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| package
stringlengths 2
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⌀ | name
stringlengths 1
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| docstring
stringlengths 0
281k
⌀ | code
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⌀ | embed_func_code
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28,797 | ipytextual.driver | on_meta | Process meta information.
Args:
packet_type: The type of the packet.
payload: meta dict.
| def on_meta(self, packet_type: str, payload: dict) -> None:
"""Process meta information.
Args:
packet_type: The type of the packet.
payload: meta dict.
"""
if packet_type == "resize":
self._size = (payload["width"], payload["height"])
size = Size(*self._size)
self._app.post_message(events.Resize(size, size))
elif packet_type == "quit":
self._app.post_message(messages.ExitApp())
elif packet_type == "exit":
raise _ExitInput()
| (self, packet_type: str, payload: dict) -> NoneType | [
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|
28,798 | textual.driver | process_event | Perform additional processing on an event, prior to sending.
Args:
event: An event to send.
| def process_event(self, event: events.Event) -> None:
"""Perform additional processing on an event, prior to sending.
Args:
event: An event to send.
"""
# NOTE: This runs in a thread.
# Avoid calling methods on the app.
event.set_sender(self._app)
if self.cursor_origin is None:
offset_x = 0
offset_y = 0
else:
offset_x, offset_y = self.cursor_origin
if isinstance(event, events.MouseEvent):
event.x -= offset_x
event.y -= offset_y
event.screen_x -= offset_x
event.screen_y -= offset_y
if isinstance(event, events.MouseDown):
if event.button:
self._down_buttons.append(event.button)
elif isinstance(event, events.MouseUp):
if event.button and event.button in self._down_buttons:
self._down_buttons.remove(event.button)
elif isinstance(event, events.MouseMove):
if (
self._down_buttons
and not event.button
and self._last_move_event is not None
):
# Deduplicate self._down_buttons while preserving order.
buttons = list(dict.fromkeys(self._down_buttons).keys())
self._down_buttons.clear()
move_event = self._last_move_event
for button in buttons:
self.send_event(
MouseUp(
x=move_event.x,
y=move_event.y,
delta_x=0,
delta_y=0,
button=button,
shift=event.shift,
meta=event.meta,
ctrl=event.ctrl,
screen_x=move_event.screen_x,
screen_y=move_event.screen_y,
style=event.style,
)
)
self._last_move_event = event
self.send_event(event)
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|
28,799 | ipytextual.driver | process_input | Wait for input and dispatch events. | def stop_application_mode(self) -> None:
"""Stop application mode, restore state."""
self.exit_event.set()
self.write_meta({"type": "exit"})
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|
28,800 | textual.driver | resume_application_mode | Resume application mode.
Used to resume application mode after it has been previously
suspended.
| def resume_application_mode(self) -> None:
"""Resume application mode.
Used to resume application mode after it has been previously
suspended.
"""
self.start_application_mode()
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|
28,801 | textual.driver | send_event | Send an event to the target app.
Args:
event: An event.
| def send_event(self, event: events.Event) -> None:
"""Send an event to the target app.
Args:
event: An event.
"""
asyncio.run_coroutine_threadsafe(
self._app._post_message(event), loop=self._loop
)
| (self, event: textual.events.Event) -> NoneType | [
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|
28,802 | ipytextual.driver | start_application_mode | Start application mode. | def start_application_mode(self) -> None:
"""Start application mode."""
loop = asyncio.get_running_loop()
def do_exit() -> None:
"""Callback to force exit."""
asyncio.run_coroutine_threadsafe(
self._app._post_message(messages.ExitApp()), loop=loop
)
if not WINDOWS:
for _signal in (signal.SIGINT, signal.SIGTERM):
loop.add_signal_handler(_signal, do_exit)
self._stdout_queue.put_nowait(b"__GANGLION__\n")
self.write("\x1b[?1049h") # Alt screen
self._enable_mouse_support()
self.write("\x1b[?25l") # Hide cursor
self.write("\033[?1003h\n")
size = Size(80, 24) if self._size is None else Size(*self._size)
event = events.Resize(size, size)
asyncio.run_coroutine_threadsafe(
self._app._post_message(event),
loop=loop,
)
self._request_terminal_sync_mode_support()
self._enable_bracketed_paste()
self.flush()
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|
28,803 | ipytextual.driver | stop_application_mode | Stop application mode, restore state. | def stop_application_mode(self) -> None:
"""Stop application mode, restore state."""
self.exit_event.set()
self.write_meta({"type": "exit"})
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|
28,804 | textual.driver | suspend_application_mode | Suspend application mode.
Used to suspend application mode and allow uninhibited access to the
terminal.
| def suspend_application_mode(self) -> None:
"""Suspend application mode.
Used to suspend application mode and allow uninhibited access to the
terminal.
"""
self.stop_application_mode()
self.close()
| (self) -> NoneType | [
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|
28,805 | ipytextual.driver | write | Write data to the output device.
Args:
data: Raw data.
| def write(self, data: str) -> None:
"""Write data to the output device.
Args:
data: Raw data.
"""
data_bytes = data.encode("utf-8")
self._stdout_queue.put_nowait(b"D%s%s" % (len(data_bytes).to_bytes(4, "big"), data_bytes))
| (self, data: str) -> NoneType | [
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|
28,806 | ipytextual.driver | write_meta | Write meta to the controlling process (i.e. textual-web)
Args:
data: Meta dict.
| def write_meta(self, data: dict[str, object]) -> None:
"""Write meta to the controlling process (i.e. textual-web)
Args:
data: Meta dict.
"""
meta_bytes = json.dumps(data).encode("utf-8", errors="ignore")
self._stdout_queue.put_nowait(b"M%s%s" % (len(meta_bytes).to_bytes(4, "big"), meta_bytes))
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|
28,807 | ipytextual.widget | Widget | null | class Widget(AnyWidget):
_esm = bundler_output_dir / "index.js"
_data_from_textual = Bytes().tag(sync=True)
_data_to_textual = Unicode().tag(sync=True)
_cols = Int(80).tag(sync=True)
_rows = Int(24).tag(sync=True)
_ready = Bool().tag(sync=True)
def __init__(self, app, cols: int | None = None, rows: int | None = None, *args, **kwargs):
super().__init__(*args, **kwargs)
self._app = app
if cols is not None:
self._cols = cols
SIZE[0] = cols
if rows is not None:
self._rows = rows
SIZE[1] = rows
self._data_from_textual_queue = asyncio.Queue()
self._data_to_textual_queue = asyncio.Queue()
self._ready_event = asyncio.Event()
self._tasks = [
asyncio.create_task(self._run()),
asyncio.create_task(self._send_data()),
asyncio.create_task(self._recv_data()),
]
self.observe(self._observe_cols, names=["_cols"])
self.observe(self._observe_rows, names=["_rows"])
self.observe(self._observe_ready, names=["_ready"])
self.observe(self._observe_data_to_textual, names=["_data_to_textual"])
def _observe_data_to_textual(self, change):
data = bytes(change["new"], "utf8")
self._data_to_textual_queue.put_nowait(data)
async def _send_data(self):
await self._ready_event.wait()
while True:
data = await self._data_from_textual_queue.get()
self._data_from_textual = data
async def _recv_data(self):
while True:
data = await self._data_to_textual_queue.get()
packet_type = b"D"
packet = b"%s%s%s" % (packet_type, len(data).to_bytes(4, "big"), data)
self._app._driver._stdin_queue.put_nowait(packet)
def _observe_ready(self, change):
self._ready_event.set()
def _observe_cols(self, change):
SIZE[0] = change["new"]
def _observe_rows(self, change):
SIZE[1] = change["new"]
async def _run(self):
self._tasks.append(asyncio.create_task(self._app.run_async()))
while True:
if self._app._driver is not None:
break
await asyncio.sleep(0)
for _ in range(10):
line = []
while True:
data = await self._app._driver._stdout_queue.get()
line.append(data)
if data[-1] == 10: # "\n"
break
line = b"".join(line)
if not line:
break
if line == b"__GANGLION__\n":
ready = True
break
if ready:
META = 77 # b"M"
DATA = 68 # b"D"
while True:
data = await self._app._driver._stdout_queue.get()
type_bytes = data[0]
size_bytes = data[1:5]
size = int.from_bytes(size_bytes, "big")
data = data[5:5 + size]
if type_bytes == DATA:
self._data_from_textual_queue.put_nowait(data)
elif type_bytes == META:
meta_data = json.loads(data)
#if meta_data.get("type") == "exit":
# await self.send_meta({"type": "exit"})
#else:
# await on_meta(json.loads(data))
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|
28,812 | ipytextual.widget | __init__ | null | def __init__(self, app, cols: int | None = None, rows: int | None = None, *args, **kwargs):
super().__init__(*args, **kwargs)
self._app = app
if cols is not None:
self._cols = cols
SIZE[0] = cols
if rows is not None:
self._rows = rows
SIZE[1] = rows
self._data_from_textual_queue = asyncio.Queue()
self._data_to_textual_queue = asyncio.Queue()
self._ready_event = asyncio.Event()
self._tasks = [
asyncio.create_task(self._run()),
asyncio.create_task(self._send_data()),
asyncio.create_task(self._recv_data()),
]
self.observe(self._observe_cols, names=["_cols"])
self.observe(self._observe_rows, names=["_rows"])
self.observe(self._observe_ready, names=["_ready"])
self.observe(self._observe_data_to_textual, names=["_data_to_textual"])
| (self, app, cols: Optional[int] = None, rows: Optional[int] = None, *args, **kwargs) | [
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|
28,828 | ipytextual.widget | _observe_cols | null | def _observe_cols(self, change):
SIZE[0] = change["new"]
| (self, change) | [
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|
28,829 | ipytextual.widget | _observe_data_to_textual | null | def _observe_data_to_textual(self, change):
data = bytes(change["new"], "utf8")
self._data_to_textual_queue.put_nowait(data)
| (self, change) | [
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|
28,830 | ipytextual.widget | _observe_ready | null | def _observe_ready(self, change):
self._ready_event.set()
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|
28,831 | ipytextual.widget | _observe_rows | null | def _observe_rows(self, change):
SIZE[1] = change["new"]
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|
28,836 | anywidget.widget | _repr_mimebundle_ | null | def _repr_mimebundle_(self, **kwargs: dict) -> tuple[dict, dict] | None:
plaintext = repr(self)
if len(plaintext) > 110:
plaintext = plaintext[:110] + "…"
if self._view_name is None:
return None
return repr_mimebundle(model_id=self.model_id, repr_text=plaintext)
| (self, **kwargs: dict) -> tuple[dict, dict] | None | [
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|
28,877 | netsuitesdk.connection | NetSuiteConnection | null | class NetSuiteConnection:
def __init__(self, account, consumer_key, consumer_secret, token_key, token_secret,
caching=True, caching_timeout=2592000, caching_path=None,
search_body_fields_only=True, page_size: int = 100):
