text: import pandas as pd
  
  def get_datetime_info(df, date_col, timezone=None, drop=False):
      """
      Extract date and time information from a column in dataframe
      and add as new columns. Time zones are converted to local time if specified.
  
      :param df: pandas dataframe
      :param date_col: string representing the column containing datetimes. Can also be 'index' to use the index
      :param timezone: string for the time zone. If passed, times are converted to local
      :param drop: boolean indicating whether the original column should be dropped from the df
  
      :return df: dataframe with added date and time columns
      """
      df = df.copy()
  
      # Extract the field
      if date_col == 'index':
          fld = df.index.to_series()
          prefix = df.index.name if df.index.name is not None else 'datetime'
      else:
          fld = df[date_col]
          prefix = date_col
  
      # Make sure the field type is a datetime
      if timezone is not None:
          fld = pd.to_datetime(fld, utc=True)
      else:
          fld = pd.to_datetime(fld)
  
      # Convert to local time and then remove time zone information
      if timezone:
          df['utc'] = fld.dt.tz_convert('UTC').dt.tz_localize(None)
          fld = fld.dt.tz_convert(timezone).dt.tz_localize(None)
          df['local'] = fld
  
      # Used for naming the columns
      prefix += '_'
  
      # Basic attributes
      attr = ['Year', 'Month', 'Week', 'Day', 'Dayofweek', 'Dayofyear']
  
      # Additional attributes to extract
      attr = attr + [
          'Is_month_end', 'Is_month_start', 'Is_quarter_end', 'Is_quarter_start',
          'Is_year_end', 'Is_year_start'
      ]
  
      # Time attributes
      attr = attr + ['Hour', 'Minute', 'Second']
  
      # Iterate through each attribute and add it to the dataframe
      for n in attr:
          df[prefix + n] = getattr(fld.dt, n.lower())
  
      # Add fractional time of day
      df[prefix + 'FracDay'] = (df[prefix + 'Hour'] / 24) + (
          df[prefix + 'Minute'] / 60 / 24) + (
              df[prefix + 'Second'] / 60 / 60 / 24)
  
      # Add fractional time of week
      df[prefix + 'FracWeek'] = ((df[prefix + 'Dayofweek'] * 24) +
                                 (df[prefix + 'FracDay'] * 24)) / (7 * 24)
  
      # Drop the column if specified
      if drop:
          if date_col == 'index':
              df = df.reset_index().iloc[:, 1:].copy()
          else:
              df = df.drop(date_col, axis=1)
  
      return df