path: str,
):
"""
Register custom log path.
Parameters
----------
session_id : str
Session ID.
... |
Register custom log path.
Parameters
----------
session_id : str
Session ID.
tileable_op_key : str
Key of tileable's op.
chunk_op_key : str
Kye of chunk's op.
worker_address : str
Worker address.
log_path :... | register_custom_log_path | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def new_custom_log_dir(self) -> str:
"""
New custom log dir.
Returns
-------
custom_log_dir : str
Custom log dir.
""" |
New custom log dir.
Returns
-------
custom_log_dir : str
Custom log dir.
| new_custom_log_dir | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def set_running_operand_key(self, session_id: str, op_key: str):
"""
Set key of running operand.
Parameters
----------
session_id : str
op_key : str
""" |
Set key of running operand.
Parameters
----------
session_id : str
op_key : str
| set_running_operand_key | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def set_progress(self, progress: float):
"""
Set progress of running operand.
Parameters
----------
progress : float
""" |
Set progress of running operand.
Parameters
----------
progress : float
| set_progress | python | mars-project/mars | mars/core/context.py | https://github.com/mars-project/mars/blob/master/mars/core/context.py | Apache-2.0 |
def redirect_custom_log(func: Callable[[Type, Context, OperandType], None]):
"""
Redirect stdout to a file by wrapping ``Operand.execute(ctx, op)``
"""
@functools.wraps(func)
def wrap(cls, ctx: Context, op: OperandType):
custom_log_dir = ctx.new_custom_log_dir()
if custom_log_dir i... |
Redirect stdout to a file by wrapping ``Operand.execute(ctx, op)``
| redirect_custom_log | python | mars-project/mars | mars/core/custom_log.py | https://github.com/mars-project/mars/blob/master/mars/core/custom_log.py | Apache-2.0 |
def init_extension_entrypoints():
"""Execute all `mars_extensions` entry points with the name `init`
If extensions have already been initialized, this function does nothing.
"""
from pkg_resources import iter_entry_points
for entry_point in iter_entry_points("mars_extensions", "init"):
logg... | Execute all `mars_extensions` entry points with the name `init`
If extensions have already been initialized, this function does nothing.
| init_extension_entrypoints | python | mars-project/mars | mars/core/entrypoints.py | https://github.com/mars-project/mars/blob/master/mars/core/entrypoints.py | Apache-2.0 |
def __getitem__(self, item):
"""
The indices for `cix` can be [x, y] or [x, :].
For the former the result will be a single chunk,
and for the later the result will be a list of chunks (flattened).
The length of indices must be the same with `chunk_shape` of tileable.
"""... |
The indices for `cix` can be [x, y] or [x, :].
For the former the result will be a single chunk,
and for the later the result will be a list of chunks (flattened).
The length of indices must be the same with `chunk_shape` of tileable.
| __getitem__ | python | mars-project/mars | mars/core/entity/tileables.py | https://github.com/mars-project/mars/blob/master/mars/core/entity/tileables.py | Apache-2.0 |
def results(self):
"""
Return result tileables or chunks.
Returns
-------
results
""" |
Return result tileables or chunks.
Returns
-------
results
| results | python | mars-project/mars | mars/core/graph/entity.py | https://github.com/mars-project/mars/blob/master/mars/core/graph/entity.py | Apache-2.0 |
def results(self, new_results):
"""
Set result tileables or chunks.
Parameters
----------
new_results
Returns
-------
""" |
Set result tileables or chunks.
Parameters
----------
new_results
Returns
-------
| results | python | mars-project/mars | mars/core/graph/entity.py | https://github.com/mars-project/mars/blob/master/mars/core/graph/entity.py | Apache-2.0 |
def build(self) -> Generator[Union[EntityGraph, ChunkGraph], None, None]:
"""
Build a entity graph.
Returns
-------
graph : EntityGraph
Entity graph.
""" |
Build a entity graph.
Returns
-------
graph : EntityGraph
Entity graph.
| build | python | mars-project/mars | mars/core/graph/builder/base.py | https://github.com/mars-project/mars/blob/master/mars/core/graph/builder/base.py | Apache-2.0 |
def get_logic_key(self):
"""The subclass may need to override this method to ensure unique and deterministic."""
fields = self._get_logic_key_token_values()
try:
return tokenize(*fields)
except Exception as e: # pragma: no cover
raise ValueError(
... | The subclass may need to override this method to ensure unique and deterministic. | get_logic_key | python | mars-project/mars | mars/core/operand/base.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/base.py | Apache-2.0 |
def new_chunks(
self, inputs: List[ChunkType], kws: List[Dict] = None, **kwargs
) -> List[ChunkType]:
"""
Create chunks.