ns_client = NetSuiteClient(account=account, caching=caching, caching_timeout=caching_timeout,
caching_path=caching_path, search_body_fields_only=search_body_fields_only,
page_size=page_size)
ns_client.connect_tba(
consumer_key=consumer_key,
consumer_secret=consumer_secret,
token_key=token_key,
token_secret=token_secret
)
self.client = ns_client
self.accounts = Accounts(ns_client)
self.billing_accounts = BillingAccount(ns_client)
self.classifications = Classifications(ns_client)
self.departments = Departments(ns_client)
self.currencies = Currencies(ns_client)
self.locations = Locations(ns_client)
self.vendor_bills = VendorBills(ns_client)
self.vendor_credits = VendorCredits(ns_client)
self.vendors = Vendors(ns_client)
self.subsidiaries = Subsidiaries(ns_client)
self.journal_entries = JournalEntries(ns_client)
self.adv_inter_company_journal_entries = AdvInterCompanyJournalEntries(ns_client)
self.employees = Employees(ns_client)
self.expense_reports = ExpenseReports(ns_client)
self.folders = Folders(ns_client)
self.files = Files(ns_client)
self.expense_categories = ExpenseCategory(ns_client)
self.custom_lists = CustomLists(ns_client)
self.custom_segments = CustomSegments(ns_client)
self.custom_records = CustomRecords(ns_client)
self.custom_record_types = CustomRecordTypes(ns_client)
self.customers = Customers(ns_client)
self.projects = Projects(ns_client)
self.vendor_payments = VendorPayments(ns_client)
self.invoices = Invoices(ns_client)
self.terms = Terms(ns_client)
self.tax_items = TaxItems(ns_client)
self.tax_groups = TaxGroups(ns_client)
self.credit_memos = CreditMemos(ns_client)
self.price_level = PriceLevel(ns_client)
self.usages = Usage(ns_client)
self.items = Items(ns_client)
| (account, consumer_key, consumer_secret, token_key, token_secret, caching=True, caching_timeout=2592000, caching_path=None, search_body_fields_only=True, page_size: int = 100) | [
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|
28,878 | netsuitesdk.connection | __init__ | null | def __init__(self, account, consumer_key, consumer_secret, token_key, token_secret,
caching=True, caching_timeout=2592000, caching_path=None,
search_body_fields_only=True, page_size: int = 100):
ns_client = NetSuiteClient(account=account, caching=caching, caching_timeout=caching_timeout,
caching_path=caching_path, search_body_fields_only=search_body_fields_only,
page_size=page_size)
ns_client.connect_tba(
consumer_key=consumer_key,
consumer_secret=consumer_secret,
token_key=token_key,
token_secret=token_secret
)
self.client = ns_client
self.accounts = Accounts(ns_client)
self.billing_accounts = BillingAccount(ns_client)
self.classifications = Classifications(ns_client)
self.departments = Departments(ns_client)
self.currencies = Currencies(ns_client)
self.locations = Locations(ns_client)
self.vendor_bills = VendorBills(ns_client)
self.vendor_credits = VendorCredits(ns_client)
self.vendors = Vendors(ns_client)
self.subsidiaries = Subsidiaries(ns_client)
self.journal_entries = JournalEntries(ns_client)
self.adv_inter_company_journal_entries = AdvInterCompanyJournalEntries(ns_client)
self.employees = Employees(ns_client)
self.expense_reports = ExpenseReports(ns_client)
self.folders = Folders(ns_client)
self.files = Files(ns_client)
self.expense_categories = ExpenseCategory(ns_client)
self.custom_lists = CustomLists(ns_client)
self.custom_segments = CustomSegments(ns_client)
self.custom_records = CustomRecords(ns_client)
self.custom_record_types = CustomRecordTypes(ns_client)
self.customers = Customers(ns_client)
self.projects = Projects(ns_client)
self.vendor_payments = VendorPayments(ns_client)
self.invoices = Invoices(ns_client)
self.terms = Terms(ns_client)
self.tax_items = TaxItems(ns_client)
self.tax_groups = TaxGroups(ns_client)
self.credit_memos = CreditMemos(ns_client)
self.price_level = PriceLevel(ns_client)
self.usages = Usage(ns_client)
self.items = Items(ns_client)
| (self, account, consumer_key, consumer_secret, token_key, token_secret, caching=True, caching_timeout=2592000, caching_path=None, search_body_fields_only=True, page_size: int = 100) | [
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|
28,879 | netsuitesdk.internal.exceptions | NetSuiteError | Exception raised for errors during login or other requests (like
get, getAll) to NetSuite. | class NetSuiteError(Exception):
"""Exception raised for errors during login or other requests (like
get, getAll) to NetSuite."""
def __init__(self, message, code=None):
"""
:param str message: Text describing the error
:param str code: Netsuite code specifying the exact error
Possible values are listed in
"""
self.message = message
self.code = code
def __str__(self):
if self.code is None:
return self.message
return 'code: {}, message: {}'.format(self.code, self.message)
| (message, code=None) | [
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|
28,880 | netsuitesdk.internal.exceptions | __init__ |
:param str message: Text describing the error
:param str code: Netsuite code specifying the exact error
Possible values are listed in
| def __init__(self, message, code=None):
"""
:param str message: Text describing the error
:param str code: Netsuite code specifying the exact error
Possible values are listed in
"""
self.message = message
self.code = code
| (self, message, code=None) | [
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|
28,881 | netsuitesdk.internal.exceptions | __str__ | null | def __str__(self):
if self.code is None:
return self.message
return 'code: {}, message: {}'.format(self.code, self.message)
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|
28,882 | netsuitesdk.internal.exceptions | NetSuiteLoginError | Exception raised for errors during login to NetSuite | class NetSuiteLoginError(NetSuiteError):
"""Exception raised for errors during login to NetSuite"""
pass
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|
28,885 | netsuitesdk.internal.exceptions | NetSuiteRateLimitError | Exception raised for errors during rate limit requests like get, search, .. | class NetSuiteRateLimitError(NetSuiteError):
"""Exception raised for errors during rate limit requests like get, search, .."""
pass
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|
28,888 | netsuitesdk.internal.exceptions | NetSuiteRequestError | Exception raised for errors during requests like get, search, .. | class NetSuiteRequestError(NetSuiteError):
"""Exception raised for errors during requests like get, search, .."""
pass
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|
28,891 | netsuitesdk.internal.exceptions | NetSuiteTypeError | Exception raised when requested an invalid netsuite type | class NetSuiteTypeError(NetSuiteError):
"""Exception raised when requested an invalid netsuite type"""
pass
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|
28,898 | jupyter_highlight_selected_word | _jupyter_nbextension_paths | null | def _jupyter_nbextension_paths():
# src & dest are os paths, and so must use os.path.sep to work correctly on
# Windows.
# In contrast, require is a requirejs path, and thus must use `/` as the
# path separator.
return [dict(
section='notebook',
# src is relative to current module
src=os.path.join('static', 'highlight_selected_word'),
# dest directory is in the `nbextensions/` namespace
dest='highlight_selected_word',
# require is also in the `nbextensions/` namespace
# must use / as path.sep
require='highlight_selected_word/main',
)]
| () | [
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|
28,900 | yampex.plot | Plotter |
I provide a Matplotlib C{Figure} with one or more time-vector and
XY subplots of Numpy vectors.
Construct an instance of me with the total number of subplots (to
be intelligently apportioned into one or more rows and columns)
or, with two constructor arguments, the number of columns followed
by the number of rows.
With the I{filePath} keyword, you can specify the file path of a
PNG file for me to create or overwrite with each call to L{show}.
You can set the I{width} and I{height} of the Figure with
constructor keywords, and (read-only) access them via my
properties of the same names. Or set my I{figSize} attribute (in a
subclass or with that constructor keyword) to a 2-sequence with
figure width and height. The default width and height is just shy
of the entire monitor size.
The dimensions are in inches, converted to pixels at 100 DPI,
unless they are both integers and either of them exceeds 75 (which
would equate to a huge 7,500 pixels). In that case, they are
considered to specify the pixel dimensions directly.
Use the "Agg" backend by supplying the constructor keyword
I{useAgg}. This works better for plotting to an image file, and is
selected automatically if you supply a I{filePath} to the
constructor. Be aware that, once selected, that backend will be
used for all instances of me. If you're using the "Agg" backend,
you should specify it the first time an instance is constructed.
Setting the I{verbose} keyword C{True} puts out a bit of info
about annotator positioning. Not for regular use.
Any other keywords you supply to the constructor are supplied to
the underlying Matplotlib plotting call for all
subplots.
Keep the API for L{OptsBase} handy, and maybe a copy of the
U{source<http://edsuom.com/yampex/yampex.plot.py>}, to see all the
plotting options you can set.
@ivar dims: A dict (actually, a subclass of L{Dims}) of sub-dicts
of the dimensions of various text objects, keyed first by
subplot index then the object name.
@ivar Nsp: The number of subplots defined thus far defined with
calls to my instance.
| class Plotter(OptsBase):
"""
I provide a Matplotlib C{Figure} with one or more time-vector and
XY subplots of Numpy vectors.
Construct an instance of me with the total number of subplots (to
be intelligently apportioned into one or more rows and columns)
or, with two constructor arguments, the number of columns followed
by the number of rows.
With the I{filePath} keyword, you can specify the file path of a
PNG file for me to create or overwrite with each call to L{show}.
You can set the I{width} and I{height} of the Figure with
constructor keywords, and (read-only) access them via my
properties of the same names. Or set my I{figSize} attribute (in a
subclass or with that constructor keyword) to a 2-sequence with
figure width and height. The default width and height is just shy
of the entire monitor size.
The dimensions are in inches, converted to pixels at 100 DPI,
unless they are both integers and either of them exceeds 75 (which
would equate to a huge 7,500 pixels). In that case, they are
considered to specify the pixel dimensions directly.
Use the "Agg" backend by supplying the constructor keyword
I{useAgg}. This works better for plotting to an image file, and is
selected automatically if you supply a I{filePath} to the
constructor. Be aware that, once selected, that backend will be
used for all instances of me. If you're using the "Agg" backend,
you should specify it the first time an instance is constructed.
Setting the I{verbose} keyword C{True} puts out a bit of info
about annotator positioning. Not for regular use.
Any other keywords you supply to the constructor are supplied to
the underlying Matplotlib plotting call for all
subplots.
