content: import matplotlib.pylab as plt
  
  import numpy as np
  
  
  def handle_2d_plot(
      embedding,
      kind,
      color=None,
      xlabel=None,
      ylabel=None,
      title=None,
      show_operations=False,
      annot=True,
      axis_option=None,
  ):
      """
      Handles the logic to perform a 2d plot in matplotlib.
  
      **Input**
  
      - embedding.md: a `whatlies.Embedding` object to plot
      - kind: what kind of plot to make, can be `scatter`, `arrow` or `text`
      - color: the color to apply, only works for `scatter` and `arrow`
      - xlabel: manually override the xlabel
      - ylabel: manually override the ylabel
      - title: optional title used for the plot
      - show_operations: setting to also show the applied operations, only works for `text`
      - axis_option: a string which is passed to `matplotlib.pyplot.axis` function.
      """
      if not isinstance(embedding, list):
          # It's a single Embedding instance
          embedding = [embedding]
      vectors = np.array([e.vector for e in embedding])
      names = [e.name if show_operations else e.orig for e in embedding]
      if kind == "scatter":
          if color is None:
              color = "steelblue"
          plt.scatter(vectors[:, 0], vectors[:, 1], c=color)
      if kind == "arrow":
          plt.scatter(vectors[:, 0], vectors[:, 1], c="white", s=0.01)
          plt.quiver(
              np.zeros_like(vectors[:, 0]),
              np.zeros_like(vectors[:, 1]),
              vectors[:, 0],
              vectors[:, 1],
              color=color,
              angles="xy",
              scale_units="xy",
              scale=1,
          )
      if (kind == "text") or annot:
          for vec, name in zip(vectors, names):
              plt.text(vec[0] + 0.01, vec[1], name)
  
      plt.xlabel("x" if xlabel is None else xlabel)
      plt.ylabel("y" if ylabel is None else ylabel)
      if title is not None:
          plt.title(title)
      if axis_option is not None:
          plt.axis(axis_option)
  