docs: def plot_h(data, cols, wspace=.1, plot_kw=None, **kwargs):
      """
      Plot horizontally
  
      Args:
          data: DataFrame of data
          cols: columns to be plotted
          wspace: spacing between plots
          plot_kw: kwargs for each plot
          **kwargs: kwargs for the whole plot
  
      Returns:
          axes for plots
  
      Examples:
          >>> import pandas as pd
          >>> import numpy as np
          >>>
          >>> idx = range(5)
          >>> data = pd.DataFrame(dict(a=np.exp(idx), b=idx), index=idx)
          >>> # plot_h(data=data, cols=['a', 'b'], wspace=.2, plot_kw=[dict(style='.-'), dict()])
      """
      import matplotlib.pyplot as plt
  
      if plot_kw is None: plot_kw = [dict()] * len(cols)
  
      _, axes = plt.subplots(nrows=1, ncols=len(cols), **kwargs)
      plt.subplots_adjust(wspace=wspace)
      for n, col in enumerate(cols):
          data.loc[:, col].plot(ax=axes[n], **plot_kw[n])
  
      return axes