'width': '75%', 'float': 'left' }) ]), html.Div( className='four columns', children=[ dcc.Tabs( id='tabs', children=[ dcc.Tab(label='Control Panel', children=[ drc.NamedDropdown( name='Layout', id='dropdown-layout', options=drc.DropdownOptionsList( 'random', 'grid', 'circle', 'concentric', 'breadthfirst', 'cose'), value='cose', clearable=False), drc.NamedDropdown( name='Node Shape', id='dropdown-node-shape', value='ellipse', clearable=False, options=drc.DropdownOptionsList( 'ellipse', 'triangle', 'rectangle', 'diamond', 'pentagon', 'hexagon',
def genMainNav(self): dataDict = self.currentBlogInfo.copy() dataDict['data-buttons'] = (0,0,0) for k in ['data-updateIndex', 'data-updateTag', 'data-updateType', 'data-updateBlog', 'data-updateButtonIndex']: dataDict[k] = 0 nav = html.Div([ html.Div(id='state_container', style={'display': 'none'}, **dataDict, ), html.Div([ drc.NamedDropdown( name = 'Blog', id = 'blog_selector', options=[{'value' : n, 'label' : n} for n in self.names], value=self['data-blogName'], ), #drc.NamedDropdown( # name = 'Tag Filter', # id = 'tag_filter', # options=self.genCurrentTagOptions(withNum = False), # value='None', # multi = True, #), drc.NamedDropdown( name = 'Tags', id = 'tags_selector', options=self.genTypeTags(withNum = True), value='None', ), drc.NamedSlider( name = 'Post', id = 'post_selector', min = 0, max = self['data-maxIndex'], step = 1, value = 0, marks = self.genPostSelectorMarks(), updatemode = 'mouseup', ), drc.NamedRadioItems( name = 'Type', id = 'type_selector', options = self.genTypesDict(), value = self['data-postType'], ), html.Button(id='previous_button', n_clicks=0, children='Previous'), html.Button(id='next_button', n_clicks=0, children='Next'), drc.NamedDropdown( name = 'Current Tags', id = 'current_tags', options=self.genCurrentTagOptions(withNum = False), value=self['data-postTag'], multi = True, ), ], className = 'sidenav'), html.Div([ self.currentHTML(), ], id = 'tumblr_entry') ]) return nav
children=drc.NamedDropdown( name='Select Dataset', id='dropdown-dataset', options=[ { 'label': 'Arctan Curve', 'value': 'tanh' }, { 'label': 'Boston (LSTAT Attribute)', 'value': 'boston' }, { 'label': 'Custom Data', 'value': 'custom' }, { 'label': 'Exponential Curve', 'value': 'exp' }, { 'label': 'Linear Curve', 'value': 'linear' }, { 'label': 'Log Curve', 'value': 'log' }, { 'label': 'Sine Curve', 'value': 'sin' }, ], value='linear', clearable=False, searchable=False)),
]), html.Div( [ #Columns html.Div([ drc.Card([ drc.NamedRadioItems( name='Data Type', id='data-type-radio', options=localDB.dataTypeDict, value=localDB.dataTypeDict[2]['value'], ), drc.NamedDropdown( name='Sources (max 5)', id='dataset-dropdown', options=localDB.buildingsDict, clearable=False, searchable=True, multi=True, ), drc.NamedRadioItems( name='Interval', id='data-interval-radio', options=localDB.intervalOptions, value=localDB.intervalOptions[2]['value'], ), html.Button('Update', id='update-button'), html.A('Download Data', id='download-link', href='', style={'display': 'block'}) ])
'float': 'left' }) ]), html.Div( className='four columns', children=[ dcc.Tabs( id='tabs', children=[ dcc.Tab(label='Control Panel', children=[ drc.NamedDropdown( name='Layout', id='dropdown-layout', options=drc.DropdownOptionsList( 'random', 'grid', 'circle', 'concentric', 'breadthfirst', 'cose', 'cose-bilkent', 'dagre', 'cola', 'klay', 'spread', 'euler'), value='grid', clearable=False), drc.NamedRadioItems( name='Expand', id='radio-expand', options=drc.DropdownOptionsList( 'followers', 'following'), value='followers') ]), dcc.Tab( label='JSON', children=[ html.Div(style=styles['tab'],
children=drc.NamedDropdown( name='Select Feature', id='dropdown-feature', options=[ { 'label': 'INDUS', 'value': 'INDUS' }, { 'label': 'LSTAT', 'value': 'LSTAT' }, { 'label': 'Custom Data', 'value': 'custom' }, { 'label': 'NOX', 'value': 'NOX' }, { 'label': 'RM', 'value': 'RM' }, { 'label': 'AGE', 'value': 'AGE' }, { 'label': 'TAX', 'value': 'TAX' }, ], value='LSTAT', clearable=False, searchable=False, )),
