code: def _plot_one_ale_num(
      exp: Explanation,
      feature: int,
      targets: List[int],
      constant: bool = False,
      ax: "plt.Axes" = None,
      legend: bool = True,
      line_kw: dict = None,
  ) -> "plt.Axes":
      """
      Plots the ALE of exactly one feature on one axes.
      """
      import matplotlib.pyplot as plt
      from matplotlib import transforms
  
      if ax is None:
          ax = plt.gca()
  
      # add zero baseline
      ax.axhline(0, color="grey")
  
      lines = ax.plot(
          exp.feature_values[feature],
          exp.ale_values[feature][:, targets]
          + constant * exp.constant_value,
          **line_kw,
      )
  
      # add decile markers to the bottom of the plot
      trans = transforms.blended_transform_factory(
          ax.transData, ax.transAxes
      )
      ax.vlines(
          exp.feature_deciles[feature][1:], 0, 0.05, transform=trans
      )
  
      ax.set_xlabel(exp.feature_names[feature])
      ax.set_ylabel("ALE")
  
      if legend:
          # if no explicit labels passed, just use target names
          if line_kw["label"] is None:
              ax.legend(lines, exp.target_names[targets])
  
      return ax
  
imports: import copy
  import math
  import numpy
  import pandas
  from itertools import count
  from functools import partial
  from typing import Callable, List, Optional, Tuple, Union, Dict, TYPE_CHECKING, no_type_check
  import sys
  import logging
  from alibi.api.interfaces import Explainer, Explanation
  from alibi.api.defaults import DEFAULT_META_ALE, DEFAULT_DATA_ALE
label_desc: Use image node_id 7 for calling a global function with example usage: _plot_one_ale_num(exp, feature, targets, constant, ax, legend, line_kw) and returns: ax