old_contents: from .config import *
  from ..utils import rebin, db
  from .plot_utils import calc_extent
  
  def plot_time_series(wf, f_start=None, f_stop=None, if_id=0, logged=True, orientation='h', MJD_time=False, **kwargs):
      """ Plot the time series.
  
       Args:
          f_start (float): start frequency, in MHz
          f_stop (float): stop frequency, in MHz
          logged (bool): Plot in linear (False) or dB units (True),
          kwargs: keyword args to be passed to matplotlib imshow()
      """
  
      ax = plt.gca()
      plot_f, plot_data = wf.grab_data(f_start, f_stop, if_id)
  
      # Since the data has been squeezed, the axis for time goes away if only one bin, causing a bug with axis=1
      if len(plot_data.shape) > 1:
          plot_data = np.nanmean(plot_data, axis=1)
      else:
          plot_data = np.nanmean(plot_data)
          
      print(plot_data)
  
      if logged and wf.header['nbits'] >= 8:
          plot_data = db(plot_data)
      print(plot_data)
  
      # Make proper time axis for plotting (but only for plotting!). Note that this makes the values inclusive.
      extent = calc_extent(wf, plot_f=plot_f, plot_t=wf.timestamps, MJD_time=MJD_time)
      plot_t = np.linspace(extent[2], extent[3], len(wf.timestamps))
  
      if MJD_time:
          tlabel = "Time [MJD]"
      else:
          tlabel = "Time [s]"
  
      if logged:
          plabel = "Power [dB]"
      else:
          plabel = "Power [counts]"
  
      # Reverse oder if vertical orientation.
      if 'v' in orientation:
          plt.plot(plot_data, plot_t, **kwargs)
          plt.xlabel(plabel)
  
      else:
          plt.plot(plot_t, plot_data, **kwargs)
          plt.xlabel(tlabel)
          plt.ylabel(plabel)
  
      ax.autoscale(axis='both', tight=True)
  
new_contents: from .config import *
  from ..utils import rebin, db
  from .plot_utils import calc_extent
  
  def plot_time_series(wf, f_start=None, f_stop=None, if_id=0, logged=True, orientation='h', MJD_time=False, **kwargs):
      """ Plot the time series.
  
       Args:
          f_start (float): start frequency, in MHz
          f_stop (float): stop frequency, in MHz
          logged (bool): Plot in linear (False) or dB units (True),
          kwargs: keyword args to be passed to matplotlib imshow()
      """
  
      ax = plt.gca()
      plot_f, plot_data = wf.grab_data(f_start, f_stop, if_id)
  
      # Since the data has been squeezed, the axis for time goes away if only one bin, causing a bug with axis=1
      if len(plot_data.shape) > 1:
          plot_data = np.nanmean(plot_data, axis=1)
      else:
          plot_data = np.nanmean(plot_data)
  
      if logged and wf.header['nbits'] >= 8:
          plot_data = db(plot_data)
  
      # Make proper time axis for plotting (but only for plotting!). Note that this makes the values inclusive.
      extent = calc_extent(wf, plot_f=plot_f, plot_t=wf.timestamps, MJD_time=MJD_time)
      plot_t = np.linspace(extent[2], extent[3], len(wf.timestamps))
  
      if MJD_time:
          tlabel = "Time [MJD]"
      else:
          tlabel = "Time [s]"
  
      if logged:
          plabel = "Power [dB]"
      else:
          plabel = "Power [counts]"
  
      # Reverse oder if vertical orientation.
      if 'v' in orientation:
          plt.plot(plot_data, plot_t, **kwargs)
          plt.xlabel(plabel)
  
      else:
          plt.plot(plot_t, plot_data, **kwargs)
          plt.xlabel(tlabel)
          plt.ylabel(plabel)
  
      ax.autoscale(axis='both', tight=True)
  
subject: remove extra print statements