I am trying to make a dashboard using dash and plotly for the first time and I am getting this error
" callback() takes from 2 to 4 positional arguments but 5 were given"
Can someone please help me with this?
A snippet of code where I am getting the error:
@app.callback(
Output('d-amount', 'value'),
Output('slider','value'),
Input('d-amount','value'),
Input( 'slider', 'value')
def update_purchase_amount(input_v, slider_v):
ctx = callback_context
component_triggered = ctx.triggered[0]["prop_id"].split(".")[0]
if component_triggered == 'slider':
input_v = slider_v
else:
slider_v = input_v
return input_v, slider_v
As of Dash 1.19.0, it’s possible to target the same component property in both an Input and Output. See more information and examples here: Advanced Callbacks | Dash for Python Documentation | Plotly
The callback looks right to me. Do you have other callback that might have triggered this error message? Or could you provide a complete minimal example that can be run to reproduce the error?
Sure, I am posting the complete code below:
Please help me out with this, I have been stuck on this error since yesterday
from jupyter_dash import JupyterDash # pip install dash==1.19.0 or higher
from dash import callback_context
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Output, Input
import dash_bootstrap_components as dbcv
import pandas as pd
import plotly.express as px
from datetime import date
df = pd.read_json('testing.json')
df = df.rename_axis('date').reset_index()
df = df.iloc[:-2, :] # drop last two rows
df['number'] = range(1, len(df)+1) # this will help us connect RangeSlider to DatePicker
df['colors'] = "turquoise" # this will help us color the bar graph
print(df.head()[['date','bpi','number','colors']])
app = JupyterDash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
app.layout = dbc.Container([
dbc.Row([
dbc.Col([
html.H1("'If I Were a Rich Man' Bitcoin Calculator", style={'textAlign':'center'})
], width={'size': 10})
dbc.Row([
dbc.Col([
dbc.Button(id='invested-btn', children="I've invested in Bitcoin",
color='light', size='sm', className='mt-2', style={'width': '50%'}),
], width={'size': 5, 'offset': 1})
dbc.Row([
dbc.Col([
dbc.Button(id='not-invested-btn', children="I've never invested in Bitcoin",
color='info', size='sm', className='mt-1', style={'width': '50%'})
], width={'size': 5, 'offset': 1})
dbc.Row([
dbc.Col([
dbc.Row([
dbc.Col([
dbc.Card([
dbc.CardBody([
html.H5("Select Amount:"),
dbc.Input(id='d-amount', type='number',
step=1000, value=10000),
dcc.Slider(id="slider", min=10000, max=1000000,
step=1000, value=10000,
className="mt-3"),
], width=6),
dbc.Col([
dbc.Card([
dbc.CardBody([
html.H6("Select Buy $ Sell Dates:"),
dcc.DatePickerSingle(
id='my-date-picker-start',
min_date_allowed=date(2017, 1, 1),
max_date_allowed=date(2018, 1, 24),
initial_visible_month=date(2017, 2, 17),
date=date(2017, 2, 17)
dcc.DatePickerSingle(
id='my-date-picker-end',
min_date_allowed=date(2017, 1, 1),
max_date_allowed=date(2018, 1, 24),
initial_visible_month=date(2017, 12, 16),
date=date(2017, 12, 16),
dcc.RangeSlider(id="slider-date", min=1,
max=389,
step=1, value=[48, 350],
allowCross=False,
className="mt-3"),
], width=6),
dbc.Row(
dbc.Col(html.Hr(style={'border': "3px solid gray"}),width=12)
dbc.Row([
dbc.Col([
dbc.Card([
dbc.CardBody([
html.H5("Buy Price"),
html.H2(id="bought", children="", style={'fontWeight':'bold'})
], width=6),
dbc.Col([
dbc.Card([
dbc.CardBody([
html.H5("Sell Price"),
html.H2(id="sold", children="", style={'fontWeight':'bold'})
], width=6)
], className="mb-3"),
dbc.Row([
dbc.Col([
dbc.Card([
dbc.CardBody([
html.H5("My Profit"),
html.H2(id="profit_num", children="", style={'fontWeight':'bold'})
], width=6),
dbc.Col([
dbc.Card([
dbc.CardBody([
html.H5("Profit %"),
html.H2(id="profit_pct", children="", style={'fontWeight':'bold'})
], width=6)
], className="mb-3"),
dbc.Row([
dbc.Col([
dbc.Card([
dbc.CardBody([
html.H5("Conclusions"),
html.H3(id='concluding-remarks', children="I wish I had a time machine",
style={'fontWeight':'bold', 'textAlign':'center'})
], width=12)
], className="mb-3")
], width=4),
dbc.Col([
dbc.Row([
dbc.Col([
dbc.Card([
dbc.CardBody([
html.P("Bitcoin Price $ and Buy - Sell Price Range by Date"),
dcc.Graph(id="bar-chart", config={'displayModeBar': True},
figure=px.bar(df, x='date', y='bpi').
