def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
"""
Construct a new Stream object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.candlestick.Stream
maxpoints
Sets the maximum number of points to keep on the plots
from an incoming stream. If `maxpoints` is set to *50*,
only the newest 50 points will be displayed on the
plot.
token
The stream id number links a data trace on a plot with
a stream. See https://plot.ly/settings for more
details.
Returns
-------
Stream
"""
super(Stream, self).__init__('stream')
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.candlestick.Stream
constructor must be a dict or
an instance of plotly.graph_objs.candlestick.Stream"""
)
# Import validators
# -----------------
from plotly.validators.candlestick import (stream as v_stream)
# Initialize validators
# ---------------------
self._validators['maxpoints'] = v_stream.MaxpointsValidator()
self._validators['token'] = v_stream.TokenValidator()
# Populate data dict with properties
# ----------------------------------
v = arg.pop('maxpoints', None)
self.maxpoints = maxpoints if maxpoints is not None else v
v = arg.pop('token', None)
self.token = token if token is not None else v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
"""
Construct a new Stream object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.candlestick.Stream`
maxpoints
Sets the maximum number of points to keep on the plots
from an incoming stream. If `maxpoints` is set to 50,
only the newest 50 points will be displayed on the
plot.
token
The stream id number links a data trace on a plot with
a stream. See https://chart-studio.plotly.com/settings
for more details.
Returns
-------
Stream
"""
super(Stream, self).__init__("stream")
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError("""\
The first argument to the plotly.graph_objs.candlestick.Stream
constructor must be a dict or
an instance of :class:`plotly.graph_objs.candlestick.Stream`""")
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
# Import validators
# -----------------
from plotly.validators.candlestick import stream as v_stream
# Initialize validators
# ---------------------
self._validators["maxpoints"] = v_stream.MaxpointsValidator()
self._validators["token"] = v_stream.TokenValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("maxpoints", None)
self["maxpoints"] = maxpoints if maxpoints is not None else _v
_v = arg.pop("token", None)
self["token"] = token if token is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False