Keep the API for L{OptsBase} handy, and maybe a copy of the
U{source<http://edsuom.com/yampex/yampex.plot.py>}, to see all the
plotting options you can set.
@ivar dims: A dict (actually, a subclass of L{Dims}) of sub-dicts
of the dimensions of various text objects, keyed first by
subplot index then the object name.
@ivar Nsp: The number of subplots defined thus far defined with
calls to my instance.
"""
ph = PlotterHolder()
fc = None
DPI = 100 # Don't change this, for reference only
_settings = {'title', 'xlabel', 'ylabel'}
figSize = None
# Flag to indicate if using Agg rendererer (for generating PNG files)
usingAgg = False
# Show warnings? (Not for regular use.)
verbose = False
@classmethod
def setupClass(cls, useAgg=False):
"""
Called by each instance of me during instantiation. Sets a
class-wide Matplotlib pyplot import the first time it's
called.
If any instance of me is using the Agg renderer, all instances
will.
"""
mpl = importlib.import_module("matplotlib")
if useAgg and not cls.usingAgg:
mpl.use('Agg')
cls.usingAgg = True
else:
try:
raise Exception(
"Neither GTK3Agg nor PyQt5Agg actually work consistently")
mpl.use('GTK3Agg')
except:
try:
mpl.use('tkagg')
except:
print("WARNING: Neither GTK3Agg nor tkagg available!")
if not getattr(cls, 'plt', None):
cls.plt = importlib.import_module("matplotlib.pyplot")
@classmethod
def showAll(cls):
"""
Calls L{show} for the figures generated by all instances of me.
"""
OK = cls.ph.doForAll('show', noShow=True)
if OK: cls.plt.show()
cls.ph.doForAll('clear')
# They should all have removed themselves now, but what the
# heck, clear it anyways
cls.ph.removeAll()
def __init__(self, *args, **kw):
"""
Constructor possibilities (not including keywords, except I{Nc}):
C{Plotter(Nc, Nr)}: Specify I{Nc} columns and I{Nr} rows.
C{Plotter(N)}: Specify up to I{N} subplots in optimal
arrangement of columns and rows.
C{Plotter(N, Nc=x)}: Specify up to I{N} columns subplots with
I{x} columns.
C{Plotter(Nc, Nr, V)}: Specify I{Nc} columns and I{Nr} rows,
with container object I{V}.
C{Plotter(Nc, Nr, V)}: Specify up to I{N} subplots in optimal
arrangement of columns and rows, with container object I{V}.
C{Plotter(N, V, Nc=x)}: Specify up to I{N} columns subplots
with I{x} columns, with container object I{V}.
@keyword filePath: Specify the path of a PNG file to be
created instead of a plot window being opened. (Implies
I{useAgg}.)
@keyword useAgg: Set C{True} to use the "Agg" backend, which
works better for creating image files. If you're going to
specify it for multiple plot images, do so the first time
an instance of me is constructed.
@keyword figSize: Set to a 2-sequence with figure width and
height if not using the default, which is just shy of your
entire monitor size. Dimensions are in inches, converted
to pixels at 100 DPI, unless both are integers and either
exceeds 75. Then they are considered to specify the pixel
dimensions directly.
@keyword width: Specify the figure width part of I{figSize}.
@keyword height: Specify the figure height part of I{figSize}.
@keyword h2: A single index, or a sequence or set containing
one or more indices, of any rows (starting with 0 for the
top row) that have twice the normal height. If an invalid
index is included, an exception will be raised.
@keyword w2: A single index, or a sequence or set containing
one or more indices, of any columns (starting with 0 for
the left column) that have twice the normal width. If an
invalid index is included, an exception will be raised.
"""
args, kw, N, self.Nc, self.Nr = self.parseArgs(*args, **kw)
self.V = args[0] if args else None
self.opts = Opts()
self.filePath = kw.pop('filePath', None)
if 'verbose' in kw: self.verbose = kw.pop('verbose')
useAgg = bool(self.filePath) or kw.pop('useAgg', False)
self.setupClass(useAgg=useAgg)
figSize = kw.pop('figSize', self.figSize)
if figSize is None:
if useAgg or screeninfo is None:
figSize = [10.0, 7.0]
else:
si = screeninfo.screeninfo.get_monitors()[0]
figSize = [
float(x)/self.DPI for x in (si.width-80, si.height-80)]
width = kw.pop('width', None)
if width: figSize[0] = width
height = kw.pop('height', None)
if height: figSize[1] = height
figSize = self._maybePixels(figSize)
self.fig = self.plt.figure(figsize=figSize)
self.figSize = figSize
self.sp = Subplotter(
self, N, self.Nc, self.Nr, kw.pop('h2', []), kw.pop('w2', []))
# The ID is an integer, not a reference to anything
self.ID = self.ph.add(self)
self.kw = kw
self.dims = Dims()
self.xlabels = {}
self.annotators = {}
self.adj = Adjuster(self)
self.reset()
@staticmethod
def parseArgs(*args, **kw):
"""
Parse the supplied I{args} and I{kw} for a constructor call.
Returns a 5-tuple with a revised args list and kw dict, the
number of subplots, the number of columns, and the number of
rows.
"""
N = args[0]
args = list(args[1:])
Nc = kw.pop('Nc', None)
if args and isinstance(args[0], int):
# Nc, Nr specified
if Nc:
raise ValueError(
"You can't specify Nc as both a second arg and keyword")
Nc = N
Nr = args.pop(0)
N = Nc*Nr
| (*args, **kw) | [
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|
28,901 | yampex.plot | __call__ |
In the next (perhaps first) subplot, or one whose index is
specified with keyword I{k}, plots the second supplied vector
(and any further ones) versus the first.
If you supply a container object that houses vectors and
provides access to them as items as the first argument, you
can supply vector names instead of the vectors themselves. The
container object must evaluate C{b in a} as C{True} if it
contains a vector with I{b}, and must return the vector with
C{a[b]}.
Many options can be set via the methods in L{OptsBase},
including a title, a list of plot markers and linestyles, and
a list of legend entries for the plots with those keywords.
Set I{useLabels} to C{True} to have annotation labels pointing
to each plot line instead of a legend, with text taken from
the legend list.
You can override my default plotter by specifying the name of
another one with the I{plotter} keyword, e.g.,
C{plotter="step"}. But the usual way to do that is to call the
corresponding method of my instance, e.g., C{sp.step(X, Y)}.
Any other keywords you supply to this call are supplied to the
underlying Matplotlib plotting call. (B{NOTE:} This is a
change from previous versions of Yampex where keywords to this
method were used to C{set_X} the axes, e.g., C{ylabel="foo"}
results in a C{set_ylabel("foo")} command to the C{axes}
object, for this subplot only. Use the new L{OptsBase.set}
command instead.)
Returns a L{SpecialAx} wrapper object for the C{Axes} object
created for the plot.
If you want to do everything with the next subplot on your
own, bit by bit, and only want a reference to its C{Axes}
object (still with special treatment via L{SpecialAx}) just
call this with no args.
For low-level Matplotlib operations, you can access the
underlying C{Axes} object via the returned L{SpecialAx}
object's I{ax} attribute. But none of its special features
will apply to what you do that way.
@keyword k: Set this to the integer index of the subplot you
want the supplied vectors plotted in if not in sequence.
@see: L{_doPlots}.
| def __call__(self, *args, **kw):
"""
In the next (perhaps first) subplot, or one whose index is
specified with keyword I{k}, plots the second supplied vector
(and any further ones) versus the first.
If you supply a container object that houses vectors and
provides access to them as items as the first argument, you
can supply vector names instead of the vectors themselves. The
container object must evaluate C{b in a} as C{True} if it
contains a vector with I{b}, and must return the vector with
C{a[b]}.
Many options can be set via the methods in L{OptsBase},
including a title, a list of plot markers and linestyles, and
a list of legend entries for the plots with those keywords.
Set I{useLabels} to C{True} to have annotation labels pointing
to each plot line instead of a legend, with text taken from
the legend list.
You can override my default plotter by specifying the name of
another one with the I{plotter} keyword, e.g.,
C{plotter="step"}. But the usual way to do that is to call the
corresponding method of my instance, e.g., C{sp.step(X, Y)}.
Any other keywords you supply to this call are supplied to the
underlying Matplotlib plotting call. (B{NOTE:} This is a
change from previous versions of Yampex where keywords to this
method were used to C{set_X} the axes, e.g., C{ylabel="foo"}
results in a C{set_ylabel("foo")} command to the C{axes}
object, for this subplot only. Use the new L{OptsBase.set}
command instead.)
Returns a L{SpecialAx} wrapper object for the C{Axes} object
created for the plot.
If you want to do everything with the next subplot on your
own, bit by bit, and only want a reference to its C{Axes}
object (still with special treatment via L{SpecialAx}) just
call this with no args.
For low-level Matplotlib operations, you can access the
underlying C{Axes} object via the returned L{SpecialAx}
object's I{ax} attribute. But none of its special features
will apply to what you do that way.
@keyword k: Set this to the integer index of the subplot you
want the supplied vectors plotted in if not in sequence.
@see: L{_doPlots}.
"""
# Do plotting for the previous call (if any)
self._doPlots()
if 'plotter' not in kw:
plotter = self._plotter
self._plotter = None
if plotter: kw.setdefault('plotter', plotter)
k = kw.pop('k', None)
ax = self.sp[k]
ax.helper.addCall(args, kw)
self.Nsp += 1
return ax
| (self, *args, **kw) | [
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|
28,902 | yampex.plot | __del__ |
Safely ensures that I am removed from the class-wide I{ph}
instance of L{PlotterHolder}.
| def __del__(self):
"""
Safely ensures that I am removed from the class-wide I{ph}
instance of L{PlotterHolder}.
"""
# Only an integer is passed to the call
self.ph.remove(self.ID)
# No new references were created, nothing retained
| (self) | [
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|
28,903 | yampex.plot | __enter__ |
Upon an outer context entry, sets up the first subplot with
cleared axes, preserves a copy of my global options, and
returns a reference to myself as a subplotting tool.
| def __enter__(self):
"""
Upon an outer context entry, sets up the first subplot with
cleared axes, preserves a copy of my global options, and
returns a reference to myself as a subplotting tool.
"""
# TODO: Allow my instance to be context-called again
#self.reset()
self.sp.setup()
self._isSubplot = True
self.opts.newLocal()
return self
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|
28,904 | yampex.plot | __exit__ |
Upon completion of context, turns minor ticks and grid on if
enabled for this subplot's axis, restores global (all
subplots) options.
