Python Web Development Libraries 简明教程

app = dash.Dash()
app.layout = html.Div(children=[
   html.H1(children='Hello Dash'),
   html.Div(children='''Dash Framework: A web application framework for Python.''')

<div>
   <h1> Hello Dash </h1>
   <div> Dash Framework: A web application framework for Python. </div>
</div>

# -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html

app = dash.Dash()
app.layout = html.Div(children=[
   html.H1(children='Hello Dash'),
   html.Div(children='''Dash Framework: A web application framework for Python.'''),

   dcc.Graph(
      id='example-graph',
      figure={
         'data': [
            {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'Delhi'},
            {'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Mumbai'},
         ],
         'layout': {
            'title': 'Dash Data Visualization'
         }
      }
   )
])

if __name__ == '__main__':
   app.run_server(debug=True)

127.0.0.1 - - [12/Aug/2018 09:32:39] "GET / HTTP/1.1" 200 -
127.0.0.1 - - [12/Aug/2018 09:32:42] "GET /_dash-layout HTTP/1.1" 200 -
127.0.0.1 - - [12/Aug/2018 09:32:42] "GET /_dash-dependencies HTTP/1.1" 200 -
127.0.0.1 - - [12/Aug/2018 09:32:42] "GET /favicon.ico HTTP/1.1" 200 -
127.0.0.1 - - [12/Aug/2018 09:39:52] "GET /favicon.ico HTTP/1.1" 200 -

# -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html

app = dash.Dash()
colors = {
   'background': '#87D653',
   'text': '#ff0033'
}

app.layout = html.Div(style={'backgroundColor': colors['background']}, children=[
   html.H1(
      children='Hello Dash',
      style={
         'textAlign': 'center',
         'color': colors['text']
      }
   ),

   html.Div(children='Dash: A web application framework for Python.', style={
      'textAlign': 'center',
      'color': colors['text']
   }),

   dcc.Graph(
      id='example-graph-2',

      figure={
         'data': [
            {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'Delhi'},
            {'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Mumbai'},
         ],
         'layout': {
            'plot_bgcolor': colors['background'],
            'paper_bgcolor': colors['background'],
            'font': {
               'color': colors['text']
            }
         }
      }
   )
])

if __name__ == '__main__':
   app.run_server(debug=True)

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd

df = pd.read_csv(
   'https://gist.githubusercontent.com/chriddyp/'
   'c78bf172206ce24f77d6363a2d754b59/raw/'
   'c353e8ef842413cae56ae3920b8fd78468aa4cb2/'
   'usa-agricultural-exports-2011.csv')

def generate_table(dataframe, max_rows=10):
   return html.Table(
      # Header
      [html.Tr([html.Th(col) for col in dataframe.columns])] +
      # Body
      [html.Tr([
         html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
      ]) for i in range(min(len(dataframe), max_rows))]
   )

app = dash.Dash()
app.layout = html.Div(children=[
   html.H4(children='US Agriculture Exports (2011)'),
   generate_table(df)
])

if __name__ == '__main__':
   app.run_server(debug=True)

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objs as go

app = dash.Dash()

df = pd.read_csv(
   'https://gist.githubusercontent.com/chriddyp/' +
   '5d1ea79569ed194d432e56108a04d188/raw/' +
   'a9f9e8076b837d541398e999dcbac2b2826a81f8/'+
   'gdp-life-exp-2007.csv')

app.layout = html.Div([
   dcc.Graph(
      id='life-exp-vs-gdp',
      figure={
         'data': [
            go.Scatter(
               x=df[df['continent'] == i]['gdp per capita'],
               y=df[df['continent'] == i]['life expectancy'],
               text=df[df['continent'] == i]['country'],
               mode='markers',
               opacity=0.7,
               marker={
                  'size': 15,
                  'line': {'width': 0.5, 'color': 'white'}
               },
               name=i
            ) for i in df.continent.unique()
         ],
         'layout': go.Layout(
            xaxis={'type': 'log', 'title': 'GDP Per Capita'},
            yaxis={'title': 'Life Expectancy'},
            margin={'l': 40, 'b': 40, 't': 10, 'r': 10},
            legend={'x': 0, 'y': 1},
            hovermode='closest'
         )
      }
   )
])

if __name__ == '__main__':
   app.run_server()

# -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html

app = dash.Dash()

app.layout = html.Div([
   html.Label('Dropdown'),
   dcc.Dropdown(
      options=[
         {'label': 'New York City', 'value': 'NYC'},
         {'label': u'Montréal', 'value': 'MTL'},
         {'label': 'San Francisco', 'value': 'SF'}
      ],
      value='MTL'
   ),

   html.Label('Multi-Select Dropdown'),
   dcc.Dropdown(
      options=[
         {'label': 'New York City', 'value': 'NYC'},
         {'label': u'Montréal', 'value': 'MTL'},
         {'label': 'San Francisco', 'value': 'SF'}
      ],
      value=['MTL', 'SF'],
      multi=True
   ),

   html.Label('Radio Items'),
   dcc.RadioItems(
      options=[
         {'label': 'New York City', 'value': 'NYC'},
         {'label': u'Montréal', 'value': 'MTL'},
         {'label': 'San Francisco', 'value': 'SF'}
      ],
      value='MTL'
   ),

   html.Label('Checkboxes'),
   dcc.Checklist(
      options=[
         {'label': 'New York City', 'value': 'NYC'},
         {'label': u'Montréal', 'value': 'MTL'},
         {'label': 'San Francisco', 'value': 'SF'}
      ],
      values=['MTL', 'SF']
   ),

   html.Label('Text Input'),
   dcc.Input(value='MTL', type='text'),

   html.Label('Slider'),
   dcc.Slider(
      min=0,
      max=9,
      marks={i: 'Label {}'.format(i) if i == 1 else str(i) for i in range(1, 6)},
      value=5,
   ),
], style={'columnCount': 2})

if __name__ == '__main__':
   app.run_server(debug=True)

>>> help(dcc.Dropdown)
Help on class Dropdown in module builtins:
class Dropdown(dash.development.base_component.Component)
| A Dropdown component.
| Dropdown is an interactive dropdown element for selecting one or more

| items.
| The values and labels of the dropdown items are specified in the `options`
| property and the selected item(s) are specified with the `value` property.
|
| Use a dropdown when you have many options (more than 5) or when you are
| constrained for space. Otherwise, you can use RadioItems or a Checklist,
| which have the benefit of showing the users all of the items at once.
|
| Keyword arguments:
| - id (string; optional)
| - options (list; optional): An array of options
| - value (string | list; optional): The value of the input. If `multi` is false (the default)
-- More --