from plotly.basedatatypes import BaseTraceHierarchyType import copy class Stream(BaseTraceHierarchyType): # maxpoints # --------- @property def maxpoints(self): """ 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. The 'maxpoints' property is a number and may be specified as: - An int or float in the interval [0, 10000] Returns ------- int|float """ return self['maxpoints'] @maxpoints.setter def maxpoints(self, val): self['maxpoints'] = val # token # ----- @property def token(self): """ The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. The 'token' property is a string and must be specified as: - A non-empty string Returns ------- str """ return self['token'] @token.setter def token(self, val): self['token'] = val # property parent name # -------------------- @property def _parent_path_str(self): return 'scatterpolar' # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ 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. """ 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.scatterpolar.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.scatterpolar.Stream constructor must be a dict or an instance of plotly.graph_objs.scatterpolar.Stream""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop('skip_invalid', False) # Import validators # ----------------- from plotly.validators.scatterpolar 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