A chunk is a node in a fine grained graph, all the chunk objects are created by
calling this function, it happens mostly in tiles.
The generated c... |
Create chunks.
A chunk is a node in a fine grained graph, all the chunk objects are created by
calling this function, it happens mostly in tiles.
The generated chunks will be set as this operand's outputs and each chunk will
hold this operand as it's op.
Parameters
... | new_chunks | python | mars-project/mars | mars/core/operand/core.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/core.py | Apache-2.0 |
def new_tileables(
self, inputs: List[TileableType], kws: List[dict] = None, **kw
) -> List[TileableType]:
"""
Create tileable objects(Tensors or DataFrames).
This is a base function for create tileable objects like tensors or dataframes,
it will be called inside the `new_te... |
Create tileable objects(Tensors or DataFrames).
This is a base function for create tileable objects like tensors or dataframes,
it will be called inside the `new_tensors` and `new_dataframes`.
If eager mode is on, it will trigger the execution after tileable objects are created.
... | new_tileables | python | mars-project/mars | mars/core/operand/core.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/core.py | Apache-2.0 |
def pre_tile(cls, op: OperandType):
"""
Operation before tile.
Parameters
----------
op : OperandType
Operand to tile
""" |
Operation before tile.
Parameters
----------
op : OperandType
Operand to tile
| pre_tile | python | mars-project/mars | mars/core/operand/core.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/core.py | Apache-2.0 |
def post_tile(cls, op: OperandType, results: List[TileableType]):
"""
Operation after tile.
Parameters
----------
op : OperandType
Operand to tile.
results: list
List of tiled results.
""" |
Operation after tile.
Parameters
----------
op : OperandType
Operand to tile.
results: list
List of tiled results.
| post_tile | python | mars-project/mars | mars/core/operand/core.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/core.py | Apache-2.0 |
def pre_execute(cls, ctx: Union[dict, Context], op: OperandType):
"""
Operation before execute.
Parameters
----------
ctx : dict
Data store.
op : OperandType
Operand to execute.
""" |
Operation before execute.
Parameters
----------
ctx : dict
Data store.
op : OperandType
Operand to execute.
| pre_execute | python | mars-project/mars | mars/core/operand/core.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/core.py | Apache-2.0 |
def post_execute(cls, ctx: Union[dict, Context], op: OperandType):
"""
Operand before execute.
Parameters
----------
ctx : dict
Data store
op : OperandType
Operand to execute.
""" |
Operand before execute.
Parameters
----------
ctx : dict
Data store
op : OperandType
Operand to execute.
| post_execute | python | mars-project/mars | mars/core/operand/core.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/core.py | Apache-2.0 |
def execute(cls, ctx, op):
"""
Fetch operand needs nothing to do.
""" |
Fetch operand needs nothing to do.
| execute | python | mars-project/mars | mars/core/operand/fetch.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/fetch.py | Apache-2.0 |
def execute(self, ctx, op):
"""The mapper stage must ensure all mapper blocks are inserted into ctx and no blocks
for some reducers are missing. This is needed by shuffle fetch by index,
which shuffle block are identified by the index instead of data keys.
For operands implementation si... | The mapper stage must ensure all mapper blocks are inserted into ctx and no blocks
for some reducers are missing. This is needed by shuffle fetch by index,
which shuffle block are identified by the index instead of data keys.
For operands implementation simplicity, we can sort the `ctx` by key ... | execute | python | mars-project/mars | mars/core/operand/shuffle.py | https://github.com/mars-project/mars/blob/master/mars/core/operand/shuffle.py | Apache-2.0 |
def to_frame(self, index: bool = True, name=None):
"""
Create a DataFrame with a column containing the Index.
Parameters
----------
index : bool, default True
Set the index of the returned DataFrame as the original Index.
name : object, default None
... |
Create a DataFrame with a column containing the Index.
Parameters
----------
index : bool, default True
Set the index of the returned DataFrame as the original Index.
name : object, default None
The passed name should substitute for the index name (if i... | to_frame | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def to_series(self, index=None, name=None):
"""
Create a Series with both index and values equal to the index keys.
Useful with map for returning an indexer based on an index.
Parameters
----------
index : Index, optional
Index of resulting Series. If None, ... |
Create a Series with both index and values equal to the index keys.
