code: def _guess_time_format_for_array(arr):
      # Try to guess the format based on the first non-NaN element
      non_nan_elements = notna(arr).nonzero()[0]
      if len(non_nan_elements):
          element = arr[non_nan_elements[0]]
          for time_format in _time_formats:
              try:
                  datetime.strptime(element, time_format)
                  return time_format
              except ValueError:
                  pass
  
      return None
  
imports: from datetime import datetime, time
  from functools import partial
  import numpy
  from pandas._libs import tslib, tslibs
  from pandas._libs.tslibs import Timestamp, conversion, parsing
  from pandas._libs.tslibs.parsing import DateParseError, _format_is_iso, _guess_datetime_format, parse_time_string
  from pandas._libs.tslibs.strptime import array_strptime
  from pandas.compat import zip
  from pandas.core.dtypes.common import ensure_object, is_datetime64_dtype, is_datetime64_ns_dtype, is_datetime64tz_dtype, is_float, is_integer, is_integer_dtype, is_list_like, is_numeric_dtype, is_object_dtype, is_scalar
  from pandas.core.dtypes.generic import ABCDataFrame, ABCIndexClass, ABCSeries
  from pandas.core.dtypes.missing import notna
  from pandas import compat
  from pandas.core import algorithms
label_desc: Use image node_id 10 for calling a global function with example usage: _guess_time_format_for_array(arr) and returns: None, time_format