If the Agg rendererer is not being used (for generating PNG
files), also sets a hook to adjust the subplot spacings and
annotation positions upon window resizing.
The args are just placeholders for the three args that
C{contextmanager} supplies at the end of context: I{exc_type},
I{exc_val}, I{exc_tb}. (None are useful here.)
@see: L{_doPlots}.
| def __exit__(self, *args):
"""
Upon completion of context, turns minor ticks and grid on if
enabled for this subplot's axis, restores global (all
subplots) options.
If the Agg rendererer is not being used (for generating PNG
files), also sets a hook to adjust the subplot spacings and
annotation positions upon window resizing.
The args are just placeholders for the three args that
C{contextmanager} supplies at the end of context: I{exc_type},
I{exc_val}, I{exc_tb}. (None are useful here.)
@see: L{_doPlots}.
"""
# Do the last (and perhaps only) call's plotting
self._doPlots()
self._isSubplot = False
self.opts.goGlobal()
if not self.usingAgg:
self.fig.canvas.mpl_connect('resize_event', self.subplots_adjust)
| (self, *args) | [
0.050893619656562805,
-0.026858536526560783,
0.02410656400024891,
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|
28,905 | yampex.plot | __getattr__ |
You can access plotting methods and a given subplot's plotting
options as attributes.
If you request a plotting method, you'll get an instance of me
with my I{_plotter} method set to I{name} first.
| def __getattr__(self, name):
"""
You can access plotting methods and a given subplot's plotting
options as attributes.
If you request a plotting method, you'll get an instance of me
with my I{_plotter} method set to I{name} first.
"""
if name in PLOTTER_NAMES:
self._plotter = name
return self
if name in self.opts:
return self.opts[name]
raise AttributeError(sub(
"No plotting option or attribute '{}'", name))
| (self, name) | [
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|
28,906 | yampex.plot | __init__ |
Constructor possibilities (not including keywords, except I{Nc}):
C{Plotter(Nc, Nr)}: Specify I{Nc} columns and I{Nr} rows.
C{Plotter(N)}: Specify up to I{N} subplots in optimal
arrangement of columns and rows.
C{Plotter(N, Nc=x)}: Specify up to I{N} columns subplots with
I{x} columns.
C{Plotter(Nc, Nr, V)}: Specify I{Nc} columns and I{Nr} rows,
with container object I{V}.
C{Plotter(Nc, Nr, V)}: Specify up to I{N} subplots in optimal
arrangement of columns and rows, with container object I{V}.
C{Plotter(N, V, Nc=x)}: Specify up to I{N} columns subplots
with I{x} columns, with container object I{V}.
@keyword filePath: Specify the path of a PNG file to be
created instead of a plot window being opened. (Implies
I{useAgg}.)
@keyword useAgg: Set C{True} to use the "Agg" backend, which
works better for creating image files. If you're going to
specify it for multiple plot images, do so the first time
an instance of me is constructed.
@keyword figSize: Set to a 2-sequence with figure width and
height if not using the default, which is just shy of your
entire monitor size. Dimensions are in inches, converted
to pixels at 100 DPI, unless both are integers and either
exceeds 75. Then they are considered to specify the pixel
dimensions directly.
@keyword width: Specify the figure width part of I{figSize}.
@keyword height: Specify the figure height part of I{figSize}.
@keyword h2: A single index, or a sequence or set containing
one or more indices, of any rows (starting with 0 for the
top row) that have twice the normal height. If an invalid
index is included, an exception will be raised.
@keyword w2: A single index, or a sequence or set containing
one or more indices, of any columns (starting with 0 for
the left column) that have twice the normal width. If an
invalid index is included, an exception will be raised.
| def __init__(self, *args, **kw):
"""
Constructor possibilities (not including keywords, except I{Nc}):
C{Plotter(Nc, Nr)}: Specify I{Nc} columns and I{Nr} rows.
C{Plotter(N)}: Specify up to I{N} subplots in optimal
arrangement of columns and rows.
C{Plotter(N, Nc=x)}: Specify up to I{N} columns subplots with
I{x} columns.
C{Plotter(Nc, Nr, V)}: Specify I{Nc} columns and I{Nr} rows,
with container object I{V}.
C{Plotter(Nc, Nr, V)}: Specify up to I{N} subplots in optimal
arrangement of columns and rows, with container object I{V}.
C{Plotter(N, V, Nc=x)}: Specify up to I{N} columns subplots
with I{x} columns, with container object I{V}.
@keyword filePath: Specify the path of a PNG file to be
created instead of a plot window being opened. (Implies
I{useAgg}.)
@keyword useAgg: Set C{True} to use the "Agg" backend, which
works better for creating image files. If you're going to
specify it for multiple plot images, do so the first time
an instance of me is constructed.
@keyword figSize: Set to a 2-sequence with figure width and
height if not using the default, which is just shy of your
entire monitor size. Dimensions are in inches, converted
to pixels at 100 DPI, unless both are integers and either
exceeds 75. Then they are considered to specify the pixel
dimensions directly.
@keyword width: Specify the figure width part of I{figSize}.
@keyword height: Specify the figure height part of I{figSize}.
@keyword h2: A single index, or a sequence or set containing
one or more indices, of any rows (starting with 0 for the
top row) that have twice the normal height. If an invalid
index is included, an exception will be raised.
@keyword w2: A single index, or a sequence or set containing
one or more indices, of any columns (starting with 0 for
the left column) that have twice the normal width. If an
invalid index is included, an exception will be raised.
"""
args, kw, N, self.Nc, self.Nr = self.parseArgs(*args, **kw)
self.V = args[0] if args else None
self.opts = Opts()
self.filePath = kw.pop('filePath', None)
if 'verbose' in kw: self.verbose = kw.pop('verbose')
useAgg = bool(self.filePath) or kw.pop('useAgg', False)
self.setupClass(useAgg=useAgg)
figSize = kw.pop('figSize', self.figSize)
if figSize is None:
if useAgg or screeninfo is None:
figSize = [10.0, 7.0]
else:
si = screeninfo.screeninfo.get_monitors()[0]
figSize = [
float(x)/self.DPI for x in (si.width-80, si.height-80)]
width = kw.pop('width', None)
if width: figSize[0] = width
height = kw.pop('height', None)
if height: figSize[1] = height
figSize = self._maybePixels(figSize)
self.fig = self.plt.figure(figsize=figSize)
self.figSize = figSize
self.sp = Subplotter(
self, N, self.Nc, self.Nr, kw.pop('h2', []), kw.pop('w2', []))
# The ID is an integer, not a reference to anything
self.ID = self.ph.add(self)
self.kw = kw
self.dims = Dims()
self.xlabels = {}
self.annotators = {}
self.adj = Adjuster(self)
self.reset()
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|
28,907 | yampex.plot | _doPlots |
This gets called by L{__call__} at the beginning of each call to
my subplot-context instance, and by L{__exit__} when subplot
context ends, to do all the plotting for the previous subplot.
Adds minor ticks and a grid, depending on the subplot-specific
options. Then calls L{Opts.newLocal} on my I{opts} to create a
new set of local options.
| def _doPlots(self):
"""
This gets called by L{__call__} at the beginning of each call to
my subplot-context instance, and by L{__exit__} when subplot
context ends, to do all the plotting for the previous subplot.
Adds minor ticks and a grid, depending on the subplot-specific
options. Then calls L{Opts.newLocal} on my I{opts} to create a
new set of local options.
"""
ax = self.sp.ax
if ax: ax.helper.doPlots()
# Setting calls now use new local options
self.opts.newLocal()
| (self) | [
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|
28,908 | yampex.plot | _maybePixels |
Considers the supplied I{figSize} to be in pixels if both its
elements are integers and at least one of them exceeds 75. In
that case, scales it down by DPI.
Returns the figSize in inches.
| def _maybePixels(self, figSize):
"""
Considers the supplied I{figSize} to be in pixels if both its
elements are integers and at least one of them exceeds 75. In
that case, scales it down by DPI.
Returns the figSize in inches.
"""
bigDim = False
newFigSize = []
for dim in figSize:
if not isinstance(dim, int):
# Not both integers, use original
return figSize
if dim > 75: bigDim = True
# Convert from (presumed) pixels to Matplotlib's stupid inches
newFigSize.append(float(dim)/self.DPI)
# Use the converted dims unless neither was > 75
return newFigSize if bigDim else figSize
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|
28,909 | yampex.options | add_annotation |
Adds the text supplied after index I{k} at an annotation of the
plotted vector.
If there is more than one vector being plotted within the same
subplot, you can have the annotation refer to a vector other
than the first one by setting the keyword I{kVector} to its
non-zero index.
The annotation points to the point at index I{k} of the
plotted vector, unless I{k} is a float. In that case, it
points to the point where the vector is closest to that float
value.
You may include a text prototype with format-substitution args
following it, or just supply the final text string with no
further arguments. If you supply just an integer or float
value with no further arguments, it will be formatted
reasonably.
You can set the annotation to the first y-axis value that
crosses a float value of I{k} by setting I{y} C{True}.
@see: L{clear_annotations}.
| def add_annotation(self, k, proto, *args, **kw):
"""
Adds the text supplied after index I{k} at an annotation of the
plotted vector.
If there is more than one vector being plotted within the same
subplot, you can have the annotation refer to a vector other
than the first one by setting the keyword I{kVector} to its
non-zero index.
The annotation points to the point at index I{k} of the
plotted vector, unless I{k} is a float. In that case, it
points to the point where the vector is closest to that float
value.
You may include a text prototype with format-substitution args
following it, or just supply the final text string with no
further arguments. If you supply just an integer or float
value with no further arguments, it will be formatted
reasonably.
You can set the annotation to the first y-axis value that
crosses a float value of I{k} by setting I{y} C{True}.
@see: L{clear_annotations}.
"""
kVector = None
if args:
if "{" not in proto:
# Called with kVector as a third argument, per API of
# commit 15c49b and earlier
text = proto
kVector = args[0]
else: text = sub(proto, *args)
elif isinstance(proto, int):
text = sub("{:+d}", proto)
elif isinstance(proto, float):
text = sub("{:+.4g}", proto)
else: text = proto
if kVector is None:
kVector = kw.get('kVector', 0)
y = kw.get('y', False)
self.opts['annotations'].append((k, text, kVector, y))
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|
28,910 | yampex.options | add_axvline |
Adds a vertical dashed line at the data point with integer index
I{k}. You can use negative indices, e.g., -1 for the last data
point.
To place the dashed line at (or at least near) an x value, use
a float for I{k}.
| def add_axvline(self, k):
"""
Adds a vertical dashed line at the data point with integer index
I{k}. You can use negative indices, e.g., -1 for the last data
point.
