Feat/plot filtered data

[infingardi]

What was changed

Added function filter_and_plot_data in _bibmon_tools.py

Objective

Filters a dataset by optionaly removing columns with only NaN or zero values and excludes specified tags. It then visualizes the remaining data by plotting each column as a separate subplot in a time series, using a shared X-axis for easy comparison.

Importance

Enhances the data visualization process by:

• Data Cleaning: It removes irrelevant columns (NaNs and zeros), ensuring focus on significant data points.
• Customization: Users can exclude specific tags, tailoring the visualization to highlight relevant variables.
• Enhanced Visualization: It provides clear, separate subplots for each variable, facilitating comparative analysis and trend observation.
• User-Friendly: The function simplifies data preparation with intuitive parameters, making it accessible for users.
• Time Series Analysis: It effectively supports time-based analysis by using timestamps on the X-axis, crucial for understanding temporal patterns.

How to use

not_wanted_tags = ['ESTADO-M1', 'ESTADO-SDV-P', 'ESTADO-W1', 'P-PDG', 'QGL']

data = filter_and_plot_data(file, 'k', 'Poço 6', not_wanted_tags = not_wanted_tags)