class_docstr: Guides for each scale
  
  Used to assign a particular guide to an aesthetic(s).
  
  Parameters
  ----------
  kwargs : dict
      aesthetic - guide pairings. e.g
      ```python
      guides(color=guide_colorbar())
      ```
class_docstr_tok: ["Guides","for","each","scale","Used","to","assign","a","particular","guide","to","an","aesthetic","(","s",")",".","Parameters","--","--","--","--","--","kwargs",":","dict","aesthetic","-","guide","pairings",".","e.g","``","`","python","guides","(","color=guide_colorbar","(",")",")","``","`"]
docstr: Add guides to the plot
  
  Parameters
  ----------
  plot : ggplot
      ggplot object being created
  
  Returns
  -------
  out : gglot
      ggplot object with guides. If *inplace*
      is **False** this is a copy of the original
      ggplot object.
docstr_tok: ["Add","guides","to","the","plot","Parameters","--","--","--","--","--","plot",":","ggplot","ggplot","object","being","created","Returns","--","--","--","-","out",":","gglot","ggplot","object","with","guides",".","If","*","inplace","*","is","*","*","False","*","*","this","is","a","copy","of","the","original","ggplot","object","."]
code: def __radd__(self, plot):
      """
      Add guides to the plot
  
      Parameters
      ----------
      plot : ggplot
          ggplot object being created
  
      Returns
      -------
      out : gglot
          ggplot object with guides. If *inplace*
          is **False** this is a copy of the original
          ggplot object.
      """
      new_guides = {}
      for k in self:
          new_guides[k] = deepcopy(self[k])
      plot.guides.update(new_guides)
      return plot
  
imports: from __future__ import annotations
  import typing
  from copy import deepcopy
  from warnings import warn
  import numpy
  import pandas
  from .._utils.registry import Registry
  from ..exceptions import PlotnineError, PlotnineWarning
  from .guide import guide
label_desc: Use image node_id 2 for calling the guides obj's underlying member method code with example usage: obj.__radd__(plot) and returns: plot