code: def _use_dynamic_x(ax, data):
      freq = _get_index_freq(data)
      ax_freq = _get_ax_freq(ax)
  
      if freq is None:  # convert irregular if axes has freq info
          freq = ax_freq
      else:  # do not use tsplot if irregular was plotted first
          if (ax_freq is None) and (len(ax.get_lines()) > 0):
              return False
  
      if freq is None:
          return False
  
      if isinstance(freq, DateOffset):
          freq = freq.rule_code
      else:
          freq = get_base_alias(freq)
      freq = frequencies.get_period_alias(freq)
  
      if freq is None:
          return False
  
      # hack this for 0.10.1, creating more technical debt...sigh
      if isinstance(data.index, ABCDatetimeIndex):
          base = get_freq(freq)
          x = data.index
          if base <= FreqGroup.FR_DAY:
              return x[:1].is_normalized
          return Period(x[0], freq).to_timestamp(tz=x.tz) == x[0]
      return True
  
imports: import functools
  from matplotlib import pylab
  import numpy
  from pandas._libs.tslibs.frequencies import FreqGroup, get_base_alias, get_freq, is_subperiod, is_superperiod
  from pandas._libs.tslibs.period import Period
  import pandas.compat
  from pandas.core.dtypes.generic import ABCDatetimeIndex, ABCPeriodIndex, ABCTimedeltaIndex
  from pandas.io.formats.printing import pprint_thing
  from pandas.plotting._converter import TimeSeries_DateFormatter, TimeSeries_DateLocator, TimeSeries_TimedeltaFormatter
  import pandas.tseries.frequencies
  from pandas.tseries.offsets import DateOffset
label_desc: Use image node_id 10 for calling a global function with example usage: _use_dynamic_x(ax, data) and returns: True, False, False, unknown, False, x