2 years ago
#60128
ivica
Getting an error with Dash Python -- Invalid argument `figure` passed into Graph with ID "bar_line_1". Expected `object`. Was supplied type `number`
**I work one project in python, with plotly dash and apache spark.But i have this error. How to fix it?
I have this error:
Invalid argument figure passed into Graph with ID "bar_line_1".
Expected object.
Was supplied type number.
Value provided: 0
**
app.layout = html.Div([
html.Div([
html.Div([
html.Div([
html.H3('Spark Visual app', style = {"margin-bottom": "0px",
'color': 'white'}),
]),
], className = "six column", id = "title")
], id = "header", className = "row flex-display", style = {"margin-bottom":
"25px"}),
html.Div([
html.Div([
dcc.Graph(id = 'map_1',
config = {'displayModeBar': 'hover'}),
], className = "create_container 12 columns"),
], className = "row flex-display"),
html.Div([
html.Div([
html.P('Izaberi kategoriju:', className = 'fix_label', style = {'color':
'white'}),
dcc.Dropdown(id = 'w_countries',
multi = False,
clearable = True,
disabled = False,
style = {'display': True},
value = 'Economy',
placeholder = 'Select category',
options = [{'label': c, 'value': c}
for c in region], className = 'dcc_compon'),
html.P('Izaberi podkategoriju:', className = 'fix_label', style = {'color': 'white'}),
dcc.Dropdown(id = 'w_countries1',
multi = False,
clearable = True,
disabled = False,
style = {'display': True},
placeholder = 'Select subcategory',
options = [], className = 'dcc_compon'),
html.P('Izaberi zemlju:', className = 'fix_label', style = {'color':
'white'}),
dcc.Dropdown(id = 'w_countries2',
multi = True,
clearable = True,
disabled = False,
style = {'display': True},
value = ['European Union','Belgium'],
placeholder = 'Select country',
options = [{'label': c, 'value': c}
for c in countries], className = 'dcc_compon'),
html.P('Izaberi godinu:', className = 'fix_label', style = {'color':
'white', 'margin-left': '1%'}),
dcc.RangeSlider(id = 'select_years',
min = 2019,
max = 2021,
dots = False,
value = [2020, 2021]),
], className = "create_container three columns"),
html.Div([
dcc.Graph(id='bar_line_1', figure={}, clickData=None, hoverData=None,
config={
'staticPlot': False, # True, False
'scrollZoom': True, # True, False
'doubleClick': 'reset', # 'reset', 'autosize' or
'reset+autosize', False
'showTips': False, # True, False
'displayModeBar': True, # True, False, 'hover'
'watermark': True,
# 'modeBarButtonsToRemove': ['pan2d','select2d'],
})
]),
html.Div([
dcc.Graph(id = 'pie',
config = {'displayModeBar': 'hover'})
], className = "create_container three columns"),
], className = "row flex-display"),
], id = "mainContainer", style = {"display": "flex", "flex-direction": "column"})
@app.callback(
Output('w_countries1', 'options'),
Input('w_countries', 'value'))
def get_country_options(w_countries):
terr3 = terr2[terr2['products'] == w_countries]
return [{'label': i, 'value': i} for i in terr3['subproducts'].unique()]
@app.callback(
Output('w_countries1', 'value'),
Input('w_countries1', 'options'))
def get_country_value(w_countries1):
return [k['value'] for k in w_countries1][0]
#get Data for Economy Inflation
def getArr(countryName):
value=[]
value1=[]
data2=data.where(data.GEOLABEL==countryName).collect()
for i in range(2,31):
value.append(float(data2[0][i]))
value1= np.array(value)
return value1
# Create line chart
@app.callback(Output('bar_line_1', 'figure'),
[Input('w_countries', 'value')],
[Input('w_countries1', 'value')],
[Input('w_countries2', 'value')])
def update_graph(w_countries, w_countries1,country_chosen):
mon=np.array(terr2)
mon1=mon[5][1]
coun=[]
coun=np.array(country_chosen)
#
# ECONOMY INFLATION
#
if(w_countries=='Economy'):
if(w_countries1=='Inflation - annual growth rate'):
valueEu1=[]
if ('European Union' in coun):
valueEu1=getArr('European Union')
valueSer1=[]
if ('Serbia' in coun):
valueSer1=getArr('Serbia')
valueBel1=[]
if ('Belgium' in coun):
valueBel1=getArr('Belgium')
return {
'data': [go.Scatter(x=lab,
y=valueEu1,
mode='lines+markers',
name='European Union',
line=dict(shape="spline", smoothing=1.3, width=3, color= '#E6D1D1'),
marker= dict(size =5, symbol='circle', color='lightblue', line=dict(color='#E6D1D1', width=2)),
hoverinfo='text',
hovertext='<b>Country</b>: ' + 'European Union'+'<br>'
),
go.Scatter(x=lab,
