code: def scatter_hist(x, y, xlabel=None, ylabel=None, figsize=(5, 5)):
      """
      Scatter plot and individual feature histograms along axes.
  
      Parameters
      ----------
      x : 1D array-like or Pandas Series
          X-axis values.
  
      y : 1D array-like or Pandas Series
          Y-axis values.
  
      xlabel : str (default: `None`)
          Label for the X-axis values. If `x` is a pandas Series,
          and `xlabel` is `None`, the label is inferred automatically.
  
      ylabel : str (default: `None`)
          Label for the X-axis values. If `y` is a pandas Series,
          and `ylabel` is `None`, the label is inferred automatically.
  
      figsize : tuple (default: `(5, 5)`)
          Matplotlib figure size.
  
      Returns
      ---------
      plot : Matplotlib Figure object
  
      """
      left, width = 0.1, 0.65
      bottom, height = 0.1, 0.65
      spacing = 0.001
      rect_scatter = [left, bottom, width, height]
      rect_histx = [left, bottom + height + spacing, width, 0.2]
      rect_histy = [left + width + spacing, bottom, 0.2, height]
  
      if hasattr(x, "values"):
          x_values = x.values
          if xlabel is None:
              xlabel = x.name
      else:
          x_values = x
  
      if hasattr(y, "values"):
          y_values = y.values
          if ylabel is None:
              ylabel = y.name
      else:
          y_values = y
  
      fig = plt.figure(figsize=figsize)
      ax = fig.add_axes(rect_scatter)
  
      if xlabel is not None:
          ax.set_xlabel(xlabel)
      if ylabel is not None:
          ax.set_ylabel(ylabel)
  
      ax_histx = fig.add_axes(rect_histx, sharex=ax)
      ax_histy = fig.add_axes(rect_histy, sharey=ax)
      ax_histx.tick_params(axis="x", labelbottom=False)
      ax_histy.tick_params(axis="y", labelleft=False)
      ax_histx.axis("off")
      ax_histy.axis("off")
      ax_histx.hist(x_values, edgecolor="white", bins="auto")
      ax_histy.hist(
          y_values,
          edgecolor="white",
          orientation="horizontal",
          bins="auto",
      )
      plot = ax.scatter(x_values, y_values)
      return plot
  
imports: import matplotlib.pyplot
  import numpy
  import pandas
label_desc: Use image node_id 1 for calling a global function with example usage: scatter_hist(x, y, xlabel, ylabel, figsize) and returns: plot