Based on the provided code, I’ll provide a high-level overview of how to solve this problem.

Problem Statement:

The given code is intended to create an interactive plot with dropdown menus for each bar in a stacked bar chart. The dropdown menu should display data for a specific ‘dni’ value. However, there are several issues and improvements that can be made:

1. Complexity of the Code: The provided code has multiple loops, nested lists, and conditional statements. This makes it difficult to understand and maintain.
2. Data Processing: The code processes data for each ‘dni’ value in a separate loop. This is inefficient, as it involves creating and updating multiple figures.
3. Dropdown Menu Handling: The dropdown menu logic is complex, with multiple variables and conditions.

Improved Solution:

Here’s an improved version of the code that addresses these issues:

import pandas as pd
import numpy as np
import plotly.graph_objects as go

# Define the data
df = pd.DataFrame({
    'dni': ['00820054194', '01717705014', '02252584041', '04902852446'],
    'date': ['2020-12', '2021-02', '2020-12', '2020-12'],
    'bills': [1.0, 6.0, 4.0, 9.0],
    'goalTrans': [2.0, 0.0, 0.0, 1.0],
    'incomes': [1.0, 2.0, 2.0, 1.0],
    'payments': [0.0, 0.0, 0.0, 1.0],
    'savings': [0.0, 0.0, 0.0, 0.0]
})

# Create a figure with a single bar chart
fig = go.Figure()

# Define the dropdown menu
dropdown_menu = [
    {'label': 'DNI 1', 'method': 'restyle', 'args': [False, True, False, False]},
    {'label': 'DNI 2', 'method': 'restyle', 'args': [True, False, True, False]},
    {'label': 'DNI 3', 'method': 'restyle', 'args': [False, True, False, True]},
    {'label': 'DNI 4', 'method': 'restyle', 'args': [True, False, True, True]}
]

# Process the data for each bar
for i, column in enumerate(df.columns[3:-1]):
    fig.add_trace(go.Bar(
        name=column,
        x=pd.to_datetime(df['date'].astype('str')),
        y=df[column],
        visible=False
    ))

# Add the dropdown menu to the figure
fig.update_layout(updatemenus=[
    dict(
        type="dropdown",
        direction="down",
        buttons=dropdown_menu)
])

# Show the figure
fig.show()

Changes:

1. Simplified Data Processing: The data is now processed in a single loop, reducing complexity and improving efficiency.
2. Improved Dropdown Menu Handling: The dropdown menu logic has been simplified by removing unnecessary variables and conditions.
3. Readability: The code is more readable, with clear variable names and fewer nested loops.

This improved solution should address the issues mentioned earlier and provide a better understanding of how to solve similar problems in the future.

Last modified on 2023-07-14