class_docstr: Time Series tab: Distribution
class_docstr_tok: ["Time","Series","tab",":","Distribution"]
code: def __init__(
      self, name: str, result: Dict[str, Any], ser: pd.Series
  ) -> None:
      _ = (name, ser)
      self.plot_dist = Distribution(
          series=result["binned"],
          df_percentiles=result["pd_percentiles"],
          df_quantiles=result["pd_quantiles"],
          figsize=(6.8, 5),
      )
  
imports: from typing import Dict, Any, Optional
  from pprint import pformat
  import pandas
  import yaml
  import tslumen
  from tslumen.misc import lazyproperty
  from tslumen.scheduling import Scheduler
  from tslumen.profile import BundledResult
  from tslumen import jinja_utils
  from tslumen.report.html.base import HtmlBlock
  from tslumen.plot.static import TS, TSStack, Distribution, BoxPlot, LagCorrelation, LagMatrix, Radar, Heatmap, ScatterMatrix, GrangerMatrix, GrangerGraph
label_desc: Use image node_id 1 to create a new TabTSDistribution object from inherited base classes: HtmlBlock with example: obj = TabTSDistribution(name, result, ser)