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.

[ricardoevvargas]

Hello, @yantavares.

Thank you for submitting this PR.

Over the last few weeks, we have been concentrating on the necessary steps to add to the 3W Dataset some types of undesirable events that occur during the well drilling stage. We believe that this increase (planned for the coming months) will promote significant progress in the 3W Project.

We intend to evaluate this and the other open PRs over the next few days.

Once again, thank you for submitting this PR.