如何为下拉菜单修复 plotly-dash 中的“回调错误”
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【中文标题】如何为下拉菜单修复 plotly-dash 中的“回调错误”【英文标题】:How to fix 'Callback Error' in plotly-dash for a Dropdown Menu 【发布时间】:2019-10-06 12:30:49 【问题描述】:我已尝试重新创建网络上显示的以下示例 Towards Data Science Example
我编写了以下代码并对此进行了修改:
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import pandas as pd
import plotly.graph_objs as go
# Step 1. Launch the application
app = dash.Dash()
# Step 2. Import the dataset
filepath = 'https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv'
st = pd.read_csv(filepath)
# range slider options
st['Date'] = pd.to_datetime(st.Date)
dates = ['2015-02-17', '2015-05-17', '2015-08-17', '2015-11-17',
'2016-02-17', '2016-05-17', '2016-08-17', '2016-11-17', '2017-02-17']
features = st.columns[1:-1]
opts = ['label' : i, 'value' : i for i in features]
# Step 3. Create a plotly figure
trace_1 = go.Scatter(x = st.Date, y = st['AAPL.High'],
name = 'AAPL HIGH',
line = dict(width = 2,
color = 'rgb(229, 151, 50)'))
layout = go.Layout(title = 'Time Series Plot',
hovermode = 'closest')
fig = go.Figure(data = [trace_1], layout = layout)
# Step 4. Create a Dash layout
app.layout = html.Div([
# a header and a paragraph
html.Div([
html.H1("This is a Test Dashboard"),
html.P("Dash is great!!")
],
style = 'padding' : '50px' ,
'backgroundColor' : '#3aaab2'),
# adding a plot
dcc.Graph(id = 'plot', figure = fig),
# dropdown
html.P([
html.Label("Choose a feature"),
dcc.Dropdown(
id='opt',
options=opts,
value=features[0],
multi=True
),
# range slider
html.P([
html.Label("Time Period"),
dcc.RangeSlider(id = 'slider',
marks = i : dates[i] for i in range(0, 9),
min = 0,
max = 8,
value = [1, 7])
], style = 'width' : '80%',
'fontSize' : '20px',
'padding-left' : '100px',
'display': 'inline-block')
])
])
# Step 5. Add callback functions
@app.callback(Output('plot', 'figure'),
[Input('opt', 'value'),
Input('slider', 'value')])
def update_figure(input1, input2):
# filtering the data
st2 = st[(st.Date > dates[input2[0]]) & (st.Date < dates[input2[1]])]
# updating the plot
trace_1 = go.Scatter(x = st2.Date, y = st2['AAPL.High'],
name = 'AAPL HIGH',
line = dict(width = 2,
color = 'rgb(229, 151, 50)'))
trace_2 = go.Scatter(x = st2.Date, y = st2[input1],
name = input1,
line = dict(width = 2,
color = 'rgb(106, 181, 135)'))
fig = go.Figure(data = [trace_1, trace_2], layout = layout)
return fig
# Step 6. Add the server clause
if __name__ == '__main__':
app.run_server(debug = True)
它运行并初始化一切正常,直到我更改下拉菜单中的输入。产生了一个回调错误,我不知道它来自哪里。
应用程序在本地运行并在所有列中正常显示下拉菜单,更改下拉菜单的输入会出现问题。
错误如下:
ValueError:
Invalid value of type 'builtins.list' received for the 'name' property of scatter
Received value: ['AAPL.Open', 'AAPL.Close']
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Traceback (most recent call last):
File "C:\test\Anaconda\lib\site-packages\flask\app.py", line 2309, in __call__
return self.wsgi_app(environ, start_response)
File "C:\test\Anaconda\lib\site-packages\flask\app.py", line 2295, in wsgi_app
response = self.handle_exception(e)
File "C:\test\Anaconda\lib\site-packages\flask\app.py", line 1741, in handle_exception
reraise(exc_type, exc_value, tb)
File "C:\test\Anaconda\lib\site-packages\flask\_compat.py", line 35, in reraise
raise value
File "C:\test\Anaconda\lib\site-packages\flask\app.py", line 2292, in wsgi_app
response = self.full_dispatch_request()
File "C:\test\Anaconda\lib\site-packages\flask\app.py", line 1815, in full_dispatch_request
rv = self.handle_user_exception(e)
File "C:\test\Anaconda\lib\site-packages\flask\app.py", line 1718, in handle_user_exception
reraise(exc_type, exc_value, tb)
File "C:\test\Anaconda\lib\site-packages\flask\_compat.py", line 35, in reraise
raise value
File "C:\test\Anaconda\lib\site-packages\flask\app.py", line 1813, in full_dispatch_request
rv = self.dispatch_request()
File "C:\test\Anaconda\lib\site-packages\flask\app.py", line 1799, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
File "C:\test\Anaconda\lib\site-packages\dash\dash.py", line 1152, in dispatch
response.set_data(self.callback_map[output]['callback'](*args))
File "C:\test\Anaconda\lib\site-packages\dash\dash.py", line 1038, in add_context
output_value = func(*args, **kwargs)
File "C:\Users\Dash\Dash\test.py", line 87, in update_figure
color = 'rgb(106, 181, 135)'))
File "C:\test\Anaconda\lib\site-packages\plotly\graph_objs\__init__.py", line 37455, in __init__
self['name'] = name if name is not None else _v
File "C:\test\Anaconda\lib\site-packages\plotly\basedatatypes.py", line 3166, in __setitem__
self._set_prop(prop, value)
File "C:\test\Anaconda\lib\site-packages\plotly\basedatatypes.py", line 3407, in _set_prop
raise err
File "C:\test\Anaconda\lib\site-packages\plotly\basedatatypes.py", line 3402, in _set_prop
val = validator.validate_coerce(val)
File "C:\test\Anaconda\lib\site-packages\_plotly_utils\basevalidators.py", line 1005, in validate_coerce
self.raise_invalid_val(v)
File "C:\test\Anaconda\lib\site-packages\_plotly_utils\basevalidators.py", line 277, in raise_invalid_val
valid_clr_desc=self.description()))
ValueError:
Invalid value of type 'builtins.list' received for the 'name' property of scatter
Received value: ['AAPL.Open', 'AAPL.Close']
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
【问题讨论】:
请发布回调错误,例如Key Error or Value Error
以及在使用的库的一堆代码行中引用文件中的行的行。那我就可以帮忙了。 :)
第一个猜测:回调返回错误。给我几分钟,我会找出问题并回复你!