update_layout(margin=dict(l=20, r=20, t=30, b=20))
], width=12),
], width=7)
],className="mt-3", justify='center')
], fluid=True, style={'backgroundColor':'lightgrey'})
# Select $ Amount ********************************************************
@app.callback(
Output('d-amount', 'value'),
Output('slider','value'),
Input('d-amount','value'),
Input('slider', 'value')
def update_purchase_amount(input_v, slider_v):
ctx = callback_context
component_triggered = ctx.triggered[0]["prop_id"].split(".")[0]
if component_triggered == 'slider':
input_v = slider_v
else:
slider_v = input_v
return input_v, slider_v
# Buy and Sell Dates *****************************************************
@app.callback(
Output('my-date-picker-start','date'),
Output('my-date-picker-end','date'),
Output('slider-date','value'),
Input('my-date-picker-start','date'),
Input('my-date-picker-end','date'),
Input('slider-date', 'value'),
def update_purchase_amount(start_date, end_date, slider_v):
ctx = callback_context
component_triggered = ctx.triggered[0]["prop_id"].split(".")[0]
if component_triggered == 'slider-date':
start_date = df[df.number == slider_v[0]]['date'].values[0]
end_date = df[df.number == slider_v[1]]['date'].values[0]
elif component_triggered == 'my-date-picker-start' or component_triggered == 'my-date-picker-end':
num_start = df[df.date==start_date]['number'].values[0]
num_end = df[df.date==end_date]['number'].values[0]
slider_v = [num_start, num_end]
return start_date, end_date, slider_v
# Update Graph ***********************************************************
@app.callback(
Output('bar-chart','figure'),
Input('my-date-picker-start','date'),
Input('my-date-picker-end','date'),
def update_graph(start_date, end_date):
dff = df.copy()
dff.loc[((dff.date>=start_date) & (dff.date<=end_date)), 'colors'] = 'black'
fig = px.bar(dff, x='date', y='bpi')
fig.update_traces(marker_color=dff['colors'])
fig.update_layout(margin=dict(l=20, r=20, t=30, b=20))
return fig
# Update Prices and Profits **********************************************
@app.callback(
Output('bought','children'),
Output('sold','children'),
Output('profit_num','children'),
Output('profit_pct', 'children'),
[Input('my-date-picker-start','date')],
[Input('my-date-picker-end','date')],
[Input('slider', 'value')]
def prices_profit(start_date, end_date, slider_v):
buy_price = df[df.date == start_date]['bpi'].values[0]
buy_price_formatted = f"${buy_price:,.2f}"
sold_price = df[df.date == end_date]['bpi'].values[0]
sold_price_formatted = f"${sold_price:,.2f}"
new_v = slider_v / 1000
my_profit = (sold_price - buy_price) * new_v
my_profit = f"${my_profit:,.0f}"
margin = sold_price - buy_price
my_pct_profit = (margin / buy_price) * 100
my_pct_profit = f"{my_pct_profit:,.0f}%"
return buy_price_formatted, sold_price_formatted, my_profit, my_pct_profit
# Invested buttons *******************************************************
@app.callback(
Output('concluding-remarks','children'),
Output('invested-btn', 'color'),
Output('not-invested-btn', 'color'),
Input('invested-btn','n_clicks'),
Input('not-invested-btn','n_clicks'),
prevent_initial_call=True
def update_buttons(n1, n2):
ctx = callback_context
component_triggered = ctx.triggered[0]["prop_id"].split(".")[0]
if component_triggered == 'not-invested-btn':
message = "I wish I had a time machine"
invested_color = 'light'
not_invested_color= 'info'
elif component_triggered == 'invested-btn':
message = "I am rich!"
invested_color = 'info'
not_invested_color= 'light'
return message, invested_color, not_invested_color
app.run_server(mode='jupyterlab')
Output('sold','children'),
Output('profit_num','children'),
Output('profit_pct', 'children'),
[Input('my-date-picker-start','date')],
[Input('my-date-picker-end','date')],
[Input('slider', 'value')]
Just guessing here since I couldn’t run your code without any data…Try removing the [ ] from the Inputs in the callback so it looks like:
@app.callback(
Output('bought','children'),
Output('sold','children'),
Output('profit_num','children'),
Output('profit_pct', 'children'),
Input('my-date-picker-start','date'),
Input('my-date-picker-end','date'),
Input('slider', 'value')
Thank you so much! It worked!
I got one more problem…there are no more errors but the app isn’t working. Like nothing is happening when I press “Run”.
I am running the code in JupyterLab. Could you help me out with that?
And I am attaching the data file (.json format) below:
.json data file