'height': '95vh', 'width': '100%' }) ]), html.Div( className='four columns', children=[ dcc.Tabs( id='tabs', children=[ dcc.Tab(label='Control Panel', children=[ drc.NamedDropdown( name='Layout', id='dropdown-layout', options=drc.DropdownOptionsList( 'random', 'grid', 'circle', 'concentric', 'breadthfirst', 'cose'), value='grid', clearable=False), drc.NamedRadioItems( name='Expand', id='radio-expand', options=drc.DropdownOptionsList( 'followers', 'following'), value='followers') ]), dcc.Tab(label='JSON', children=[ html.Div( style=styles['tab'], children=[
import dash_reusable_components as drc from .constants import LABEL_ELEMENT_TYPES, LABEL_ELEMENT_TYPES_ALL, ELEMENTS user_interface = html.Div( style={ "height": "calc(100vh - 90px)", "overflow-y": "auto", "overflow-x": "hidden", }, children=[ drc.SectionTitle(title="Elements", size=3, color="white"), drc.Card([ drc.NamedDropdown( name="Select an element list", id="dropdown-select-element-list", options=drc.DropdownOptionsList(*ELEMENTS.keys()), value="Basic", clearable=False, ) ]), drc.SectionTitle(title="Layout", size=3, color="white"), drc.NamedCard( title="Layout", size=4, children=[ drc.NamedDropdown( name="Layout", id="dropdown-layout", options=drc.DropdownOptionsList( "null", "random",
def get_tab_cytoscape_layout(): styles = { 'json-output': { 'overflow-y': 'scroll', 'height': 'calc(50% - 25px)', 'border': 'thin lightgrey solid' }, 'tab': { 'height': 'calc(98vh - 105px)' } } component = dcc.Tab( label='cytoscape', children=[ html.Div([ html.Div( className='four columns', children=[ dcc.Tabs( id='tabs', children=[ dcc.Tab( label='Control Panel', children=[ drc.NamedDropdown( name='Layout', id='dropdown-layout', options=drc.DropdownOptionsList( 'random', 'grid', 'circle', 'concentric', 'breadthfirst', 'cose'), value='grid', clearable=False), drc.NamedDropdown( name='Node Shape', id='dropdown-node-shape', value='ellipse', clearable=False, options=drc.DropdownOptionsList( 'ellipse', 'triangle', 'rectangle', 'diamond', 'pentagon', 'hexagon', 'heptagon', 'octagon', 'star', 'polygon', )), drc.NamedInput( name='Followers Color', id='input-follower-color', type='text', value='#0074D9', ), drc.NamedInput( name='Following Color', id='input-following-color', type='text', value='#FF4136', ), ]), dcc.Tab( label='JSON', children=[ html.Div( style=styles['tab'], children=[ html.P('Node Object JSON:'), html.Pre( id='tap-node-json-output', style=styles['json-output'] ), html.P('Edge Object JSON:'), html.Pre( id='tap-edge-json-output', style=styles['json-output'] ) ]) ]) ]), ]), html.Div( className='eight columns', children=[ cyto.Cytoscape( id='cytoscape', # elements=cy_edges + cy_nodes, style={ 'height': '95vh', 'width': '100%' }) ]), ]) ]) return component
def serve_layout(): # Generates a session ID session_id = str(uuid.uuid4()) # Post the image to the right key, inside the bucket named after the # session ID store_image_string(utils.IMAGE_STRING_PLACEHOLDER, session_id) # App Layout return html.Div( id="root", children=[ # Session ID html.Div(session_id, id="session-id"), html.Div(id="left", children=[ drc.Card(id="first-card", children=[ drc.NamedDropdown( name="Select Custom Model", id="dropdown-select-dataset", options=[ { "label": "Naive", "value": "naive" }, { "label": "Covid-net", "value": "covid", }, { "label": "U-net", "value": "unet", }, ], clearable=False, searchable=False, value="moons", ), html.P(children="Pneumonia detection"), dcc.RadioItems( id="classification-task", labelStyle={ "margin-right": "7px", "display": "inline-block", }, options=[ { "label": "Enabled", "value": "True", }, { "label": " Disabled", "value": "False", }, ], value="True", ), ]) ]), # Main body html.Div( id="app-container", children=[ # Banner display html.Div( id="banner", children=[ html.A( "X-ray Chest Images for Covid-19 