How to use the traitsui.api.Item function in traitsui

traits_view = tui.View(
        tui.Tabbed(
            tui.VGroup(
                tui.HGroup(
                    tui.Item('current_file', editor=tui.EnumEditor(name='svg_files'),
                        style='simple', width=1.0, show_label=False),
                    tui.Item('move_backward', show_label=False,
                        enabled_when="svg_files.index(current_file) != 0"),
                    tui.Item('move_forward', show_label=False,
                        enabled_when="svg_files.index(current_file) != len(svg_files)-1"),
                ),
                tui.VSplit(
                    tui.HSplit(
                        tui.Item('description', label='Description', show_label=False),
                        tui.Item('current_xml_view', editor=xml_tree_editor, show_label=False),
                    ),
                    tui.HSplit(
                        tui.Item('document', editor=SVGEditor(), show_label=False),
                        tui.Item('kiva_component', show_label=False),
                        tui.Item('ref_component', show_label=False),
                        # TODO: tui.Item('agg_component', show_label=False),
                    ),
                ),
                label='SVG',
            ),
            tui.Item('parsing_sike', style='custom', show_label=False,
                label='Parsing Profile'),
            tui.Item('drawing_sike', style='custom', show_label=False,
                label='Kiva Drawing Profile'),
            tui.Item('wx_doc_sike', style='custom', show_label=False,
                label='Creating WX document'),

loadaddspectype = Enum('wcs','deimos','astropysics')

    titlegroup = HGroup(Item('specleft',show_label=False,enabled_when='currspeci>0'),
                         spring,
                         Label('Spectrum #',height=0.5),
                         Item('currspecip1',show_label=False,editor=RangeEditor(low_name='lowerspecip1',high_name='upperspecip1',mode='spinner')),
                         Item('_titlestr',style='readonly',show_label=False),
                         spring,
                         Item('specright',show_label=False,enabled_when='currspeci<(len(specs)-1)'))

    speclistgroup = HGroup(Label('Spectrum List:'),spring,
                           Item('delcurrspec',show_label=False,enabled_when='len(specs)>1'),
                           Item('saveloadfile',show_label=False),
                           Item('savespeclist',show_label=False),
                           Item('loadspeclist',show_label=False,enabled_when='os.path.exists(saveloadfile)'),
                           Item('loadaddfile',show_label=False),
                           Item('loadaddspec',show_label=False,enabled_when='os.path.exists(saveloadfile)'),
                           Item('loadaddspectype',show_label=False),
                           spring)

    plotformatgroup = HGroup(spring,
                             Item('fluxformat',show_label=False),
                             Item('errformat',show_label=False),
                             Item('scaleerr',label='Scale Error?'),
                             Item('scaleerrfraclow',label='Lower',enabled_when='scaleerr',editor=TextEditor(evaluate=float)),
                             Item('scaleerrfrachigh',label='Upper',enabled_when='scaleerr'),
                             Item('showgrid',label='Grid?'),
                             Item('showcoords',label='Coords?'),
                             spring)

    featuregroup = HGroup(spring,
                          Item('showmajorlines',label='Show major?'),

def traits_view(self):
        v = okcancel_view(Item('mode', tooltip='Normal: get analyses between now and start of pipeline - hours\n'
                                               'Window: get analyses between now and now - hours'),
                          Item('hours'),
                          Item('period', label='Update Period (s)',
                               tooltip='Default time (s) to delay between "check for new analyses"'),
                          Item('mass_spectrometer', label='Mass Spectrometer',
                               editor=EnumEditor(name='available_spectrometers')),
                          Item('analysis_types', style='custom',
                               editor=CheckListEditor(name='available_analysis_types',
                                                      cols=len(self.available_analysis_types))),
                          Item('post_analysis_delay', label='Post Analysis Found Delay',
                               tooltip='Time (min) to delay before next "check for new analyses"'),
                          Item('verbose'),
                          title='Configure',
                          )
        return v

# The foreground color of the renderer.
    foreground_color = Tuple(Range(0., 1.), Range(0., 1.), Range(0., 1.),
                             editor=RGBColorEditor,
                             desc='the foreground color of the scene')

    # Offscreen rendering.
    offscreen = Bool(desc='if mlab should use offscreen rendering'
                          ' (no window will show up in this case)')

    ######################################################################
    # Traits UI view.

    traits_view = View(Group(
                             Item('backend'),
                             Item('background_color'),
                             Item('foreground_color'),
                             Item('offscreen')
                             ),
                       resizable=True
                      )

def traits_view(self):
        errbar_grp = VGroup(HGroup(Item('x_end_caps', label='X End Caps'),
                                   Item('y_end_caps', label='Y End Caps'),
                                   Item('error_bar_nsigma', label='NSigma')),
                            show_border=True,
                            label='Error Bars')

        an_grp = VGroup(Item('analysis_number_sorting', label='Analysis# Order'),
                        Item('global_analysis_number_sorting', label='Global Sort', tooltip='Applicable only when '
                                                                                            'using Aux Grouping'),
                        HGroup(Item('include_group_legend', label='Include Group Legend'),
                               UItem('group_legend_label_attribute', enabled_when='include_group_legend')),
                        HGroup(Item('use_cmap_analysis_number', label='Use Color Mapping'),
                               UItem('cmap_analysis_number', enabled_when='use_cmap_analysis_number')),
                        Item('use_latest_overlay'), show_border=True, label='Analysis #')

