我有这段代码，几个月前就可以运行。没有错误，但是现在当我点击上传按钮时不再响应。由于没有错误，我无法解决发生的问题。我还尝试使用plotly的示例：https://dash.plotly.com/dash-core-components/upload但代码仍然不起作用。有人遇到同样的问题吗
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = Dash(__name__, external_stylesheets=external_stylesheets)
# if deploy onto a server
server = app.server
# create a background template for plots
templates = ['plotly', 'seaborn', 'simple_white', 'ggplot2',
'plotly_white', 'plotly_dark', 'presentation', 'xgridoff',
'ygridoff', 'gridon', 'none']
# create a blank figure to prevent plotly dash error when runnng the app, even though it still works without this.
def blankfigure():
figure = go.Figure(go.Scatter(x=[],y=[]))
figure.update_layout(template = None)
figure.update_xaxes(showgrid = False, showticklabels = False, zeroline = False)
figure.update_yaxes(showgrid = False, showticklabels = False, zeroline = False)
return figure
app.layout = html.Div([
# components for label and input content by user
dbc.Row([dbc.Col(html.H1('Plotter App', style={'textAlign': 'center', "font-size":"60px"}))]), # title
# components for upload file
dbc.Row([dbc.Col(html.Label('Upload file') ,style={'textAlign': 'left',"font-size":"30px"})]),
dbc.Row([dcc.Upload(id='upload-data',children=html.Div(['Drag and Drop or ',html.A('Select Files')]),
style={
'width': '30%',
'height': '60px',
'lineHeight': '60px',
'borderWidth': '1px',
'borderStyle': 'dashed',
'borderRadius': '5px',
'textAlign': 'center',
'margin': '10px'
},
# Allow multiple files to be uploaded
multiple=False)
]),
html.Div(id='output-data-upload', children = ''),
# component for radio button for show/hide table
dbc.Row([dcc.RadioItems(id = 'show_hide_table_button', options = ['show_table', 'hide_table','show_plot'], value = 'hide')]),
])
def parse_contents(contents, file_name): # 'contents/filename' property is needed for callbacks
content_type, content_string = contents.split(',')
#print(content_type)
decoded = base64.b64decode(content_string)
#print(decoded)
if 'csv' in file_name:
# Assume that the user uploaded a CSV file
df = pd.read_csv(io.StringIO(decoded.decode('utf-8')))
elif 'xls' in file_name:
# Assume that the user uploaded an excel file
df = pd.read_excel(io.BytesIO(decoded))
elif 'txt' in file_name:
# Assume that the user uploaded an text file
# 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte -> USE utf-16
df = pd.read_csv(io.StringIO(decoded.decode('utf-16')), delimiter = '\t') # \t separates columns separated by tabs
return df
@app.callback(
Output('output-data-upload', 'children'),
[Input('upload-data', 'contents'), # refer to first arg in upload_data_file()
Input('upload-data', 'filename'), # refer to 2nd arg in upload_data_file()
Input(component_id = 'show_hide_table_button', component_property = 'value')] # refer to 3rd arg in upload_data_file()
#State('upload-data', 'last_modified'),
#prevent_initial_call=True
)
def upload_data_file(contents, file_name, display):
show_table = html.Div()
show_plot = html.Div()
global uploaded_df
if contents is not None:
uploaded_df = parse_contents(contents, file_name) # dataframe object
dropdown = uploaded_df.columns
show_table = html.Div([
dbc.Row([dbc.Col([html.H5(file_name)])]),
# show data table
dbc.Row([dbc.Col([dash_table.DataTable(data=uploaded_df.to_dict('rows'), columns=[{"name": i, "id": i} for i in uploaded_df.columns])])]),
])
show_plot = html.Div([
# component for show dropdown options
dbc.Row([dbc.Col(html.Label('Select x-axis from dropdown'), width=2), #width = between Cols
dbc.Col(dcc.Dropdown(id = 'xaxis_column', options = dropdown, value = None)),
dbc.Col(html.Label('Select x-axis from dropdown'), width=2), #width = between Cols
dbc.Col(dcc.Dropdown(id = 'xaxis_column1', options = dropdown, value = None)),
]),
dbc.Row([dbc.Col(html.Label('Select y-axis from dropdown'), width=2),
dbc.Col(dcc.Dropdown(id = 'yaxis_column', options = dropdown, value = None, multi = True)),
dbc.Col(html.Label('Select y-axis from dropdown'), width=2),
dbc.Col(dcc.Dropdown(id = 'yaxis_column1', options = dropdown, value = None, multi = True)),
]),
# component for output graph(s) when data is uploaded
dbc.Row([dbc.Col(dcc.RadioItems(id='template', options = [{'label': k, 'value': k} for k in templates], value = None, inline=True)),
dbc.Col(dcc.RadioItems(id='template1', options = [{'label': k, 'value': k} for k in templates], value = None, inline=True)), # grid style
]), # grid style
html.Br(),
# components for graph, graph options, and download data from plot (for two plots)
dbc.Row([dbc.Col(dcc.Graph(id="graph", figure=blankfigure())),
dbc.Col(dcc.Graph(id="graph1", figure=blankfigure()))
]),
dbc.Row([dbc.Col(dcc.Dropdown(id = 'plot_type', options = ['scatter,','line','bar','box'], value = 'line', style={'font-size':20})),
dbc.Col(dcc.Dropdown(id = 'plot_type1', options = ['scatter','line','bar','box'], value = 'line', style={'font-size':20})),
]),
])
# connecting radio button options with output of upload button
if display == 'show':
return show_table
if display == 'hide_table':
return None
if display == 'show_plot':
return show_plot
这以前有效，我什至尝试复制并粘贴绘图破折号代码示例，但上传按钮仍然不起作用。
可能是因为您使用的是 Mac 笔记本电脑。我以前遇到过同样的问题。我尝试了你的代码，当 http 出现时，我能够上传 csv 文件。