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Update app.py
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app.py
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from dash import Dash, html, dcc, Input, Output, dash_table
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import dash_bootstrap_components as dbc
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import pandas as pd
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import plotly.express as px
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df = pd.DataFrame({
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"Categoria": ["A", "B", "C", "D", "E"],
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"Vendas": [120, 200, 150, 80, 220],
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"Lucro": [30, 70, 40, 20, 90]
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})
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app = Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
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app.layout = dbc.Container([
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html.H1("Dashboard em Dash", className="my-4"),
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dbc.Row([
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dbc.Col([
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html.Label("Escolhe a métrica:"),
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dcc.Dropdown(
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id="coluna-dropdown",
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options=[
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{"label": "Vendas", "value": "Vendas"},
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{"label": "Lucro", "value": "Lucro"}
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],
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value="Vendas",
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clearable=False
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)
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], md=4)
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], className="mb-4"),
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dbc.Row([
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dbc.Col(dbc.Card([
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dbc.CardBody([
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html.H4("Total", className="card-title"),
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html.H2(id="total-card")
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])
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]), md=4),
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dbc.Col(dbc.Card([
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dbc.CardBody([
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html.H4("Média", className="card-title"),
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html.H2(id="media-card")
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])
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]), md=4),
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dbc.Col(dbc.Card([
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dbc.CardBody([
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html.H4("Máximo", className="card-title"),
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html.H2(id="max-card")
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])
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]), md=4),
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], className="mb-4"),
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dbc.Row([
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dbc.Col([
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dcc.Graph(id="grafico-barras")
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], md=8),
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dbc.Col([
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dash_table.DataTable(
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id="tabela",
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columns=[{"name": i, "id": i} for i in df.columns],
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data=df.to_dict("records"),
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style_table={"overflowX": "auto"},
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style_cell={"textAlign": "center"},
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page_size=5
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)
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], md=4)
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])
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], fluid=True)
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@app.callback(
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Output("grafico-barras", "figure"),
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Output("total-card", "children"),
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Output("media-card", "children"),
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Output("max-card", "children"),
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Input("coluna-dropdown", "value")
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)
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def atualizar_dashboard(coluna_escolhida):
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fig = px.bar(
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df,
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x="Categoria",
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y=coluna_escolhida,
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color="Categoria",
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title=f"{coluna_escolhida} por Categoria"
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)
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total = df[coluna_escolhida].sum()
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media = round(df[coluna_escolhida].mean(), 2)
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maximo = df[coluna_escolhida].max()
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return fig, total, media, maximo
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if __name__ == "
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app.
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from dash import Dash, html, dcc, Input, Output, dash_table
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import dash_bootstrap_components as dbc
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import pandas as pd
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import plotly.express as px
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df = pd.DataFrame({
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"Categoria": ["A", "B", "C", "D", "E"],
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"Vendas": [120, 200, 150, 80, 220],
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"Lucro": [30, 70, 40, 20, 90]
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})
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app = Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
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app.layout = dbc.Container([
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html.H1("Dashboard em Dash", className="my-4"),
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dbc.Row([
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dbc.Col([
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html.Label("Escolhe a métrica:"),
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dcc.Dropdown(
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id="coluna-dropdown",
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options=[
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{"label": "Vendas", "value": "Vendas"},
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{"label": "Lucro", "value": "Lucro"}
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],
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value="Vendas",
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clearable=False
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)
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], md=4)
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], className="mb-4"),
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dbc.Row([
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dbc.Col(dbc.Card([
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dbc.CardBody([
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html.H4("Total", className="card-title"),
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html.H2(id="total-card")
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])
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]), md=4),
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dbc.Col(dbc.Card([
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dbc.CardBody([
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html.H4("Média", className="card-title"),
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html.H2(id="media-card")
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])
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]), md=4),
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dbc.Col(dbc.Card([
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dbc.CardBody([
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html.H4("Máximo", className="card-title"),
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html.H2(id="max-card")
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])
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]), md=4),
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], className="mb-4"),
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dbc.Row([
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dbc.Col([
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dcc.Graph(id="grafico-barras")
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], md=8),
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dbc.Col([
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dash_table.DataTable(
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id="tabela",
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columns=[{"name": i, "id": i} for i in df.columns],
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data=df.to_dict("records"),
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style_table={"overflowX": "auto"},
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style_cell={"textAlign": "center"},
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page_size=5
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)
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], md=4)
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])
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], fluid=True)
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@app.callback(
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Output("grafico-barras", "figure"),
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Output("total-card", "children"),
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Output("media-card", "children"),
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Output("max-card", "children"),
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Input("coluna-dropdown", "value")
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)
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def atualizar_dashboard(coluna_escolhida):
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fig = px.bar(
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df,
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x="Categoria",
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y=coluna_escolhida,
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color="Categoria",
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title=f"{coluna_escolhida} por Categoria"
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)
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total = df[coluna_escolhida].sum()
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media = round(df[coluna_escolhida].mean(), 2)
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maximo = df[coluna_escolhida].max()
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return fig, total, media, maximo
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if __name__ == "__app__":
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app.run_server(host="0.0.0.0", port=7860, debug=False)
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