code: def _string_is_date(series):
      try:
          pd.to_datetime(series[:10])
      except (
          pd.errors.OutOfBoundsDatetime,
          ValueError,
          TypeError,
          OverflowError,
      ):
          return False
      try:
          pd.to_datetime(series)
      except (
          pd.errors.OutOfBoundsDatetime,
          ValueError,
          TypeError,
          OverflowError,
      ):
          return False
      return True
  
imports: from importlib.metadata import version
  from joblib import hash
  import warnings
  from warnings import warn
  import numpy
  import pandas
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.compose import make_column_transformer, ColumnTransformer
  from sklearn.impute import SimpleImputer
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import OneHotEncoder, StandardScaler
  from sklearn.utils.validation import check_is_fitted
label_desc: Use image node_id 4 for calling a global function with example usage: _string_is_date(series) and returns: True, False, False