Useful with map for returning an indexer based on an index.
Parameters
----------
index : Index, optional
Index of resulting Series. If None, defaults to original index.
name : str, optiona... | to_series | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def index(self):
"""
The index (axis labels) of the Series.
"""
idx = self._data.index
idx._set_df_or_series(self, 0)
return idx |
The index (axis labels) of the Series.
| index | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def copy(self, deep=True): # pylint: disable=arguments-differ
"""
Make a copy of this object's indices and data.
When ``deep=True`` (default), a new object will be created with a
copy of the calling object's data and indices. Modifications to
the data or indices of the copy wil... |
Make a copy of this object's indices and data.
When ``deep=True`` (default), a new object will be created with a
copy of the calling object's data and indices. Modifications to
the data or indices of the copy will not be reflected in the
original object (see notes below).
... | copy | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def to_frame(self, name=None):
"""
Convert Series to DataFrame.
Parameters
----------
name : object, default None
The passed name should substitute for the series name (if it has
one).
Returns
-------
DataFrame
DataFra... |
Convert Series to DataFrame.
Parameters
----------
name : object, default None
The passed name should substitute for the series name (if it has
one).
Returns
-------
DataFrame
DataFrame representation of Series.
Exam... | to_frame | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def between(self, left, right, inclusive="both"):
"""
Return boolean Series equivalent to left <= series <= right.
This function returns a boolean vector containing `True` wherever the
corresponding Series element is between the boundary values `left` and
`right`. NA values are t... |
Return boolean Series equivalent to left <= series <= right.
This function returns a boolean vector containing `True` wherever the
corresponding Series element is between the boundary values `left` and
`right`. NA values are treated as `False`.
Parameters
----------
... | between | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def median(
self, axis=None, skipna=True, out=None, overwrite_input=False, keepdims=False
):
"""
Return the median of the values over the requested axis.
Parameters
----------
axis : {index (0)}
Axis or axes along which the medians are computed. The defau... |
Return the median of the values over the requested axis.
Parameters
----------
axis : {index (0)}
Axis or axes along which the medians are computed. The default
is to compute the median along a flattened version of the tensor.
A sequence of axes is s... | median | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def itertuples(self, index=True, name="Pandas", batch_size=1000, session=None):
"""
Iterate over DataFrame rows as namedtuples.
Parameters
----------
index : bool, default True
If True, return the index as the first element of the tuple.
name : str or None, d... |
Iterate over DataFrame rows as namedtuples.
Parameters
----------
index : bool, default True
If True, return the index as the first element of the tuple.
name : str or None, default "Pandas"
The name of the returned namedtuples or None to return regular
... | itertuples | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def assign(self, **kwargs):
"""
Assign new columns to a DataFrame.
Returns a new object with all original columns in addition to new ones.
Existing columns that are re-assigned will be overwritten.
Parameters
----------
**kwargs : dict of {str: callable or Series... |
Assign new columns to a DataFrame.
Returns a new object with all original columns in addition to new ones.
Existing columns that are re-assigned will be overwritten.
Parameters
----------
**kwargs : dict of {str: callable or Series}
The column names are keyw... | assign | python | mars-project/mars | mars/dataframe/core.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/core.py | Apache-2.0 |
def decide_dataframe_chunk_sizes(shape, chunk_size, memory_usage):
"""
Decide how a given DataFrame can be split into chunk.
:param shape: DataFrame's shape
:param chunk_size: if dict provided, it's dimension id to chunk size;
if provided, it's the chunk size for each dimension.
... |
Decide how a given DataFrame can be split into chunk.
:param shape: DataFrame's shape
:param chunk_size: if dict provided, it's dimension id to chunk size;
if provided, it's the chunk size for each dimension.
:param memory_usage: pandas Series in which each column's memory usage... | decide_dataframe_chunk_sizes | python | mars-project/mars | mars/dataframe/utils.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/utils.py | Apache-2.0 |
def split_monotonic_index_min_max(
left_min_max, left_increase, right_min_max, right_increase
):
"""
Split the original two min_max into new min_max. Each min_max should be a list
in which each item should be a 4-tuple indicates that this chunk's min value,
whether the min value is close, the max va... |
Split the original two min_max into new min_max. Each min_max should be a list
in which each item should be a 4-tuple indicates that this chunk's min value,
whether the min value is close, the max value, and whether the max value is close.
The return value would be a nested list, each item is a list
... | split_monotonic_index_min_max | python | mars-project/mars | mars/dataframe/utils.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/utils.py | Apache-2.0 |
def merge_index_value(to_merge_index_values: dict, store_data: bool = False):
"""
Merge index value according to their chunk index.