To place the dashed line at (or at least near) an x value, use
a float for I{k}.
"""
self.opts['axvlines'].append(k)
| (self, k) | [
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|
28,911 | yampex.options | add_color |
Appends the supplied line style character to the list of colors
being used.
The first and possibly only color in the list applies to the
first vector plotted within a given subplot. If there are
additional vectors being plotted within a given subplot (three
or more arguments supplied when calling the L{Plotter} object,
more than the number of colors that have been added to the
list, then the colors rotate back to the first one in the
list.
If you never call this and don't set your own list with a call
to L{set_colors}, a default color list is used.
If no color code or C{None} is supplied, reverts to the
default color scheme.
| def add_color(self, x=None):
"""
Appends the supplied line style character to the list of colors
being used.
The first and possibly only color in the list applies to the
first vector plotted within a given subplot. If there are
additional vectors being plotted within a given subplot (three
or more arguments supplied when calling the L{Plotter} object,
more than the number of colors that have been added to the
list, then the colors rotate back to the first one in the
list.
If you never call this and don't set your own list with a call
to L{set_colors}, a default color list is used.
If no color code or C{None} is supplied, reverts to the
default color scheme.
"""
if x is None:
self.opts['colors'] = []
return
self.opts['colors'].append(x)
| (self, x=None) | [
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|
28,912 | yampex.options | add_legend |
Adds the supplied format-substituted text to the list of legend
entries.
You may include a text I{proto}type with format-substitution
I{args}, or just supply the final text string with no further
arguments.
@see: L{clear_legend}, L{set_legend}.
| def add_legend(self, proto, *args):
"""
Adds the supplied format-substituted text to the list of legend
entries.
You may include a text I{proto}type with format-substitution
I{args}, or just supply the final text string with no further
arguments.
@see: L{clear_legend}, L{set_legend}.
"""
text = sub(proto, *args)
self.opts['legend'].append(text)
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|
28,913 | yampex.options | add_line |
Appends the supplied line style string(s) to my list of line
styles being used.
The first and possibly only line style in the list applies to
the first vector plotted within a given subplot. If there is
an additional vector being plotted within a given subplot
(three or more arguments supplied when calling the L{Plotter}
object, and more than one line style has been added to the
list, then the second line style in the list is used for that
second vector plot line. Otherwise, the first (only) line
style in the list is used for the second plot line as well.
If no line style character or C{None} is supplied, clears the
list of line styles.
@keyword width: A I{width} for the line(s). If you want
separate line widths for different lines, call this
repeatedly with each seperate line style and width. (You
can make the width a second argument of a 2-arg call,
after a single line style string.)
| def add_line(self, *args, **kw):
"""
Appends the supplied line style string(s) to my list of line
styles being used.
The first and possibly only line style in the list applies to
the first vector plotted within a given subplot. If there is
an additional vector being plotted within a given subplot
(three or more arguments supplied when calling the L{Plotter}
object, and more than one line style has been added to the
list, then the second line style in the list is used for that
second vector plot line. Otherwise, the first (only) line
style in the list is used for the second plot line as well.
If no line style character or C{None} is supplied, clears the
list of line styles.
@keyword width: A I{width} for the line(s). If you want
separate line widths for different lines, call this
repeatedly with each seperate line style and width. (You
can make the width a second argument of a 2-arg call,
after a single line style string.)
"""
if not args or args[0] is None:
self.opts['linestyles'] = []
return
if len(args) == 2 and not isinstance(args[1], str):
width = args[1]
args = [args[0]]
else: width = kw.get('width', None)
for x in args:
self.opts['linestyles'].append((x, width))
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|
28,914 | yampex.options | add_lines |
Alias for L{add_line}.
| def add_lines(self, *args, **kw):
"""
Alias for L{add_line}.
"""
return self.add_line(*args, **kw)
| (self, *args, **kw) | [
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|
28,915 | yampex.options | add_marker |
Appends the supplied marker style character to the list of markers
being used.
The first and possibly only marker in the list applies to the
first vector plotted within a given subplot. If there is an
additional vector being plotted within a given subplot (three
or more arguments supplied when calling the L{Plotter} object,
and more than one marker has been added to the list, then the
second marker in the list is used for that second vector plot
line. Otherwise, the first (only) marker in the list is used
for the second plot line as well.
You can specify a I{size} for the marker as well.
| def add_marker(self, x, size=None):
"""
Appends the supplied marker style character to the list of markers
being used.
The first and possibly only marker in the list applies to the
first vector plotted within a given subplot. If there is an
additional vector being plotted within a given subplot (three
or more arguments supplied when calling the L{Plotter} object,
and more than one marker has been added to the list, then the
second marker in the list is used for that second vector plot
line. Otherwise, the first (only) marker in the list is used
for the second plot line as well.
You can specify a I{size} for the marker as well.
"""
self.opts['markers'].append((x, size))
| (self, x, size=None) | [
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|
28,916 | yampex.options | add_plotKeyword |
Add a keyword to the underlying Matplotlib plotting call.
@see: L{clear_plotKeywords}.
| def add_plotKeyword(self, name, value):
"""
Add a keyword to the underlying Matplotlib plotting call.
@see: L{clear_plotKeywords}.
"""
self.opts['plotKeywords'][name] = value
| (self, name, value) | [
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|
28,917 | yampex.options | add_textBox |
Adds a text box to the specified I{location} of the subplot.
Here are the locations (you can use the integer instead of the
abbreviation if you want), along with their text alignments:
1. "NE": right, top.
2. "E": right, middle.
3. "SE": right, bottom.
4. "S": middle, bottom.
5. "SW": left, bottom.
6. "W": left, middle.
7. "NW": left, top.
8. "N": middle, top.
9. "M": middle of plot.
If there's already a text box at the specified location, a
line will be added to it.
You may include a text I{proto}type with format-substitution
I{args}, or just supply the final text string with no further
arguments.
@see: L{clear_textBoxes}.
| def add_textBox(self, location, proto, *args):
"""
Adds a text box to the specified I{location} of the subplot.
Here are the locations (you can use the integer instead of the
abbreviation if you want), along with their text alignments:
1. "NE": right, top.
2. "E": right, middle.
3. "SE": right, bottom.
4. "S": middle, bottom.
5. "SW": left, bottom.
6. "W": left, middle.
7. "NW": left, top.
8. "N": middle, top.
9. "M": middle of plot.
If there's already a text box at the specified location, a
line will be added to it.
You may include a text I{proto}type with format-substitution
I{args}, or just supply the final text string with no further
arguments.
@see: L{clear_textBoxes}.
"""
text = sub(proto, *args)
prevText = self.opts['textBoxes'].get(location, None)
if prevText:
text = prevText + "\n" + text
self.opts['textBoxes'][location] = text.strip()
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|
28,918 | yampex.plot | clear |
Clears my figure with all annotators and artist
dimensions. Removes my ID from the class-wide
L{PlotterHolder}.
| def clear(self):
"""
Clears my figure with all annotators and artist
dimensions. Removes my ID from the class-wide
L{PlotterHolder}.
"""
try:
# This causes stupid errors with tkagg, so just wrap it in
# try-except for now
self.fig.clear()
except: pass
self.annotators.clear()
self.dims.clear()
self.ph.remove(self.ID)
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|
28,919 | yampex.options | clear_annotations |
Clears the list of annotations.
| def clear_annotations(self):
"""
Clears the list of annotations.
"""
self.opts['annotations'] = []
| (self) | [
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|
28,920 | yampex.options | clear_legend |
Clears the list of legend entries.
| def clear_legend(self):
"""
Clears the list of legend entries.
"""
self.opts['legend'] = []
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|
28,921 | yampex.options | clear_plotKeywords |
Clears all keywords for this subplot.
| def clear_plotKeywords(self):
"""
Clears all keywords for this subplot.
"""
self.opts['plotKeywords'].clear()
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|
28,922 | yampex.options | clear_textBoxes |
Clears the dict of text boxes.
| def clear_textBoxes(self):
"""
Clears the dict of text boxes.
"""
self.opts['textBoxes'].clear()
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|
28,923 | yampex.plot | doKeywords |
Applies line style/marker/color settings as keywords for this
vector, except for options already set with keywords.
Then applies plot keywords set via the set_plotKeyword call
and then, with higher priority, those set via the constructor,
if they don't conflict with explicitly set keywords to this
call which takes highest priority.
Returns the new kw dict.
| def doKeywords(self, kVector, kw):
"""
Applies line style/marker/color settings as keywords for this
vector, except for options already set with keywords.
Then applies plot keywords set via the set_plotKeyword call
and then, with higher priority, those set via the constructor,
if they don't conflict with explicitly set keywords to this
call which takes highest priority.
Returns the new kw dict.
"""
kw = self.opts.kwModified(kVector, kw)
for thisDict in (self.kw, self.plotKeywords):
for name in thisDict:
if name not in kw:
kw[name] = thisDict[name]
return kw
| (self, kVector, kw) | [
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]
|
28,924 | yampex.plot | doSettings |
Does C{set_XXX} calls on the C{Axes} object for the subplot at
index I{k}.
| def doSettings(self, k):
"""
Does C{set_XXX} calls on the C{Axes} object for the subplot at
index I{k}.
"""
def bbAdd(textObj):
dims = self.adj.tsc.dims(textObj)
self.dims.setDims(k, name, dims)
for name in self._settings:
value = self.opts[name]
if not value: continue
fontsize = self.fontsize(name, None)
kw = {'size':fontsize} if fontsize else {}
bbAdd(self.sp.set_(name, value, **kw))
if name == 'xlabel':
self.xlabels[k] = value
continue
settings = self.opts['settings']
for name in settings:
bbAdd(self.sp.set_(name, settings[name]))
| (self, k) | [
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|
28,925 | yampex.plot | done |
Call this after a call to L{start} when done plotting. This is the
alternative to the context-manager way of using me.
B{Note}: If you don't call this to close out a plotting
session with the alternative method, the last subplot will not
get drawn!
@see: L{start}, which gets called to start the
alternative-method plotting session.
| def done(self):
"""
Call this after a call to L{start} when done plotting. This is the
alternative to the context-manager way of using me.
B{Note}: If you don't call this to close out a plotting
session with the alternative method, the last subplot will not
get drawn!
@see: L{start}, which gets called to start the
alternative-method plotting session.
"""
if not self._isSubplot:
raise Exception("You are not in a subplotting context!")
self.__exit__()
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|
28,926 | yampex.plot | fontsize | null | def fontsize(self, name, default=None):
return self.opts['fontsizes'].get(name, default)
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|
28,927 | yampex.plot | parseArgs |
Parse the supplied I{args} and I{kw} for a constructor call.
