code: def _set_ax_settings(ax):
      ax.set_title("Precision-Recall")
      ax.set_xlim([0.0, 1.0])
      ax.set_ylim([0.0, 1.05])
      ax.set_xlabel("Recall")
      ax.set_ylabel("Precision")
      ax.legend(loc="best")
  
file_path: sklearn-evaluation/src/sklearn_evaluation/plot/precision_recall.py
imports: import numpy
  import matplotlib.pyplot
  from sklearn.metrics import precision_recall_curve, average_precision_score
  from sklearn.preprocessing import label_binarize
  from ..telemetry import SKLearnEvaluationLogger
  from ..util import is_column_vector, is_row_vector
  from ploomber_core.exceptions import modify_exceptions
label_desc: Use image node_id 4 for calling a global function with example usage: _set_ax_settings(ax) without return types