我添加了我得到的错误
【参考方案1】:
工作代码
您的错误在第 85 行。您只能将字符串或数字传递给 name
属性。我刚刚添加了 pythons str()
函数将input1
传输到字符串。 :)
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import pandas as pd
import plotly.graph_objs as go
# Step 1. Launch the application
app = dash.Dash()
# Step 2. Import the dataset
filepath = 'https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv'
st = pd.read_csv(filepath)
# range slider options
st['Date'] = pd.to_datetime(st.Date)
dates = ['2015-02-17', '2015-05-17', '2015-08-17', '2015-11-17',
'2016-02-17', '2016-05-17', '2016-08-17', '2016-11-17', '2017-02-17']
features = st.columns[1:-1]
opts = ['label' : i, 'value' : i for i in features]
# Step 3. Create a plotly figure
trace_1 = go.Scatter(x = st.Date, y = st['AAPL.High'],
name = 'AAPL HIGH',
line = dict(width = 2,
color = 'rgb(229, 151, 50)'))
layout = go.Layout(title = 'Time Series Plot',
hovermode = 'closest')
fig = go.Figure(data = [trace_1], layout = layout)
# Step 4. Create a Dash layout
app.layout = html.Div([
# a header and a paragraph
html.Div([
html.H1("This is a Test Dashboard"),
html.P("Dash is great!!")
],
style = 'padding' : '50px' ,
'backgroundColor' : '#3aaab2'),
# adding a plot
dcc.Graph(id = 'plot', figure = fig),
# dropdown
html.P([
html.Label("Choose a feature"),
dcc.Dropdown(
id='opt',
options=opts,
value=features[0],
multi=True
),
# range slider
html.P([
html.Label("Time Period"),
dcc.RangeSlider(id = 'slider',
marks = i : dates[i] for i in range(0, 9),
min = 0,
max = 8,
value = [1, 7])
], style = 'width' : '80%',
'fontSize' : '20px',
'padding-left' : '100px',
'display': 'inline-block')
])
])
# Step 5. Add callback functions
@app.callback(Output('plot', 'figure'),
[Input('opt', 'value'),
Input('slider', 'value')])
def update_figure(input1, input2):
# filtering the data
st2 = st[(st.Date > dates[input2[0]]) & (st.Date < dates[input2[1]])]
# updating the plot
trace_1 = go.Scatter(x = st2.Date, y = st2['AAPL.High'],
name = 'AAPL HIGH',
line = dict(width = 2,
color = 'rgb(229, 151, 50)'))
trace_2 = go.Scatter(x = st2.Date, y = st2[input1],
name = str(input1),
line = dict(width = 2,
color = 'rgb(106, 181, 135)'))
fig = go.Figure(data = [trace_1, trace_2], layout = layout)
return fig
# Step 6. Add the server clause
if __name__ == '__main__':
app.run_server(debug = True)
【讨论】:
谢谢,解决了回调错误。不幸的是,我遇到了一个新问题。当我添加几列时,它不会使用新数据更新绘图,因为它将数据作为字符串读取。 “几列”是什么意思?您的意思是您要向dates
列表添加新日期? :)
我在下拉菜单中添加了一些“功能”。它不会绘制它们
将第 22 行更改为 features = st.columns
显然,除了“name=str”问题之外,现在还有一个不同的问题。似乎它没有正确更新添加的功能。更改第 22 行并不能解决问题。【参考方案2】:
回调错误快速修复
callback
出现类似错误。简单的dash
更新就解决了。
pip install dash --upgrade
【讨论】:
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