Returns a 5-tuple with a revised args list and kw dict, the
number of subplots, the number of columns, and the number of
rows.
| @staticmethod
def parseArgs(*args, **kw):
"""
Parse the supplied I{args} and I{kw} for a constructor call.
Returns a 5-tuple with a revised args list and kw dict, the
number of subplots, the number of columns, and the number of
rows.
"""
N = args[0]
args = list(args[1:])
Nc = kw.pop('Nc', None)
if args and isinstance(args[0], int):
# Nc, Nr specified
if Nc:
raise ValueError(
"You can't specify Nc as both a second arg and keyword")
Nc = N
Nr = args.pop(0)
N = Nc*Nr
else:
# N specified
Nc = Nc if Nc else 3 if N > 6 else 2 if N > 3 else 1
Nr = int(np.ceil(float(N)/Nc))
return args, kw, N, Nc, Nr
| (*args, **kw) | [
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]
|
28,928 | yampex.options | plot |
Specifies a non-logarithmic regular plot, unless called with the
name of a different plot type.
| def plot(self, call="plot"):
"""
Specifies a non-logarithmic regular plot, unless called with the
name of a different plot type.
"""
if call not in PLOTTER_NAMES:
raise ValueError(sub("Unrecognized plot type '{}'", call))
self.opts['call'] = call
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|
28,929 | yampex.options | plot_bar |
Specifies a bar plot, unless called with C{False}.
| def plot_bar(self, yes=True):
"""
Specifies a bar plot, unless called with C{False}.
"""
self.opts['call'] = "bar" if yes else "plot"
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|
28,930 | yampex.options | plot_error |
Specifies an error bar plot, unless called with C{False}.
| def plot_error(self, yes=True):
"""
Specifies an error bar plot, unless called with C{False}.
"""
self.opts['call'] = "error" if yes else "plot"
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|
28,931 | yampex.options | plot_loglog |
Makes both axes logarithmic, unless called with C{False}.
| def plot_loglog(self, yes=True):
"""
Makes both axes logarithmic, unless called with C{False}.
"""
self.opts['call'] = "loglog" if yes else "plot"
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|
28,932 | yampex.options | plot_semilogx |
Makes x-axis logarithmic, unless called with C{False}.
| def plot_semilogx(self, yes=True):
"""
Makes x-axis logarithmic, unless called with C{False}.
"""
self.opts['call'] = "semilogx" if yes else "plot"
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|
28,933 | yampex.options | plot_semilogy |
Makes y-axis logarithmic, unless called with C{False}.
| def plot_semilogy(self, yes=True):
"""
Makes y-axis logarithmic, unless called with C{False}.
"""
self.opts['call'] = "semilogy" if yes else "plot"
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|
28,934 | yampex.options | plot_stem |
Specifies a stem plot, unless called with C{False}.
| def plot_stem(self, yes=True):
"""
Specifies a stem plot, unless called with C{False}.
"""
self.opts['call'] = "stem" if yes else "plot"
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|
28,935 | yampex.options | plot_step |
Specifies a step plot, unless called with C{False}.
| def plot_step(self, yes=True):
"""
Specifies a step plot, unless called with C{False}.
"""
self.opts['call'] = "step" if yes else "plot"
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|
28,936 | yampex.options | prevOpts |
Lets you use my previous local options (or the current ones, if
there are no previous ones) inside a context call.
| def add_annotation(self, k, proto, *args, **kw):
"""
Adds the text supplied after index I{k} at an annotation of the
plotted vector.
If there is more than one vector being plotted within the same
subplot, you can have the annotation refer to a vector other
than the first one by setting the keyword I{kVector} to its
non-zero index.
The annotation points to the point at index I{k} of the
plotted vector, unless I{k} is a float. In that case, it
points to the point where the vector is closest to that float
value.
You may include a text prototype with format-substitution args
following it, or just supply the final text string with no
further arguments. If you supply just an integer or float
value with no further arguments, it will be formatted
reasonably.
You can set the annotation to the first y-axis value that
crosses a float value of I{k} by setting I{y} C{True}.
@see: L{clear_annotations}.
"""
kVector = None
if args:
if "{" not in proto:
# Called with kVector as a third argument, per API of
# commit 15c49b and earlier
text = proto
kVector = args[0]
else: text = sub(proto, *args)
elif isinstance(proto, int):
text = sub("{:+d}", proto)
elif isinstance(proto, float):
text = sub("{:+.4g}", proto)
else: text = proto
if kVector is None:
kVector = kw.get('kVector', 0)
y = kw.get('y', False)
self.opts['annotations'].append((k, text, kVector, y))
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|
28,937 | yampex.plot | reset |
Clears everything out to start fresh.
| def reset(self):
"""
Clears everything out to start fresh.
"""
self.dims.clear()
self.xlabels.clear()
self.annotators.clear()
self._figTitle = None
self.tbmTitle = None
self._isSubplot = False
self._universal_xlabel = False
self._plotter = None
self.Nsp = 0
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|
28,938 | yampex.options | set |
Before this subplot is drawn, do a C{set_name=value} command to the
axes. You can call this method as many times as you like with
a different attribute I{name} and I{value}.
Use this method in place of calling the Plotter instance with
keywords. Now, such keywords are sent directly to the
underlying Matplotlib plotting call.
| def set(self, name, value):
"""
Before this subplot is drawn, do a C{set_name=value} command to the
axes. You can call this method as many times as you like with
a different attribute I{name} and I{value}.
Use this method in place of calling the Plotter instance with
keywords. Now, such keywords are sent directly to the
underlying Matplotlib plotting call.
"""
self.opts['settings'][name] = value
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|
28,939 | yampex.options | set_axisExact |
Forces the limits of the named axis ("x" or "y") to exactly the
data range, unless called with C{False}.
| def set_axisExact(self, axisName, yes=True):
"""
Forces the limits of the named axis ("x" or "y") to exactly the
data range, unless called with C{False}.
"""
self.opts['axisExact'][axisName] = yes
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|
28,940 | yampex.options | set_colors |
Sets the list of colors. Call with no args to clear the list and
revert to default color scheme.
Supply a list of color codes, either as a single argument or
with one entry per argument.
| def set_colors(self, *args):
"""
Sets the list of colors. Call with no args to clear the list and
revert to default color scheme.
Supply a list of color codes, either as a single argument or
with one entry per argument.
"""
if len(args) == 1 and hasattr(args[0], '__iter__'):
args = args[0]
self.opts['colors'] = list(args)
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|
28,941 | yampex.options | set_firstVectorTop |
Has the first dependent vector (the second argument to the
L{Plotter} object call) determine the top (maximum) of the
displayed plot boundary.
| def set_firstVectorTop(self):
"""
Has the first dependent vector (the second argument to the
L{Plotter} object call) determine the top (maximum) of the
displayed plot boundary.
"""
self.opts['firstVectorTop'] = True
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|
28,942 | yampex.options | set_fontsize |
Sets the I{fontsize} of the specified artist I{name}.
Recognized names are 'title', 'xlabel', 'ylabel', 'legend',
'annotations', and 'textbox'.
| def set_fontsize(self, name, fontsize):
"""
Sets the I{fontsize} of the specified artist I{name}.
Recognized names are 'title', 'xlabel', 'ylabel', 'legend',
'annotations', and 'textbox'.
"""
self.opts['fontsizes'][name] = fontsize
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|
28,943 | yampex.options | set_legend |
Sets the list of legend entries.
Supply a list of legend entries, either as a single argument
or with one entry per argument. You can set the I{fontsize}
keyword to the desired fontsize of the legend; the default is
'small'.
@see: L{add_legend}, L{clear_legend}.
| def set_legend(self, *args, **kw):
"""
Sets the list of legend entries.
Supply a list of legend entries, either as a single argument
or with one entry per argument. You can set the I{fontsize}
keyword to the desired fontsize of the legend; the default is
'small'.
@see: L{add_legend}, L{clear_legend}.
"""
if len(args) == 1 and hasattr(args[0], '__iter__'):
args = args[0]
self.opts['legend'] = list(args)
if 'fontsize' in kw:
self.opts['fontsizes']['legend'] = kw['fontsize']
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|
28,944 | yampex.options | set_tickSpacing |
Sets the major tick spacing for I{axisName} ("x" or "y"), and
minor tick spacing as well.
For each setting, an C{int} will set a maximum number of tick
intervals, and a C{float} will set a spacing between
intervals.
You can set I{minor} C{True} to have minor ticks set
automatically, or C{False} to have them turned off. (Major
ticks are set automatically by default, and cannot be turned
off.)
| def set_tickSpacing(self, axisName, major, minor=None):
"""
Sets the major tick spacing for I{axisName} ("x" or "y"), and
minor tick spacing as well.
For each setting, an C{int} will set a maximum number of tick
intervals, and a C{float} will set a spacing between
intervals.
You can set I{minor} C{True} to have minor ticks set
automatically, or C{False} to have them turned off. (Major
ticks are set automatically by default, and cannot be turned
off.)
"""
key = optkey(axisName, 'major')
self.opts['ticks'][key] = major
if minor is None: return
key = optkey(axisName, 'minor')
self.opts['ticks'][key] = minor
| (self, axisName, major, minor=None) | [
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|
28,945 | yampex.options | set_title |
Sets a title for all subplots (if called out of context) or for
just the present subplot (if called in context).
You may include a text I{proto}type with format-substitution
I{args}, or just supply the final text string with no further
arguments.
| def set_title(self, proto, *args):
"""
Sets a title for all subplots (if called out of context) or for
just the present subplot (if called in context).
You may include a text I{proto}type with format-substitution
I{args}, or just supply the final text string with no further
arguments.
"""
text = sub(proto, *args)
if self._isSubplot:
self.opts['title'] = text
else: self._figTitle = text
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|
28,946 | yampex.options | set_xlabel |
Sets the x-axis label.
Ignored if time-x mode has been activated with a call to
L{set_timex}. If called out of context, on the L{Plotter}
instance, this x-label is used for all subplots and only
appears in the last (bottom) subplot of each column of
subplots.
| def set_xlabel(self, x):
"""
Sets the x-axis label.
Ignored if time-x mode has been activated with a call to
L{set_timex}. If called out of context, on the L{Plotter}
instance, this x-label is used for all subplots and only
appears in the last (bottom) subplot of each column of
subplots.
"""
self.opts['xlabel'] = x
if not self._isSubplot:
self._universal_xlabel = True
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|
28,947 | yampex.options | set_ylabel |
Sets the y-axis label.
| def set_ylabel(self, x):
"""
Sets the y-axis label.
