New `charts.py` module for easy and interactive data visualization

[yantavares]

This PR was made by the team Black Oil Pyrates in HACKTUDO.

Description:

This PR introduces a new ThreeWChart class to the 3W repository, enabling the creation of interactive visualizations from 3W dataset files using Plotly. The ThreeWChart module provides an intuitive way to display time-series data with background shapes indicating key class transitions, along with a custom legend for better event understanding.

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Code Overview:

• ThreeWChart class:
  • Attributes:
  • class_mapping: Maps class IDs to descriptive event names.
  • class_colors: Assigns colors to each class for visual distinction.
  • Methods:
  • _load_data: Loads and preprocesses the dataset from a Parquet file.
  • _get_background_shapes: Generates background shapes based on class transitions.
  • _add_custom_legend: Adds a custom legend with event names and colors to the chart.
  • plot: Generates the interactive chart with class annotations and displays it using Plotly.

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Example Usage:

from charts import ThreeWChart

chart = ThreeWChart(file_path="dataset/0/WELL-00001_20170201010207.parquet")
chart.plot()

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Dependencies:

• Pandas: For data manipulation and preprocessing.
• Plotly: For generating interactive visualizations.