你好，我想知道如果我要运行一个连续循环并希望它受import os
import color_scale
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import numpy as np
import pandas as pd
import scipy as sp
import sklearn as sk
mapbox_access_token = ''
app = dash.Dash(name=__name__)
app.config.supress_callback_exceptions = True
server = app.server
server.secret_key = os.environ.get('secret_key', 'secret')
# Color scale for heatmap (green-to-red)
color_scale = color_scale.GREEN_RED
# Load styles
css_url = 'https://codepen.io/bullybear/pen/RYbbpW.css'
css_bootstrap_url = 'https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-
alpha.6/css/bootstrap.min.css'
app.css.append_css({
"external_url": [css_bootstrap_url, css_url],
})
df = pd.read_csv('/Users/app_6/horror_films.csv')
#print(df.head())
yearmax = df.groupby('Year', as_index=False)[
'Jump', 'Scary', 'Gore'].max()
yearmean = df.groupby('Year', as_index=False)[
'Jump', 'Scary', 'Gore'].mean()
yearmin = df.groupby('Year', as_index=False)[
'Jump', 'Scary', 'Gore'].min()
year_scores = [yearmax, yearmean, yearmin]
#print(year_scores)
app.layout = html.Div([
# LANDING
html.Div(
className='section',
children=[
html.H1('ARE YOU AFRAID OF THE DARK?', className='landing-
text')
]
),
html.Div(
className='content',
children=[
# SLIDER ROW
html.Div(
className='col',
children=[
html.Div(
id='slider',
children=[
dcc.Slider(
id='date-slider',
min=min(df['Year']),
max=max(df['Year']),
marks={
1974: {'label': '1974'},
1980: {'label': '1980'},
1985: {'label': '1985'},
1990: {'label': '1990'},
1995: {'label': '1995'},
2000: {'label': '2000'},
2005: {'label': '2005'},
2010: {'label': '2010'},
2017: {'label': '2017'},
},
value=1995,
),
],
style={
'background': '#191a1a',
'margin-bottom': '50px'
}
)
],
style={
'background': '#191a1a',
})
]),
# GRAPHS ROW
html.Div(
id='graphs',
className='row',
children=[
html.Div(
className='col-4',
children=[
dcc.Graph(
id='graph-1',
),
]),
html.Div(
className='col-4',
children=[
dcc.Graph(
id='graph-2',
),
]),
html.Div(
className='col-4',
children=[
dcc.Graph(
id='graph-3',
),
])
], style={
'padding-bottom': 100
}
),
# MAP ROW
html.Div(
className='row',
children=[
dcc.Graph(
id='graph-4',
animate=True,
style={
'width': '100%',
'height': 800,
}
),
]),
# ABOUT ROW
html.Div(
className='row',
children=[
html.Div(
className='col',
children=[
html.P(
'Data Extracted From:'
),
html.A(
'Scared To Watch',
href='https://www.scaredtowatch.com/'
)
]
)],
style={
'padding': 40
}
)
])
# CHART 1
@app.callback(
Output('graph-1', 'figure'),
[Input('date-slider', 'value')]
)
def update_graph_1(year_value):
data = go.Data([
go.Scatter(
name='Max Year',
# events qty
x=np.arange(1974, year_value),
# year
y=yearmax,
mode='lines',
marker={
'symbol': 'circle',
'size': 5,
'color': '#eb1054'
},
hoverlabel={
'bgcolor': '#FFF',
},
),
go.Scatter(
name='Mean Year',
# events qty
x=np.arange(1974, year_value + 1),
# year
y=yearmean,
mode='lines',
marker={
'symbol': 'circle',
'size': 5,
'color': '#C2FF0A'
},
hoverlabel={
'bgcolor': '#FFF',
},
),
go.Scatter(
name='Min Year',
# events qty
x=np.arange(1974, year_value + 1),
# year
y=yearmin,
mode='lines',
marker={
'symbol': 'circle',
'size': 5,
'color': '#52e5ec'
},
hoverlabel={
'bgcolor': '#FFF',
},
),
])
layout = go.Layout(
xaxis={
'autorange': True,