"""
self.opts['ylabel'] = x
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|
28,948 | yampex.options | set_zeroBottom |
Sets the bottom (minimum) of the Y-axis range to zero, unless
called with C{False}.
This is useful for plotting values that are never negative and
where zero is a meaningful absolute minimum.
| def set_zeroBottom(self, yes=True):
"""
Sets the bottom (minimum) of the Y-axis range to zero, unless
called with C{False}.
This is useful for plotting values that are never negative and
where zero is a meaningful absolute minimum.
"""
self.opts['zeroBottom'] = yes
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|
28,949 | yampex.options | set_zeroLine |
Draws a horizontal line at the specified I{y} value (default is
y=0) if the Y-axis range includes that value.
If y is C{None} or C{False}, clears any previously set line.
@keyword color: Set the line color (default: black).
@keyword linestyle: Set the line type (default: '--').
@keyword linewidth: Set the line width (default: 1).
| def set_zeroLine(self, y=0, color="black", linestyle='--', linewidth=1):
"""
Draws a horizontal line at the specified I{y} value (default is
y=0) if the Y-axis range includes that value.
If y is C{None} or C{False}, clears any previously set line.
@keyword color: Set the line color (default: black).
@keyword linestyle: Set the line type (default: '--').
@keyword linewidth: Set the line width (default: 1).
"""
self.opts['zeroLine'] = {
'y': y,
'color': color,
'linestyle': linestyle,
'linewidth': linewidth,
}
| (self, y=0, color='black', linestyle='--', linewidth=1) | [
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|
28,950 | yampex.plot | show |
Call this to show the figure with suplots after the last call to
my instance.
If I have a non-C{None} I{fc} attribute (which must reference
an instance of Qt's C{FigureCanvas}, then the FigureCanvas is
drawn instead of PyPlot doing a window show.
You can supply an open file-like object for PNG data to be
written to (instead of a Matplotlib Figure being displayed)
with the I{fh} keyword. (It's up to you to close the file
object.)
Or, with the I{filePath} keyword, you can specify the file
path of a PNG file for me to create or overwrite. (That
overrides any I{filePath} you set in the constructor.)
| def show(self, windowTitle=None, fh=None, filePath=None, noShow=False):
"""
Call this to show the figure with suplots after the last call to
my instance.
If I have a non-C{None} I{fc} attribute (which must reference
an instance of Qt's C{FigureCanvas}, then the FigureCanvas is
drawn instead of PyPlot doing a window show.
You can supply an open file-like object for PNG data to be
written to (instead of a Matplotlib Figure being displayed)
with the I{fh} keyword. (It's up to you to close the file
object.)
Or, with the I{filePath} keyword, you can specify the file
path of a PNG file for me to create or overwrite. (That
overrides any I{filePath} you set in the constructor.)
"""
try:
self.fig.tight_layout()
except ValueError as e:
if self.verbose:
proto = "WARNING: ValueError '{}' doing tight_layout "+\
"on {:.5g} x {:.5g} figure"
print((sub(proto, e.message, self.width, self.height)))
self.subplots_adjust()
# Calling plt.draw massively slows things down when generating
# plot images on Rpi. And without it, the (un-annotated) plot
# still updates!
if False and self.annotators:
# This is not actually run, see above comment
self.plt.draw()
for annotator in list(self.annotators.values()):
if self.verbose: annotator.setVerbose()
annotator.update()
if fh is None:
if not filePath:
filePath = self.filePath
if filePath:
fh = open(filePath, 'wb+')
if fh is None:
self.plt.draw()
if windowTitle: self.fig.canvas.set_window_title(windowTitle)
if self.fc is not None: self.fc.draw()
elif not noShow: self.plt.show()
else:
self.fig.savefig(fh, format='png')
self.plt.close()
if filePath is not None:
# Only close a file handle I opened myself
fh.close()
if not noShow: self.clear()
| (self, windowTitle=None, fh=None, filePath=None, noShow=False) | [
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|
28,951 | yampex.plot | start |
An alternative to the context-manager way of using me. Just call
this method and a reference to myself as a subplotting tool
will be returned.
Call L{done} when finished, which is the same thing as exiting
my subplotting context.
| def start(self):
"""
An alternative to the context-manager way of using me. Just call
this method and a reference to myself as a subplotting tool
will be returned.
Call L{done} when finished, which is the same thing as exiting
my subplotting context.
"""
if self._isSubplot:
raise Exception("You are already in a subplotting context!")
return self.__enter__()
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|
28,952 | yampex.plot | subplots_adjust |
Adjusts spacings.
| def subplots_adjust(self, *args):
"""
Adjusts spacings.
"""
dimThing = args[0] if args else self.fig.get_window_extent()
fWidth, fHeight = [getattr(dimThing, x) for x in ('width', 'height')]
self.adj.updateFigSize(fWidth, fHeight)
if self._figTitle:
kw = {
'm': 10,
'fontsize': self.fontsize('title', 14),
'alpha': 1.0,
'fDims': (fWidth, fHeight),
}
ax = self.fig.get_axes()[0]
if self.tbmTitle: self.tbmTitle.remove()
self.tbmTitle = TextBoxMaker(self.fig, **kw)("N", self._figTitle)
titleObj = self.tbmTitle.tList[0]
else: self.tbmTitle = titleObj = None
kw = self.adj(self._universal_xlabel, titleObj)
try:
self.fig.subplots_adjust(**kw)
except ValueError as e:
if self.verbose:
print((sub(
"WARNING: ValueError '{}' doing subplots_adjust({})",
e.message, ", ".join(
[sub("{}={}", x, kw[x]) for x in kw]))))
self.updateAnnotations()
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|
28,953 | yampex.plot | updateAnnotations |
Updates the positions of all annotations in an already-drawn plot.
When L{PlotHelper} calls this, it will supply the annotator
for its subplot.
| def updateAnnotations(self, annotator=None):
"""
Updates the positions of all annotations in an already-drawn plot.
When L{PlotHelper} calls this, it will supply the annotator
for its subplot.
"""
plt = self.plt
updated = False
if annotator is None:
for annotator in self.annotators.values():
if annotator.update():
updated = True
elif annotator.update(): updated = True
if updated:
# This raises a warning with newer matplotlib
#plt.pause(0.0001)
plt.draw()
| (self, annotator=None) | [
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|
28,954 | yampex.options | use_bump |
Bumps up the common y-axis upper limit to 120% of what Matplotlib
decides. Call with C{False} to disable the bump.
| def use_bump(self, yes=True):
"""
Bumps up the common y-axis upper limit to 120% of what Matplotlib
decides. Call with C{False} to disable the bump.
"""
self.opts['bump'] = yes
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|
28,955 | yampex.options | use_grid |
Adds a grid, unless called with C{False}.
The behavior this method is a little different than it used to
be. You can still enable a default grid by calling it with no
arguments, or turn off the grid entirely by supplying C{False}
as that sole argument. But now specifying a custom grid has
become a lot more powerful.
To turn gridlines on for just one axis's major tics, supply
that axis name as an argument followed by 'major'. (Not
case-sensitive.) For example, C{use_grid('x', 'major')}
enables only vertical grid lines at major tics of the 'x'
axis.
To turn gridlines on for both major and minor ticks, use
'both', like this: C{use_grid('both')}. Or, for major and
minor ticks on just the 'y' axis, for example, C{use_grid('y',
'both')}. You can also use the term 'minor' to have grid lines
just at minor ticks, though it's not evident why you would
want that as opposed to 'both'.
To have different grid lines for different axes, supply each
axis name followed by its tick specifier. For example, to have
horizontal grid lines at both major and minor ticks of the 'y'
axis but vertical lines just at major tick locations on the
'x' axis, do this:::
use_grid('x', 'both', 'y', 'major')
| def use_grid(self, *args):
"""
Adds a grid, unless called with C{False}.
The behavior this method is a little different than it used to
be. You can still enable a default grid by calling it with no
arguments, or turn off the grid entirely by supplying C{False}
as that sole argument. But now specifying a custom grid has
become a lot more powerful.
To turn gridlines on for just one axis's major tics, supply
that axis name as an argument followed by 'major'. (Not
case-sensitive.) For example, C{use_grid('x', 'major')}
enables only vertical grid lines at major tics of the 'x'
axis.
To turn gridlines on for both major and minor ticks, use
'both', like this: C{use_grid('both')}. Or, for major and
minor ticks on just the 'y' axis, for example, C{use_grid('y',
'both')}. You can also use the term 'minor' to have grid lines
just at minor ticks, though it's not evident why you would
want that as opposed to 'both'.
To have different grid lines for different axes, supply each
axis name followed by its tick specifier. For example, to have
horizontal grid lines at both major and minor ticks of the 'y'
axis but vertical lines just at major tick locations on the
'x' axis, do this:::
use_grid('x', 'both', 'y', 'major')
"""
x, y = self.opts['grid']
if not args:
# Default, no arg behavior
x = 'major'
y = 'major'
elif args[0]:
# Not just None or False
args = [x.lower() for x in args]
while args:
arg = args.pop(0)
if arg == 'x':
if args:
x = args.pop(0)
else: x = None
elif arg == 'y':
if args:
y = args.pop(0)
else: y = None
else:
x = y = arg
break
self.opts['grid'] = (x, y)
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|
28,956 | yampex.options | use_labels |
Has annotation labels point to each plot line instead of a legend,
with text taken from the legend list. (Works best in
interactive apps.)
Call with C{False} to revert to default legend-box behavior.
| def use_labels(self, yes=True):
"""
Has annotation labels point to each plot line instead of a legend,
with text taken from the legend list. (Works best in
interactive apps.)
Call with C{False} to revert to default legend-box behavior.
"""
self.opts['useLabels'] = yes
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|
28,957 | yampex.options | use_legend |
Has an automatic legend entry added for each plot line, unless
called with C{False}.
| def use_legend(self, yes=True):
"""
Has an automatic legend entry added for each plot line, unless
called with C{False}.
"""
self.opts['autolegend'] = yes
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|
28,958 | yampex.options | use_minorTicks |
Enables minor ticks for I{axisName} ("x" or "y", omit for
both). Call with C{False} after the I{axisName} to disable.
To enable with a specific tick spacing, supply a float instead
of just C{True}. Or, for a specific number of ticks, supply
that as an int.
Note that, due to a Matplotlib limitation, you can't enable
minor ticks for just one axis, although you can independently
set the tick spacings.
| def use_minorTicks(self, axisName=None, yes=True):
"""
Enables minor ticks for I{axisName} ("x" or "y", omit for
both). Call with C{False} after the I{axisName} to disable.
