I am using the below code to display x and y values on plotly dash. But then i want to be be able to add a another text field below the "value" textfield.
The text field would be called "Category" so that if the y value displayed is: 5k then category = not pricey or if value is 20k then category = average price and if value is 30k then category = too pricey.
How would i implement this? Here's the running code that displays the values hovered on
import json
from textwrap import dedent as d
import pandas as pd
import plotly.graph_objects as go
import numpy as np
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
from dash.dependencies import Input, Output
from jupyter_dash import JupyterDash
# app info
app = JupyterDash(__name__)
styles = {
'pre': {
'border': 'thin lightgrey solid',
'overflowX': 'scroll'
}
}
# data and basic figure
x = np.arange(20)+10
fig = go.Figure(data=go.Scatter(x=x, y=x**2, mode = 'lines+markers'))
fig.add_traces(go.Scatter(x=x, y=x**2.2, mode = 'lines+markers'))
app.layout = html.Div([
dcc.Graph(
id='basic-interactions',
figure=fig,
),
html.Div(className='row', children=[
html.Div([
dcc.Markdown(d("""
Click on points in the graph.
""")),
html.Pre(id='hover-data', style=styles['pre']),
], className='three columns'),
])
])
@app.callback(
Output('hover-data', 'children'),
[Input('basic-interactions', 'hoverData')])
def display_hover_data(hoverData):
return json.dumps(hoverData, indent=2)
app.run_server(mode='external', port = 8070, dev_tools_ui=True,
dev_tools_hot_reload =True, threaded=True)
With the following amendments to your setup:
if hoverData['points'][0]['y'] >= 5000:
Category = 'not Pricey'
if hoverData['points'][0]['y'] >= 20000:
Category = 'average price'
if hoverData['points'][0]['y'] >= 30000:
Category = 'Too pricey'
output = json.dumps({'Date:':hoverData['points'][0]['x'],
'Value:':hoverData['points'][0]['y'],
'Category':Category
}, indent = 2)
... the code snippet below produces the following app:
You didn't specify category for values lower than 5000, so now only an empty string is returned. Give it a try and let me know how this works out for you.
import json
from textwrap import dedent as d
import pandas as pd
import plotly.graph_objects as go
import numpy as np
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
from dash.dependencies import Input, Output
from jupyter_dash import JupyterDash
# app info
app = JupyterDash(__name__)
styles = {
'pre': {
'border': 'thin lightgrey solid',
'overflowX': 'scroll'
}
}
# data and basic figure
y = np.arange(100)+20
x = pd.date_range(start='1/1/2021', periods=len(y))
fig = go.Figure(data=go.Scatter(x=x, y=y**2, mode = 'lines+markers'))
fig.add_traces(go.Scatter(x=x, y=y**2.2, mode = 'lines+markers'))
app.layout = html.Div([
dcc.Graph(
id='basic-interactions',
figure=fig,
),
html.Div(className='row', children=[
html.Div([
dcc.Markdown(d("""
Click on points in the graph.
""")),
html.Pre(id='hover-data', style=styles['pre']),
], className='three columns'),
])
])
# The text field would be called "Category" so that if the y value displayed is:
# 5k then category = not pricey or if value is 20k then category = average price and
# if value is 30k then category = too pricey.
@app.callback(
Output('hover-data', 'children'),
[Input('basic-interactions', 'hoverData')])
def display_hover_data(hoverData):
global hd
hd = hoverData
Category = ''
try:
output = json.dumps({'Date:':hoverData['points'][0]['x'],
'Value:':hoverData['points'][0]['y']}, indent = 2)
if hoverData['points'][0]['y'] >= 5000:
Category = 'not Pricey'
if hoverData['points'][0]['y'] >= 20000:
Category = 'average price'
if hoverData['points'][0]['y'] >= 30000:
Category = 'Too pricey'
output = json.dumps({'Date:':hoverData['points'][0]['x'],
'Value:':hoverData['points'][0]['y'],
'Category':Category
}, indent = 2)
print(output)
return output
except:
return None
app.run_server(mode='external', port = 8070, dev_tools_ui=True,
dev_tools_hot_reload =True, threaded=True)
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