How to use 'pandas plot multiple columns' in Python

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def draw_plots(self, column_x, column_y, column_hue):
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    """
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    Function that draws plot in the panel.
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    Args:
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        column_x --> 1D dataframe: dataframe column extracted from df 
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            (i.e. column_x = df[column_x_name]) as x axis data
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        column_y --> 1D dataframe: dataframe column extracted from df 
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            (i.e. column_y = df[column_y_name]) as y axis data
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        column_hue --> 1D dataframe: dataframe column extracted from df 
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            (i.e. column_hue = df[column_hue_name]) as legend data
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    Returns: None
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    """
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    # Reset plot first
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    self.box_axes.clear()
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    self.violin_axes.clear()
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    # Box plot
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    try:
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        sns.boxplot(x=column_x, y=column_y, hue=column_hue, data=self.df, ax=self.box_axes)
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    except ValueError as e:
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        # log Error
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        _log_message = "\nBox plot failed due to error:\n--> {}".format(e)
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        pub.sendMessage("LOG_MESSAGE", log_message=_log_message)
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    # Violin plot
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    try:
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        sns.violinplot(x=column_x, y=column_y, hue=column_hue, data=self.df, split=True, ax=self.violin_axes)
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    except ValueError as e:
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        # log Error
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        _log_message = "\nVolin plot failed due to error:\n--> {}".format(e)
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        pub.sendMessage("LOG_MESSAGE", log_message=_log_message)
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    # Set plot style
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    self.box_axes.set_title("Box Plot for {} and {}".format(column_x, column_y))
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    self.box_axes.set_ylabel(column_y)
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    self.box_axes.set_xlabel(column_x)
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    self.box_canvas.draw()
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    self.violin_axes.set_title("Violin Plot for {} and {}".format(column_x, column_y))
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    self.violin_axes.set_ylabel(column_y)
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    self.violin_axes.set_xlabel(column_x)
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    self.violin_canvas.draw()

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def plot(ax, x, y, **kwargs):
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  '''
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  '''
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  # Determine the label text
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  label = kwargs.pop('label', None)
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  if label is None:
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    label = '%s (%s)' % (y.name, y.parent)
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  # Determine the color
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  color = kwargs.pop('color', None)
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  if color is None:
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    color = y.color
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  # Axis labels
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  if len(x.unit):
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    ax.set_xlabel('%s (%s)' % (x.description, x.unit))
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  else:
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    ax.set_xlabel(x.description)
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  if len(y.unit):
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    ax.set_ylabel('%s (%s)' % (y.description, y.unit))
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  else:
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    ax.set_ylabel(y.description)
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  # Plot
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  l = ax.plot(x, y, color = color, label = label, **kwargs)
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  return l