'color': '#FFF',
'title': 'Year',
},
yaxis={
'autorange': True,
'color': '#FFF',
'title': 'Score',
},
margin={
'l': 40,
'b': 40,
't': 10,
'r': 0
},
hovermode='closest',
paper_bgcolor='#191a1a',
plot_bgcolor='#191a1a',
)
return go.Figure(
data=data, # 54b4e4
layout=layout
)
# CHART 2
@app.callback(
Output('graph-2', 'figure'),
[Input('date-slider', 'value')]
)
def update_graph_2(year_value):
bars = []
bar = go.Bar(
{'x':df['Film'], 'y': df['IMDB'], 'type': 'bar', 'name':
'IMDB Score'},
{'x':df['Film'], 'y': df['Rotten'], 'type': 'bar', 'name':
'Rotten Tomatoes Score'},
marker=dict(
color='rgb(158,202,225)',
line=dict(
color='rgb(8,48,107)',
width=1.5,
)
),
opacity=0.6
)
bars.append(bar)
data = go.Data(bars,
style={
'color': '#000'})
layout = go.Layout(
yaxis=dict(
title='Year',
autorange=True,
zeroline=True,
gridwidth=1,
zerolinecolor='rgb(255, 255, 255)',
zerolinewidth=2,
),
hoverlabel={
'bgcolor': '#FFF',
'font': {
'color': 'black'
},
},
margin={'l': 40, 'b': 40, 't': 10, 'r': 0},
hovermode='closest',
paper_bgcolor='#191a1a',
plot_bgcolor='#191a1a',
)
return go.Figure(
data=data,
layout=layout
)
@app.callback(
Output('graph-3', 'figure'),
[Input('date-slider', 'value')]
)
def update_graph_3(year_value):
dff = df[df['Year'] == year_value]
data = go.Data([
go.Scatter(
x=dff['Gore'],
y=dff['Jump'],
text=dff['Film'],
mode='markers',
marker={
'symbol': 'circle',
'size': dff['Scary'],
'color': '#C2FF0A'
},
hoverlabel={
'bgcolor': '#FFF',
'font': {
'color': 'black'
},
},
)
],
style={
'color': '#FFF'})
layout = go.Layout(
autosize=True,
xaxis={
'color': '#FFF',
'autorange': True,
'title': Gore,
},
yaxis={
'color': '#FFF',
'autorange': True,
'title': Jump,
},
margin={'l': 40, 'b': 40, 't': 10, 'r': 0},
hovermode='closest',
paper_bgcolor='#191a1a',
plot_bgcolor='#191a1a',
)
return go.Figure(
data=data,
layout=layout
)
@app.callback(
Output('graph-4', 'figure'),
[Input('date-slider', 'value')]
)
def update_graph_4(year_value):
dff = df[df['Year'] == year_value]
data = go.Data([
go.Scattermapbox(
lat=dff['lat'],
lon=dff['lon'],
mode='markers',
marker=go.Marker(
size=dff['Scary'],
colorscale=color_scale,
cmin=dff['Scary'].min(),
color=dff['Scary'],
cmax=dff['Scary'].max(),
colorbar=dict(
title='Total Scares Across The Globe'
),
opacity=0.5
),
text=dff['Film'],
hoverlabel={
'bordercolor': 'transparent',
'font': {
'color': '#FFF'
}
}
)
],
style={
'height': 800
}
)
layout = go.Layout(
autosize=True,
hovermode='closest',
mapbox=dict(
accesstoken=mapbox_access_token,
bearing=0,
pitch=0,
zoom=1.8,
style='dark'
),
paper_bgcolor='#191a1a',
plot_bgcolor='#191a1a',
)
return go.Figure(
data=data,
layout=layout
)
# Run Dash Server
if __name__ == '__main__':
app.run_server(debug=True)
子句保护，那将是一种好的/最佳方法，但是一旦抛出异常，我想回到循环。更具体地说，循环是从套接字中获取数据，然后将数据放入数据库中。如果数据库抛出异常，我不想关闭套接字。
当前版本：
try-catch如您所见，此版本始终进入while(true){
try
{
socket.ReadAsync(....)
----database operation that can throw---
socket.SendAsync(....)
}
catch
{
---socket.SendAsync(--cause of error on db--)
}
}
块。
我当时正在考虑使用try-catch语句
goto性能是否存在问题？`
try
{
//goto label
while(true){
socket.ReadAsync(....)
----database operation that can throw---
socket.SendAsync(....)
}
}
catch
{
---socket.SendAsync(--cause of error on db--);
goto --back in loop
}
}
版本会更快吗？