
def smushplot(data, smusher):
    if isinstance(smusher, str):
        # Need to get appropriate smusher from sklearn given the string
        pass
    else:
        # Assume this is already an initialized sklearn object with the
        # ``fit_transform()`` method
        pass


def smushplot(data, smusher, n_components=2, marker='o', marker_order=None,
              text=False, text_order=None, linewidth=1, linewidth_order=None,
              edgecolor='k', edgecolor_order=None, smusher_kws=None,
              plot_kws=None):
    if isinstance(smusher, str):
        # Need to get appropriate smusher from sklearn given the string
        pass
    else:
        # Assume this is already an initialized sklearn object with the
        # ``fit_transform()`` method
        pass

Add a bunch of plotting and keyword arguments
Add a bunch of plotting and keyword arguments

  
- def smushplot(data, smusher):
+ def smushplot(data, smusher, n_components=2, marker='o', marker_order=None,
+               text=False, text_order=None, linewidth=1, linewidth_order=None,
+               edgecolor='k', edgecolor_order=None, smusher_kws=None,
+               plot_kws=None):
      if isinstance(smusher, str):
          # Need to get appropriate smusher from sklearn given the string
          pass
      else:
          # Assume this is already an initialized sklearn object with the
          # ``fit_transform()`` method
          pass
  
Add a bunch of plotting and keyword arguments
## Code Before:

def smushplot(data, smusher):
    if isinstance(smusher, str):
        # Need to get appropriate smusher from sklearn given the string
        pass
    else:
        # Assume this is already an initialized sklearn object with the
        # ``fit_transform()`` method
        pass

## Instruction:
Add a bunch of plotting and keyword arguments
## Code After:

def smushplot(data, smusher, n_components=2, marker='o', marker_order=None,
              text=False, text_order=None, linewidth=1, linewidth_order=None,
              edgecolor='k', edgecolor_order=None, smusher_kws=None,
              plot_kws=None):
    if isinstance(smusher, str):
        # Need to get appropriate smusher from sklearn given the string
        pass
    else:
        # Assume this is already an initialized sklearn object with the
        # ``fit_transform()`` method
        pass