Detection", href= "https://gitlab.com/yotta-academy/cohort-2020/projects/dl-projects/ej-crowd-detection", id="title", style={ "text-decoration": "none", }, ), ], ), html.Div( id="image", children=[ # The Interactive Image Div contains the dcc Graph # showing the image, as well as the hidden div storing # the true image html.Div( id="div-interactive-image", children=[ utils.GRAPH_PLACEHOLDER, html.Div( id="div-storage", children=utils.STORAGE_PLACEHOLDER, ), ], ) ], ), ], ), # Sidebar html.Div( id="sidebar", children=[ drc.Card([ dcc.Upload( id="upload-image", children=[ "Drag and Drop or ", html.A(children="Select an Image"), ], # No CSS alternative here style={ "color": "darkgray", "width": "100%", "height": "50px", "lineHeight": "50px", "borderWidth": "1px", "borderStyle": "dashed", "borderRadius": "5px", "borderColor": "darkgray", "textAlign": "center", "padding": "2rem 0", "margin-bottom": "2rem", }, accept="image/*", ), drc.NamedInlineRadioItems( name="Selection Mode", short="selection-mode", options=[ { "label": " Rectangular", "value": "select" }, { "label": " Lasso", "value": "lasso" }, ], val="select", ), drc.NamedInlineRadioItems( name="Image Display Format", short="encoding-format", options=[ { "label": " JPEG", "value": "jpeg" }, { "label": " PNG", "value": "png" }, ], val="jpeg", ), ]), drc.Card([ drc.CustomDropdown( id="dropdown-filters", options=[ { "label": "Blur", "value": "blur" }, { "label": "Contour", "value": "contour" }, { "label": "Detail", "value": "detail" }, { "label": "Enhance Edge", "value": "edge_enhance" }, { "label": "Enhance Edge (More)", "value": "edge_enhance_more", }, { "label": "Emboss", "value": "emboss" }, { "label": "Find Edges", "value": "find_edges" }, { "label": "Sharpen", "value": "sharpen" }, { "label": "Smooth", "value": "smooth" }, { "label": "Smooth (More)", "value": "smooth_more" }, ], searchable=False, placeholder="Basic Filter...", ), drc.CustomDropdown( id="dropdown-enhance", options=[ { "label": "Brightness", "value": "brightness" }, { "label": "Color Balance", "value": "color" }, { "label": "Contrast", "value": "contrast" }, { "label": "Sharpness", "value": "sharpness" }, ], searchable=False, placeholder="Enhance...", ), html.Div( id="div-enhancement-factor", children=[ f"Enhancement Factor:", html.Div(children=dcc.Slider( id="slider-enhancement-factor", min=0, max=2, step=0.1, value=1, updatemode="drag", )), ], ), html.Div( id="button-group", children=[ html.Button("Run Operation", id="button-run-operation"), html.Button("Undo", id="button-undo"), ], ), ]), dcc.Graph( id="graph-histogram-colors", figure={ "layout": { "paper_bgcolor": "#272a31", "plot_bgcolor": "#272a31", } }, config={"displayModeBar": False}, ), ], ), ], )
drc.NamedDropdown(name='Select Dataset', id='dropdown-dataset', options=[ { 'label': 'Arctan Curve', 'value': 'tanh' }, { 'label': 'Boston (LSTAT Attribute)', 'value': 'boston' }, { 'label': 'Custom Data', 'value': 'custom' }, { 'label': 'Exponential Curve', 'value': 'exp' }, { 'label': 'Linear Curve', 'value': 'linear' }, { 'label': 'Log Curve', 'value': 'log' }, { 'label': 'Sine Curve', 'value': 'sin' }, ], value='linear', clearable=False, searchable=False),
dataDict = Backend.currentBlogInfo.copy() dataDict['data-buttons'] = (0, 0, 0) dataDict['data-update'] = 0 app.layout = html.Div([ html.Div( id='state_container', style={'display': 'none'}, **dataDict, ), html.Div([ drc.NamedDropdown( name='Blog', id='blog_selector', options=[{ 'value': n, 'label': n } for n in Backend.names], value=Backend['data-blogName'], ), drc.NamedDropdown( name='Tags', id='tags_selector', options=Backend.genCurrentTagOptions(withNum=True), value='None', ), drc.NamedSlider( name='Post', id='post_selector', min=0, max=Backend['data-maxIndex'],
