old_contents: # -*- coding: utf-8 -*-
  
  """Functions to quickly display charts in a Notebook.
  """
  
  import string
  import random
  import json
  import copy
  
  from IPython.core import getipython
  from IPython.core.display import display, HTML
  
  from core import serialize
  
  
  # Note that Highstock includes all Highcharts features.
  HIGHCHARTS_SCRIPTS = """
  <script src="//code.highcharts.com/stock/highstock.js"></script>
  <script src="//code.highcharts.com/highcharts-more.js"></script>
  <script src="//code.highcharts.com/modules/exporting.js"></script>
  """
  
  
  def load_highcharts():
      return display(HTML(HIGHCHARTS_SCRIPTS))
  
  # Automatically insert the script tag into your Notebook.
  # Call when you import this module.
  if 'IPKernelApp' in getipython.get_ipython().config:
      load_highcharts()
  
  
  def _generate_div_id_chart(prefix="chart_id", digits=8):
      """Generate a random id for div chart.
      """
      choices = (random.randrange(0, 52) for _ in xrange(digits))
      return prefix + "".join((string.ascii_letters[x] for x in choices))
  
  
  def display_charts(df, chart_type="default", render_to=None, **kwargs):
      """Display you DataFrame with Highcharts.
  
      df: DataFrame
      chart_type: str
          'default' or 'stock'
      render_to: str
          div id for plotting your data
      """
      if chart_type not in ("default", "stock"):
          raise ValueError("Wrong chart_type: accept 'default' or 'stock'.")
      chart_id = render_to if render_to is not None else _generate_div_id_chart()
      json_data = serialize(df, render_to=chart_id, chart_type=chart_type,
                            **kwargs)
      content = """<div id="{chart_id}"</div>
      <script type="text/javascript">{data}</script>"""
      return display(HTML(content.format(chart_id=chart_id,
                                         data=json_data)))
  
  
  def _series_data_filter(data):
      """Replace each 'data' key in the list stored under 'series' by "[...]".
  
      Use to not store and display the series data when you just want display and
      modify the Highcharts parameters.
  
      data: dict
          Serialized DataFrame in a dict for Highcharts
  
      Returns: a dict with filtered values
  
      See also `core.serialize`
      """
      data = copy.deepcopy(data)
      if "series" in data:
          for series in data["series"]:
              series["data"] = "[...]"
      return data
  
  
  def pretty_params(data, indent=2):
      """Pretty print your Highcharts params (into a JSON).
  
      data: dict
          Serialized DataFrame in a dict for Highcharts
      """
      data_to_print = _series_data_filter(data)
      print(json.dumps(data_to_print, indent=indent))
  
new_contents: # -*- coding: utf-8 -*-
  
  """Functions to quickly display charts in a Notebook.
  """
  
  import string
  import random
  import json
  import copy
  
  from IPython.core import getipython
  from IPython.core.display import display, HTML
  
  from .core import serialize
  
  
  # Note that Highstock includes all Highcharts features.
  HIGHCHARTS_SCRIPTS = """
  <script src="//code.highcharts.com/stock/highstock.js"></script>
  <script src="//code.highcharts.com/highcharts-more.js"></script>
  <script src="//code.highcharts.com/modules/exporting.js"></script>
  """
  
  
  def load_highcharts():
      return display(HTML(HIGHCHARTS_SCRIPTS))
  
  # Automatically insert the script tag into your Notebook.
  # Call when you import this module.
  if 'IPKernelApp' in getipython.get_ipython().config:
      load_highcharts()
  
  
  def _generate_div_id_chart(prefix="chart_id", digits=8):
      """Generate a random id for div chart.
      """
      choices = (random.randrange(0, 52) for _ in xrange(digits))
      return prefix + "".join((string.ascii_letters[x] for x in choices))
  
  
  def display_charts(df, chart_type="default", render_to=None, **kwargs):
      """Display you DataFrame with Highcharts.
  
      df: DataFrame
      chart_type: str
          'default' or 'stock'
      render_to: str
          div id for plotting your data
      """
      if chart_type not in ("default", "stock"):
          raise ValueError("Wrong chart_type: accept 'default' or 'stock'.")
      chart_id = render_to if render_to is not None else _generate_div_id_chart()
      json_data = serialize(df, render_to=chart_id, chart_type=chart_type,
                            **kwargs)
      content = """<div id="{chart_id}"</div>
      <script type="text/javascript">{data}</script>"""
      return display(HTML(content.format(chart_id=chart_id,
                                         data=json_data)))
  
  
  def _series_data_filter(data):
      """Replace each 'data' key in the list stored under 'series' by "[...]".
  
      Use to not store and display the series data when you just want display and
      modify the Highcharts parameters.
  
      data: dict
          Serialized DataFrame in a dict for Highcharts
  
      Returns: a dict with filtered values
  
      See also `core.serialize`
      """
      data = copy.deepcopy(data)
      if "series" in data:
          for series in data["series"]:
              series["data"] = "[...]"
      return data
  
  
  def pretty_params(data, indent=2):
      """Pretty print your Highcharts params (into a JSON).
  
      data: dict
          Serialized DataFrame in a dict for Highcharts
      """
      data_to_print = _series_data_filter(data)
      print(json.dumps(data_to_print, indent=indent))
  
subject: Update display.py