class_docstr: Lag correlation (ACF/PACF) plots, commonly known as lollipop, for analysing correlation on
  a given lag. Useful for auto-, partial-, cross- and partial-cross-correlation.
class_docstr_tok: ["Lag","correlation","(","ACF\/PACF",")","plots",",","commonly","known","as","lollipop",",","for","analysing","correlation","on","a","given","lag",".","Useful","for","auto-",",","partial-",",","cross-","and","partial-cross-correlation","."]
code: def _base_opts(self) -> dict:
      return {
          "margin": {"l": 30, "r": 30, "b": 10, "t": 30},
          "xaxis": {
              "showgrid": False,
              "zeroline": False,
              "title": self._label_xaxis,
          },
          "yaxis": {
              "showgrid": True,
              "zeroline": True,
              "title": self._label_yaxis,
          },
          "showlegend": False,
      }
  
imports: from typing import Union, Optional, Any
  from copy import deepcopy
  import pandas
  import numpy
  from scipy.stats import gaussian_kde
  from tslumen.plot.interactive.base import VizBase, go, make_subplots
  from tslumen.plot.utils import cmapper
label_desc: Use image node_id 3 for calling the LagCorrelation obj's underlying member method code with example usage: obj._base_opts() and returns: dict