class_docstr: Refer to FigureFactory.create_streamline() for docstring
class_docstr_tok: ["Refer","to","FigureFactory.create_streamline","(",")","for","docstring"]
docstr: Set up for RK4 function, based on Bokeh's streamline code
docstr_tok: ["Set","up","for","RK4","function",",","based","on","Bokeh","'s","streamline","code"]
code: def value_at(self, a, xi, yi):
      """
      Set up for RK4 function, based on Bokeh's streamline code
      """
      if isinstance(xi, np.ndarray):
          self.x = xi.astype(np.int)
          self.y = yi.astype(np.int)
      else:
          self.val_x = np.int(xi)
          self.val_y = np.int(yi)
      a00 = a[self.val_y, self.val_x]
      a01 = a[self.val_y, self.val_x + 1]
      a10 = a[self.val_y + 1, self.val_x]
      a11 = a[self.val_y + 1, self.val_x + 1]
      xt = xi - self.val_x
      yt = yi - self.val_y
      a0 = a00 * (1 - xt) + a01 * xt
      a1 = a10 * (1 - xt) + a11 * xt
      return a0 * (1 - yt) + a1 * yt
  
file_path: catboost/contrib/python/plotly/py2/plotly/figure_factory/_streamline.py
imports: from __future__ import absolute_import
  import math
  from plotly import exceptions, optional_imports
  from plotly.figure_factory import utils
  from plotly.graph_objs import graph_objs
label_desc: Use image node_id 3 for calling the _Streamline obj's underlying member method code with example usage: obj.value_at(a, xi, yi) and returns: unknown