y=valueBel1,
mode='lines+markers',
name='Belgium',
line=dict(shape="spline", smoothing=1.3, width=3, color='#FF00FF'),
marker=dict(size=5, symbol='circle', color='lightblue', line=dict(color='#FF00FF', width=2)),
hoverinfo='text',
hovertext='<b>Country</b>: ' + 'Belgium'+'<br>'
)
],
'layout': go.Layout(
barmode = 'stack',
plot_bgcolor = '#808080',
paper_bgcolor = '#A8A8A8',
title = {
'text': 'Inflation - annual growth rate'+ ' ' + '<br>' +
"(change compared with same month of previous year)" + '</br>',
'y': 0.93,
'x': 0.5,
'xanchor': 'center',
'yanchor': 'top'},
titlefont = {
'color': 'white',
'size': 20},
hovermode = 'closest',
showlegend = True,
xaxis = dict(title = '<b>Year</b>',
spikemode = 'toaxis+across',
spikedash = 'solid',
tick0 = 0,
dtick = 1,
color = 'white',
showline = True,
showgrid = True,
showticklabels = True,
linecolor = 'white',
linewidth = 2,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white'
)
),
yaxis = dict(title = '<b>%</b>',
color = 'white',
showline = True,
showgrid = True,
showticklabels = True,
linecolor = 'white',
linewidth = 2,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white'
)
),
legend = {
'orientation': 'h',
'bgcolor': '#010915',
'xanchor': 'center', 'x': 0.5, 'y': -0.3},
font = dict(
family = "sans-serif",
size = 12,
color = 'white')
)
}
elif(w_countries1=='GDP – quarterly growth rate'):
return 0;
elif(w_countries1=='Monthly industrial production'):
return 0;
elif(w_countries1=='Monthly volume of retail trade'):
return 0;
else:
return 0;
elif(w_countries =='Population and health'):
if(w_countries1 =='Monthly excess mortality'):
valueEu1=[]
if ('European Union' in coun):
valueEu1=getPAHMEM('European Union')
valueBel1=[]
if ('Belgium' in coun):
valueBel1=getPAHMEM('Belgium')
return {
'data': [go.Scatter(x=labPAHMEM,
y=valueEu1,
mode='lines+markers',
name='European Union',
line= dict(shape="spline", smoothing=1.3, width=3, color='#E6D1D1'),
marker= dict(size=5, symbol='circle', color='lightblue', line=dict(color='#E6D1D1', width=2)),
hoverinfo='text',
hovertext='<b>Country</b>: ' + 'European Union' +'<br>'
),
go.Scatter(x=labPAHMEM,
y=valueBel1,
mode='lines+markers',
name='Belgium',
line=dict(shape="spline", smoothing=1.3, width=3, color='#FF0000'),
marker=dict(size=5, symbol='circle', color='lightblue', line=dict(color='#FF0000', width=2)),
hoverinfo='text',
hovertext='<b>Country</b>: '+ 'Belgium' + '<br>'
)
],
'layout': go.Layout(
barmode = 'stack',
plot_bgcolor = '#808080',
paper_bgcolor = '#A8A8A8',
title = {
'text': 'Monthly excess mortality'+ ' ' + '<br>' +
"(% of additional deaths compared with average monthly deaths in 2016-2019)" + '</br>',
'y': 0.93,
'x': 0.5,
'xanchor': 'center',
'yanchor': 'top'},
titlefont = {
'color': 'white',
'size': 20},
hovermode = 'closest',
showlegend = True,
xaxis = dict(title = '<b>Year</b>',
spikemode = 'toaxis+across',
spikedash = 'solid',
tick0 = 0,
dtick = 1,
color = 'white',
showline = True,
showgrid = True,
showticklabels = True,
linecolor = 'white',
linewidth = 2,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white'
)
),
yaxis = dict(title = '<b>% of additional deaths</b>',
color = 'white',
showline = True,
showgrid = True,
showticklabels = True,
linecolor = 'white',
linewidth = 2,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white'
)
),
legend = {
'orientation': 'h',
'bgcolor': '#010915',
'xanchor': 'center', 'x': 0.5, 'y': -0.3},
font = dict(
family = "sans-serif",
size = 12,
color = 'white')
)
}
elif(w_countries1=='Number of deaths by week'):
return 0;
else:
return 0;
elif(w_countries=='Society and work'):
if(w_countries1=='Monthly unemployment rate'):
return 0;
elif(w_countries1=='Monthly youth unemployment rate'):
return 0;
elif(w_countries1=='Quarterly employment'):
return 0;
elif(w_countries1=='Quarterly labour market slack'):
return 0;
elif(w_countries1=='Quarterly job vacancy rate'):
return 0;
else:
return 0;
else:
if(w_countries1=='Monthly air passenger transport'):
return 0;
elif(w_countries1=='Monthly commercial air flights'):
return 0;
elif(w_countries1=='Monthly arrivals at tourist accommodation'):
return 0;
elif(w_countries1=='Monthly nights spent at tourist accommodation'):
return 0;
else:
return 0;
python
csv
plotly-dash
invalid-argument
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