To enable with a specific tick spacing, supply a float instead
of just C{True}. Or, for a specific number of ticks, supply
that as an int.
Note that, due to a Matplotlib limitation, you can't enable
minor ticks for just one axis, although you can independently
set the tick spacings.
"""
if axisName is None:
for axisName in ('x', 'y'):
self.use_minorTicks(axisName, yes)
return
key = optkey(axisName, 'minor')
self.opts['ticks'][key] = yes
| (self, axisName=None, yes=True) | [
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|
28,959 | yampex.options | use_timex |
Uses intelligent time scaling for the x-axis, unless called with
C{False}.
If your x-axis is for time with units in seconds, you can call
this to have the X values rescaled to the most sensible units,
e.g., nanoseconds for values < 1E-6. Any I{xlabel} option is
disregarded in such case because the x label is set
automatically.
| def use_timex(self, yes=True):
"""
Uses intelligent time scaling for the x-axis, unless called with
C{False}.
If your x-axis is for time with units in seconds, you can call
this to have the X values rescaled to the most sensible units,
e.g., nanoseconds for values < 1E-6. Any I{xlabel} option is
disregarded in such case because the x label is set
automatically.
"""
self.opts['timex'] = yes
if not self._isSubplot:
self._universal_xlabel = True
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|
28,960 | yampex.plot | xBounds |
See L{Subplotter.xBounds}.
| def xBounds(self, *args, **kw):
"""
See L{Subplotter.xBounds}.
"""
self.sp.xBounds(*args, **kw)
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|
28,961 | yampex.plot | yBounds |
See L{Subplotter.yBounds}.
| def yBounds(self, *args, **kw):
"""
See L{Subplotter.yBounds}.
"""
self.sp.yBounds(*args, **kw)
| (self, *args, **kw) | [
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|
28,964 | contextlib | contextmanager | @contextmanager decorator.
Typical usage:
@contextmanager
def some_generator(<arguments>):
<setup>
try:
yield <value>
finally:
<cleanup>
This makes this:
with some_generator(<arguments>) as <variable>:
<body>
equivalent to this:
<setup>
try:
<variable> = <value>
<body>
finally:
<cleanup>
| def contextmanager(func):
"""@contextmanager decorator.
Typical usage:
@contextmanager
def some_generator(<arguments>):
<setup>
try:
yield <value>
finally:
<cleanup>
This makes this:
with some_generator(<arguments>) as <variable>:
<body>
equivalent to this:
<setup>
try:
<variable> = <value>
<body>
finally:
<cleanup>
"""
@wraps(func)
def helper(*args, **kwds):
return _GeneratorContextManager(func, args, kwds)
return helper
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|
28,972 | yampex | xy |
A quick way to do a simple plot with a grid and zero-crossing
line. You can provide one or more vectors to plot as args. If two
or more, the first one will be used for the x axis.
@keyword plot: Set to the name of a plot type, e.g., "semilogy" if
a particular plot type is desired.
@keyword dots: Set C{True} to show a marker at each coordinate
pair.
@keyword figSize: Set to a 2-sequence with figure width and height
if not using the default, which is just shy of your entire
monitor size. Dimensions are in inches, converted to pixels at
100 DPI, unless both are integers and either exceeds 75. Then
they are considered to specify the pixel dimensions directly.
@keyword width: Specify the figure width part of I{figSize}.
@keyword height: Specify the figure height part of I{figSize}.
@see: L{xyc}, on which this function is based.
| def xy(*args, **kw):
"""
A quick way to do a simple plot with a grid and zero-crossing
line. You can provide one or more vectors to plot as args. If two
or more, the first one will be used for the x axis.
@keyword plot: Set to the name of a plot type, e.g., "semilogy" if
a particular plot type is desired.
@keyword dots: Set C{True} to show a marker at each coordinate
pair.
@keyword figSize: Set to a 2-sequence with figure width and height
if not using the default, which is just shy of your entire
monitor size. Dimensions are in inches, converted to pixels at
100 DPI, unless both are integers and either exceeds 75. Then
they are considered to specify the pixel dimensions directly.
@keyword width: Specify the figure width part of I{figSize}.
@keyword height: Specify the figure height part of I{figSize}.
@see: L{xyc}, on which this function is based.
"""
with xyc(*args, **kw) as sp:
pass
| (*args, **kw) | [
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|
28,975 | sphinx_cache.setup | setup | null | def setup(app: Sphinx) -> Dict[str, Any]:
# Define config values
app.add_config_value("cache_store_path", ".cache/", "html", types=[str])
app.add_config_value("cache_doctree_path", "_build/.doctrees", "html", types=[str])
# Make connections to events
app.connect("config-inited", config_init)
app.connect("builder-inited", build_init)
app.connect("build-finished", write_cache)
return {
"version": __version__,
"parallel_read_safe": True,
"parallel_write_safe": True,
}
| (app: sphinx.application.Sphinx) -> Dict[str, Any] | [
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]
|
28,978 | aiomcache.client | Client | null | class Client(FlagClient[bytes]):
def __init__(self, host: str, port: int = 11211, *,
pool_size: int = 2, pool_minsize: Optional[int] = None,
conn_args: Optional[Mapping[str, Any]] = None):
super().__init__(host, port, pool_size=pool_size, pool_minsize=pool_minsize,
conn_args=conn_args,
get_flag_handler=None, set_flag_handler=None)
| (host: str, port: int = 11211, *, pool_size: int = 2, pool_minsize: Optional[int] = None, conn_args: Optional[Mapping[str, Any]] = None) | [
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|
28,979 | aiomcache.client | __init__ | null | def __init__(self, host: str, port: int = 11211, *,
pool_size: int = 2, pool_minsize: Optional[int] = None,
conn_args: Optional[Mapping[str, Any]] = None):
super().__init__(host, port, pool_size=pool_size, pool_minsize=pool_minsize,
conn_args=conn_args,
get_flag_handler=None, set_flag_handler=None)
| (self, host: str, port: int = 11211, *, pool_size: int = 2, pool_minsize: Optional[int] = None, conn_args: Optional[Mapping[str, Any]] = None) | [
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|
28,980 | aiomcache.client | _execute_simple_command | null | def _validate_key(self, key: bytes) -> bytes:
if not isinstance(key, bytes): # avoid bugs subtle and otherwise
raise ValidationException('key must be bytes', key)
# Must decode to str for unicode-aware comparison.
key_str = key.decode()
m = self._valid_key_re.match(key_str)
if m:
# in python re, $ matches either end of line or right before
# \n at end of line. We can't allow latter case, so
# making sure length matches is simplest way to detect
if len(m.group(0)) != len(key_str):
raise ValidationException('trailing newline', key)
else:
raise ValidationException('invalid key', key)
return key
| (self, conn: aiomcache.pool.Connection, raw_command: bytes) -> bytes | [
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|
28,981 | aiomcache.client | _incr_decr | null | @acquire
async def prepend(self, conn: Connection, key: bytes, value: bytes, exptime: int = 0) -> bool:
"""Add data to an existing key before existing data
:param key: ``bytes``, is the key of the item.
:param value: ``bytes``, data to store.
:param exptime: ``int`` is expiration time. If it's 0, the
item never expires.
:return: ``bool``, True in case of success.
"""
return await self._storage_command(conn, b"prepend", key, value, exptime)
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|
28,982 | aiomcache.client | _multi_get | null | @overload
async def _multi_get(self, conn: Connection, *keys: bytes,
with_cas: Literal[False]) -> _Result[_T, None]:
...
| (self, conn: aiomcache.pool.Connection, *keys: bytes, with_cas: bool = True) -> Tuple[Dict[bytes, Union[bytes, ~_T]], Dict[bytes, Optional[int]]] | [
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|
28,983 | aiomcache.client | _storage_command | null | @acquire
async def stats(
self, conn: Connection, args: Optional[bytes] = None
) -> Dict[bytes, Optional[bytes]]:
"""Runs a stats command on the server."""
# req - stats [additional args]\r\n
# resp - STAT <name> <value>\r\n (one per result)
# END\r\n
if args is None:
args = b''
conn.writer.write(b''.join((b'stats ', args, b'\r\n')))
result: Dict[bytes, Optional[bytes]] = {}
resp = await conn.reader.readline()
while resp != b'END\r\n':
terms = resp.split()
if len(terms) == 2 and terms[0] == b'STAT':
result[terms[1]] = None
elif len(terms) == 3 and terms[0] == b'STAT':
result[terms[1]] = terms[2]
elif len(terms) >= 3 and terms[0] == b'STAT':
result[terms[1]] = b' '.join(terms[2:])
else:
raise ClientException('stats failed', resp)
resp = await conn.reader.readline()
return result
| (self, conn: aiomcache.pool.Connection, command: bytes, key: bytes, value: Union[bytes, ~_T], exptime: int = 0, cas: Optional[int] = None) -> bool | [
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|
28,985 | aiomcache.client | add | Store this data, but only if the server *doesn't* already
hold data for this key.
:param key: ``bytes``, is the key of the item.
:param value: ``bytes``, data to store.
:param exptime: ``int`` is expiration time. If it's 0, the
item never expires.
:return: ``bool``, True in case of success.
| def acquire(
func: Callable[Concatenate[_Client, Connection, _P], Awaitable[_T]]
) -> Callable[Concatenate[_Client, _P], Awaitable[_T]]:
@functools.wraps(func)
async def wrapper(self: _Client, *args: _P.args, # type: ignore[misc]
**kwargs: _P.kwargs) -> _T:
conn = await self._pool.acquire()
try:
return await func(self, conn, *args, **kwargs)
except Exception as exc:
conn[0].set_exception(exc)
raise
finally:
self._pool.release(conn)
return wrapper
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|
28,986 | aiomcache.client | append | Add data to an existing key after existing data
:param key: ``bytes``, is the key of the item.
:param value: ``bytes``, data to store.
:param exptime: ``int`` is expiration time. If it's 0, the
item never expires.
:return: ``bool``, True in case of success.
| def acquire(
func: Callable[Concatenate[_Client, Connection, _P], Awaitable[_T]]
) -> Callable[Concatenate[_Client, _P], Awaitable[_T]]:
@functools.wraps(func)
async def wrapper(self: _Client, *args: _P.args, # type: ignore[misc]
**kwargs: _P.kwargs) -> _T:
conn = await self._pool.acquire()
try:
return await func(self, conn, *args, **kwargs)
except Exception as exc:
conn[0].set_exception(exc)
raise
finally:
self._pool.release(conn)
return wrapper
| (self, conn: aiomcache.pool.Connection, key: bytes, value: Union[bytes, ~_T], exptime: int = 0) -> bool | [
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|
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