Resolved Python Plotting Issues with Matplotlib and Backtrader

• Day: 2024-01-16
• Time: 17:20 to 17:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Matplotlib, Backtrader, Plotting, Troubleshooting

Description

Session Goal

The session aimed to troubleshoot and resolve issues related to displaying and saving plots in Python, specifically using Matplotlib within the Backtrader framework.

Key Activities

• Troubleshooting Plot Display Issues: Steps were outlined to address problems with displaying or saving plots, focusing on Matplotlib in a Backtrader context.
• Handling Unexpected Output: The code for cerebro.plot() was modified to handle unexpected list outputs, ensuring proper saving of Matplotlib figures.
• Refined Code Implementation: Updated Python code was provided to save figures from nested list structures with unique filenames.
• Resolving Time Series Plotting Issues: Addressed issues with plotting the OLSResiduals indicator and ensured missing lines were plotted.
• Configuring Data Feed Instances: Managed multiple data feed instances in Backtrader, focusing on plotting cash and total investment.
• Customizing Plotting for Observers: Customized plotting options for Broker and Trades observers in the Cerebro framework.

Achievements

• Successfully resolved plotting issues in Python using Matplotlib and Backtrader.
• Improved code for handling and saving plot figures.
• Enhanced plotting configuration for time series and financial [[data visualization]].

Pending Tasks

• Further testing of customized plotting configurations to ensure robustness across different datasets.
• Explore additional customization options for plotting observers in Cerebro.

Evidence

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• event_ids: []