kshirsagarsiddharth

@app.callback(Output('km-travelled-gauge', 'value'), Input('km-travelled-slider', 'value'))
def km_travelled_update(km_travelled):
    return km_travelled

@app.callback(Output('km-per-liters-slider-output', 'value'), Input('km-per-liters-slider', 'value'))
def km_travelled_update(km_per_lit):
    return km_per_lit

@app.callback(Output('engine-size-slider-output', 'value'), Input('engine-size-slider', 'value'))
def km_travelled_update(engine_slider):

kshirsagarsiddharth

# utils2.py 
import pandas as pd
import dash_bootstrap_components as dbc
import dash_daq as daq

df = pd.read_csv('car_price_data.csv').drop('Unnamed: 0', axis=1)

card_content = []

row5 = dbc.Row([

kshirsagarsiddharth

row1 = dbc.Row(dbc.Col(html.Div("A single column")))

row2 = dbc.Row(
            [
                dbc.Col(html.Div("One of three columns")),
                dbc.Col(html.Div("One of three columns")),
                dbc.Col(html.Div("One of three columns")),
            ]
        )
import dash_bootstrap_components as dbc

kshirsagarsiddharth

import dash_bootstrap_components as dbc
from dash import html

app = JupyterDash(__name__, external_stylesheets = [dbc.themes.BOOTSTRAP])

app.layout =  html.Div(
    [
        dbc.Row(dbc.Col(html.Div("A single column"))),
        dbc.Row(
            [

kshirsagarsiddharth

from datetime import date
import joblib
loaded_model = joblib.load('final_car_prediction_model.pkl')
app = JupyterDash(__name__)
app.layout = html.Div([
    html.H2('km-travelled'),
    dcc.Slider(
        min=df['km_traveled'].min(),
        max=df['km_traveled'].max(),
        value=100.0,

kshirsagarsiddharth

app = JupyterDash(__name__)
from datetime import date
app.layout = html.Div([
    html.H2('km-travelled'),
    dcc.Slider(
        min=df['km_traveled'].min(),
        max=df['km_traveled'].max(),
        value=100.0,
        id='km-travelled-slider',
        tooltip={"placement": "bottom"}

kshirsagarsiddharth

app = JupyterDash(__name__)
from datetime import date
app.layout = html.Div([
    html.H2('km-travelled'),
    dcc.Slider(
        min=df['km_traveled'].min(),
        max=df['km_traveled'].max(),
        value=100.0,
        id='km-travelled-slider'
    ),

kshirsagarsiddharth

from datetime import date
app = JupyterDash(__name__)
app.layout = html.Div([
    dcc.Slider(
        min=df['km_traveled'].min(),
        max=df['km_traveled'].max(),
        value=df['km_traveled'].min(),
        id='km-travelled-slider'
    ),

kshirsagarsiddharth

app = JupyterDash(__name__)
from datetime import date
app.layout = html.Div([
    dcc.Slider(
        min=df['km_traveled'].min(),
        max=df['km_traveled'].max(),
        value=100.0,
        id='km-travelled-slider'
    ),
    

kshirsagarsiddharth

app = JupyterDash(__name__)

app.layout = html.Div([
    dcc.Slider(
        min = df['km_traveled'].min(),
        max = df['km_traveled'].max(),
        value = 100.0,
        id = 'km-travelled-slider'
    ),
    html.Div(id = 'slider-output-container')