Multilevel plotting

Dash Python
1

I have the following code. The plots are not being called. May someone help me see where I am getting the code wrong.

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import numpy as np
import pandas as pd
import plotly.graph_objs as go
import plotly.express as px
import plotly.io as pio
from plotly.colors import n_colors
from plotly.subplots import make_subplots

df=pd.read_csv("hire_merge.csv")

app = dash.Dash()

app.layout = html.Div([

html.Div([
        dcc.Graph(id = "graph")
],className = 'nine columns'),

html.Div([

    html.Br(),
    html.Label(['Choose Pit:'],style={'font-weight': 'bold', "text-align": "center"}),
    dcc.Dropdown(id = 'pit_drop',
        options = [{'label':pit, 'value':pit} for pit in df['Pit'].unique()],
        value = 'BON',
        multi = False,
        disabled=False,
        clearable=True,
        searchable=True,
        placeholder='Choose Pit...',
        className='form-dropdown',
        style={'width':"90%"},
        persistence='string',
        persistence_type='memory'),

    dcc.Dropdown(id= 'num_drop',
        options = [{'label': metric_1, 'value' : metric_1} for metric_1 in df['Metric'].unique()],
        value = 'Grade Control Model Insitu',
        multi = False,
        disabled=False,
        clearable=True,
        searchable=True,
        placeholder='Choose Upper Metric..',
        className='form-dropdown',
        style={'width':"90%"},
        persistence='string',
        persistence_type='memory'),

    dcc.Dropdown(id = 'den_drop',
        options = [{'label':metric_2, 'value':metric_2} for metric_2 in df['Metric'].unique()],
        value = 'Monthly Mine Plan Depletion (Latest Model)',
        multi = False,
        disabled=False,
        clearable=True,
        searchable=True,
        placeholder='Choose Lower Metric..',
        className='form-dropdown',
        style={'width':"90%"},
        persistence='string',
        persistence_type='memory'),
    
    ])

####################Callbacks#######################

@app.callback(
Output("graph", "figure"),
[Input('pit_drop', 'value'),
Input('num_drop', 'value'),
Input('den_drop', 'value')
    
])

def update_graph(pit, metric_1, metric_2):
    dfi=df.set_index(["Metric","Pit", "Date"])
    dfi.xs(pit, level="Pit")
    fig=(dfi.loc[metric_1,  :]/dfi.loc[metric_2, :].replace(np.inf, 0)).plot()
    return fig

app.run_server()
2

Hi @Tawanda welcome to the forums. Please run your app with debug=True and check for errors.

3

Hi @Tawanda
:wave: welcome to the community. @AIMPED 's advice is good. Always make sure to add debug=True to try to catch any errors.

Also, try to add a print statement under the:

fig=(dfi.loc[metric_1,  :]/dfi.loc[metric_2, :].replace(np.inf, 0)).plot()
print(fig)