Parameters
----------
to_merge_index_values : dict
index to index_value
store_data : bool
store data in index_value
Returns
-------
me... |
Merge index value according to their chunk index.
Parameters
----------
to_merge_index_values : dict
index to index_value
store_data : bool
store data in index_value
Returns
-------
merged_index_value
| merge_index_value | python | mars-project/mars | mars/dataframe/utils.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/utils.py | Apache-2.0 |
def in_range_index(i, pd_range_index):
"""
Check whether the input `i` is within `pd_range_index` which is a pd.RangeIndex.
"""
start, stop, step = (
_get_range_index_start(pd_range_index),
_get_range_index_stop(pd_range_index),
_get_range_index_step(pd_range_index),
)
if... |
Check whether the input `i` is within `pd_range_index` which is a pd.RangeIndex.
| in_range_index | python | mars-project/mars | mars/dataframe/utils.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/utils.py | Apache-2.0 |
def validate_axis_style_args(
data, args, kwargs, arg_name, method_name
): # pragma: no cover
"""Argument handler for mixed index, columns / axis functions
In an attempt to handle both `.method(index, columns)`, and
`.method(arg, axis=.)`, we have to do some bad things to argument
parsing. This tr... | Argument handler for mixed index, columns / axis functions
In an attempt to handle both `.method(index, columns)`, and
`.method(arg, axis=.)`, we have to do some bad things to argument
parsing. This translates all arguments to `{index=., columns=.}` style.
Parameters
----------
data : DataFram... | validate_axis_style_args | python | mars-project/mars | mars/dataframe/utils.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/utils.py | Apache-2.0 |
def fetch_corner_data(df_or_series, session=None) -> pd.DataFrame:
"""
Fetch corner DataFrame or Series for repr usage.
:param df_or_series: DataFrame or Series
:return: corner DataFrame
"""
from .indexing.iloc import iloc
max_rows = pd.get_option("display.max_rows")
try:
min_r... |
Fetch corner DataFrame or Series for repr usage.
:param df_or_series: DataFrame or Series
:return: corner DataFrame
| fetch_corner_data | python | mars-project/mars | mars/dataframe/utils.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/utils.py | Apache-2.0 |
def patch_sa_engine_execute():
"""
pandas did not resolve compatibility issue of sqlalchemy 2.0, the issue
is https://github.com/pandas-dev/pandas/issues/40686. We need to patch
Engine class in SQLAlchemy, and then our code can work well.
"""
try:
from sqlalchemy.engine import Engine
... |
pandas did not resolve compatibility issue of sqlalchemy 2.0, the issue
is https://github.com/pandas-dev/pandas/issues/40686. We need to patch
Engine class in SQLAlchemy, and then our code can work well.
| patch_sa_engine_execute | python | mars-project/mars | mars/dataframe/utils.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/utils.py | Apache-2.0 |
def df_apply(
df,
func,
axis=0,
raw=False,
result_type=None,
args=(),
dtypes=None,
dtype=None,
name=None,
output_type=None,
index=None,
elementwise=None,
skip_infer=False,
**kwds,
):
"""
Apply a function along an axis of the DataFrame.
Objects passed ... |
Apply a function along an axis of the DataFrame.
Objects passed to the function are Series objects whose index is
either the DataFrame's index (``axis=0``) or the DataFrame's columns
(``axis=1``). By default (``result_type=None``), the final return type
is inferred from the return type of the appl... | df_apply | python | mars-project/mars | mars/dataframe/base/apply.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/apply.py | Apache-2.0 |
def series_apply(
series,
func,
convert_dtype=True,
output_type=None,
args=(),
dtypes=None,
dtype=None,
name=None,
index=None,
skip_infer=False,
**kwds,
):
"""
Invoke function on values of Series.
Can be ufunc (a NumPy function that applies to the entire Series)
... |
Invoke function on values of Series.
Can be ufunc (a NumPy function that applies to the entire Series)
or a Python function that only works on single values.
Parameters
----------
func : function
Python function or NumPy ufunc to apply.
convert_dtype : bool, default True
... | series_apply | python | mars-project/mars | mars/dataframe/base/apply.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/apply.py | Apache-2.0 |
def astype(df, dtype, copy=True, errors="raise"):
"""
Cast a pandas object to a specified dtype ``dtype``.