def server_layout(mode=None): #return the layout of the GUI session_id = str(uuid.uuid4()) #variable, distribution selection panel selection_panel = html.Div(id='selection-panel',children=[ html.Div(id='selected-column-panel',children=[ html.Div(id='selected-column-sec1-panel',children=[ drc.NamedDropdown( name='Select series', id='selected-series', searchable=False, clearable=False ), dcc.Checklist( id='apply-log-transform', options=[{'label':' Apply log transform','value':'logtransform'} ]), ]), drc.NamedTextarea( id='series-characteristics', name='Series characteristics', cols='50', rows='2', readOnly='readOnly' ), ]), html.Div(id='apply-panel',children=[ html.Div(id='apply-sec1-panel',children=[ drc.NamedDropdown( id='fitted-distributions', name='Fitted distribution', options=[ {'label': ' '+ v[0], 'value': k} for k,v in dist_par_template.items() if k != 'native' and v[2] ], value='normal', searchable=False, clearable=False ), ]), # html.Div(id='apply-sec1b-panel',children=[ # drc.NamedDropdown( # id='plotting-distributions', # name='Probability scale', # options=[ # {'label': ' '+ v[0], 'value': k} # for k,v in dist_par_template.items() if v[2] # ], # value='native', # searchable=False, # clearable=False # ), # ]), html.Div(id='apply-sec2a-panel',children=[ html.Button('Fit',id='fit-button',n_clicks=0), ]), #dcc.Checklist( # id='show-y-log', # options=[{'label':' Show y-axis in log scale','value':'true'} #]), ]), html.Label(id='graph-refresh'), dcc.Store( id='graph-refresh-hidden', data=0 ), html.Div(id='message-panel',children=[""]), ]) #variable, distribution selection panel par_panel = html.Div(id='fitted-panel',children=[ html.Div(id='fitted-sec1-panel',children=[ drc.NamedTextarea( id='fitted-par', name='Estimated distribution parameters', readOnly='readOnly', cols= 40, rows= 3 ), drc.NamedTextarea( id='estimated-quantiles', name='Estimated quantiles', readOnly='readOnly', cols= 40, rows= 3 ), ]) ]) upload_panel = html.Div(id='last-card',children=[ dcc.Upload( id='upload-data', children=html.Div([ 'Drag and Drop or ', html.A('Select File') ]), style={ 'lineHeight': '60px', 'borderWidth': '1px', 'borderStyle': 'dashed', 'borderRadius': '5px', 'textAlign': 'center', } ), html.Label('''File upload limited to < %0.0f Kb, containing no more than %d rows and %d columns'''%(configs['max_file_size']/1024,configs['max_file_rows'],configs['max_file_cols'])), html.Label('',id='data-filename'), html.Label('',id='data-description'), html.Div(id='table-panel',children=[ dash_table.DataTable( id='attribute-table', columns=[], row_selectable='multi', editable=False, style_header={ 'textAlign': 'center', 'fontWeight': 'bold', 'color': 'black', }, style_cell={ 'padding': '2px', '--selected-background': 'grey', 'color': 'black', }, style_data_conditional=[ { 'if': {'row_index': 'odd'}, 'backgroundColor': 'rgb(248, 248, 248)' } ], #locale_format= '0.3', ) ],style={'visibility':'none','display':'none'}), ]) chart_panel = html.Div(id='chart-panel',children=[ dcc.Loading(id = "loading-icon", children=[ dcc.Graph( id='graph', figure={ }, responsive=True, config=graph_config, style={'display':'none'} ) ]), ], style={'visibility':'none'}) layout = html.Div( id="body", className="container scalable", children=[ visdcc.Run_js(id = 'chart-updated-js'), visdcc.Run_js(id = 'chart-unupdated-js'), visdcc.Run_js(id = 'error-display-js'), dcc.Store(id='error-display',data=''), html.Title(title=configs['title']), #hidden session id #row 1 for title html.Div(id='top-panel',children=[ html.H5(id='app-title',children= '''Distribution Fitting and Analysis Tool. This tool is only for demostration porpuses''', style={"margin-bottom": "0px"}, ), ],className="row flex-display"), #second row layout html.Div(id='main-panel',children=[ html.Div(id='left-panel',children=[ upload_panel ]), html.Div(id='output-panel',children=[ selection_panel, par_panel, chart_panel ],style={'visibility':'none','display':'none'}), ]), #row 4 is the footer html.Div(id='footer-panel',children=[ ''' A web application built on top of Dash (v%s) (framework for Python) by Exequiel SepĂșlveda and Dmitri Kavetski.'''%(dash.__version__) ]), ], ) return layout