        label_grp = VGroup(
            HGroup(Item('label_box'),
                   Item('analysis_label_display',
                        label='Label Format',
                        width=100,
                        style='readonly'),
                   spring,
                   icon_button_editor('edit_label_format_button', 'cog',

def traits_view(self):
        # root_grp = VGroup(Item('root_dir', label='Pychron Directory'),
        #                   show_border=True, label='Root')
        user_grp = VGroup(Item('username',
                               editor=ComboboxEditor(name='_usernames'),
                               label='Name'),
                          show_border=True, label='User')
        env_grp = VGroup(Item('environment', label='Directory'),
                         show_border=True, label='Environment')

        # login_grp = VGroup(Item('use_login', label='Use Login'),
        #                    Item('multi_user', label='Multi User'),
        #                    label='Login', show_border=True)

        o_grp = VGroup(Item('organization', resizable=True, label='Name'),
                       remote_status_item('Laboratory Repo'),
                       show_border=True,
                       label='Organization')

        v = View(VGroup(Item('confirm_quit', label='Confirm Quit',

def traits_view(self):
        v = View(
            VGroup(
            VGroup(
                HGroup(Item('power', tooltip='Hit Enter for change to take effect'),
                       Item('units', style='readonly', show_label=False),
                       spring,
                       Item('pulse_button',
                            editor=ButtonEditor(label_value='pulse_label'),
                            show_label=False,
                            enabled_when='object.enabled')),
                Item('duration', label='Duration (s)', tooltip='Set the laser pulse duration in seconds')),
            VGroup(
                CustomLabel('object.wait_control.message',
                            size=14,
                            weight='bold',
                            color_name='object.wait_control.message_color'),

                HGroup(Spring(width=-5, springy=False),
                       Item('object.wait_control.high', label='Set Max. Seconds'),
                       spring, UItem('object.wait_control.continue_button')),
                HGroup(Spring(width=-5, springy=False),

an_grp = VGroup(Item('analysis_number_sorting', label='Analysis# Sort'),
                        Item('use_cmap_analysis_number'),
                        Item('cmap_analysis_number'),
                        Item('use_latest_overlay'), show_border=True, label='Analysis #')
        label_grp = VGroup(
            HGroup(Item('label_box'),
                   Item('analysis_label_display',
                        label='Label Format',
                        width=100,
                        style='readonly'),
                   icon_button_editor('edit_label_format', 'cog',
                                      tooltip='Open Label maker')),
            self._get_label_font_group(),
            show_border=True, label='Label')
        inset_grp = VGroup(HGroup(Item('display_inset', label='Use'),
                                  Item('inset_location', label='Location'),
                                  Item('inset_width', label='Width'),
                                  Item('inset_height', label='Height')),
                           show_border=True,
                           label='Inset')
        mean_grp = VGroup(HGroup(Item('display_mean_indicator', label='Indicator'),
                                 Item('display_mean', label='Value',
                                      enabled_when='display_mean_indicator'),
                                 Item('display_percent_error', label='%Error',
                                      enabled_when='display_mean_indicator'),
                                 Item('mean_sig_figs', label='SigFigs')),
                          self._get_indicator_font_group(),
                          show_border=True,
                          label='Mean')
        info_grp = HGroup(Item('show_info', label='Show'),
                          Item('show_mean_info', label='Mean', enabled_when='show_info'),

object_column(name='fit',
                              editor=EnumEditor(name='fit_types'),
                              width=75),
                object_column(name='error_type',
                              editor=EnumEditor(name='error_types'),
                              width=75, label='Error'),
                checkbox_column(name='filter_outliers', label='Out.'),
                object_column(name='filter_outlier_iterations', label='Iter.'),
                object_column(name='filter_outlier_std_devs', label='SD'),
                object_column(name='truncate', label='Trunc.'),
                checkbox_column(name='include_baseline_error', label='Inc. BsErr')]

        v = View(VGroup(Item('name', editor=EnumEditor(name='names')),
                        Item('marker', editor=EnumEditor(values=marker_names)),
                        Item('marker_size'),
                        HGroup(Item('ymin', label='Min'),
                               Item('ymax', label='Max'),
                               show_border=True,
                               label='Y Limits'),
                        show_border=True))

        aux_plots_grp = Item('aux_plots',
                             style='custom',
                             show_label=False,
                             editor=myTableEditor(columns=cols,
                                                  sortable=False,
                                                  deletable=False,
                                                  clear_selection_on_dclicked=True,
                                                  edit_on_first_click=False,
                                                  # on_select=lambda *args: setattr(self, 'selected', True),
                                                  # selected='selected',
                                                  edit_view=v,

def traits_view(self):
        v = View(VGroup(Item('consumer_key'),
                        Item('consumer_secret'),
                        Item('access_token_key'),
                        Item('access_token_secret')))
        return v