Parameters
----------
dtype : data type, or dict of column name -> data type
Use a numpy.dtype or Python type to cast entire pandas object to
the same type. Alternatively, use ... |
Cast a pandas object to a specified dtype ``dtype``.
Parameters
----------
dtype : data type, or dict of column name -> data type
Use a numpy.dtype or Python type to cast entire pandas object to
the same type. Alternatively, use {col: dtype, ...}, where col is a
column label an... | astype | python | mars-project/mars | mars/dataframe/base/astype.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/astype.py | Apache-2.0 |
def filter_by_bloom_filter(
df1: TileableType,
df2: TileableType,
left_on: Union[str, List],
right_on: Union[str, List],
max_elements: int = 10000,
error_rate: float = 0.1,
combine_size: int = None,
):
"""
Use bloom filter to filter DataFrame.
Parameters
----------
df1: ... |
Use bloom filter to filter DataFrame.
Parameters
----------
df1: DataFrame.
DataFrame to be filtered.
df2: DataFrame.
Dataframe to build filter.
left_on: str or list.
Column(s) selected on df1.
right_on: str or list.
Column(s) selected on df2.
max_elemen... | filter_by_bloom_filter | python | mars-project/mars | mars/dataframe/base/bloom_filter.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/bloom_filter.py | Apache-2.0 |
def cut(
x,
bins,
right: bool = True,
labels=None,
retbins: bool = False,
precision: int = 3,
include_lowest: bool = False,
duplicates: str = "raise",
ordered: bool = True,
):
"""
Bin values into discrete intervals.
Use `cut` when you need to segment and sort data values... |
Bin values into discrete intervals.
Use `cut` when you need to segment and sort data values into bins. This
function is also useful for going from a continuous variable to a
categorical variable. For example, `cut` could convert ages to groups of
age ranges. Supports binning into an equal number o... | cut | python | mars-project/mars | mars/dataframe/base/cut.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/cut.py | Apache-2.0 |
def df_diff(df, periods=1, axis=0):
"""
First discrete difference of element.
Calculates the difference of a DataFrame element compared with another
element in the DataFrame (default is the element in the same column
of the previous row).
Parameters
----------
periods : int, default 1
... |
First discrete difference of element.
Calculates the difference of a DataFrame element compared with another
element in the DataFrame (default is the element in the same column
of the previous row).
Parameters
----------
periods : int, default 1
Periods to shift for calculating dif... | df_diff | python | mars-project/mars | mars/dataframe/base/diff.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/diff.py | Apache-2.0 |
def df_pop(df, item):
"""
Return item and drop from frame. Raise KeyError if not found.
Parameters
----------
item : str
Label of column to be popped.
Returns
-------
Series
Examples
--------
>>> import numpy as np
>>> import mars.dataframe as md
>>> df = m... |
Return item and drop from frame. Raise KeyError if not found.
Parameters
----------
item : str
Label of column to be popped.
Returns
-------
Series
Examples
--------
>>> import numpy as np
>>> import mars.dataframe as md
>>> df = md.DataFrame([('falcon', 'bird... | df_pop | python | mars-project/mars | mars/dataframe/base/drop.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/drop.py | Apache-2.0 |
def series_drop(
series,
labels=None,
axis=0,
index=None,
columns=None,
level=None,
inplace=False,
errors="raise",
):
"""
Return Series with specified index labels removed.
Remove elements of a Series based on specifying the index labels.
When using a multi-index, labels... |
Return Series with specified index labels removed.
Remove elements of a Series based on specifying the index labels.
When using a multi-index, labels on different levels can be removed
by specifying the level.
Parameters
----------
labels : single label or list-like
Index labels t... | series_drop | python | mars-project/mars | mars/dataframe/base/drop.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/drop.py | Apache-2.0 |
def series_drop_duplicates(series, keep="first", inplace=False, method="auto"):
"""
Return Series with duplicate values removed.
Parameters
----------
keep : {'first', 'last', ``False``}, default 'first'
Method to handle dropping duplicates:
- 'first' : Drop duplicates except for t... |
Return Series with duplicate values removed.
Parameters
----------
keep : {'first', 'last', ``False``}, default 'first'
Method to handle dropping duplicates:
- 'first' : Drop duplicates except for the first occurrence.
- 'last' : Drop duplicates except for the last occurrence.... | series_drop_duplicates | python | mars-project/mars | mars/dataframe/base/drop_duplicates.py | https://github.com/mars-project/mars/blob/master/mars/dataframe/base/drop_duplicates.py | Apache-2.0 |
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