MATLAB Python Plot Code Helper

When to use

• When you need a clean line, scatter, bar, histogram, subplot, multiple-series, dual-axis, or error-bar starter snippet.
• When moving a plot idea between MATLAB and Matplotlib.
• When teaching basic plotting structure without executing code.

How to use

1. Enter the code, error text, shape values, or template details requested by the form.
2. Choose the relevant language, style, operation, or option set, then click Generate Plot Code.
3. Review warnings and unsupported-pattern notes before copying or downloading the result.
4. Paste the generated snippet into your own MATLAB or Python environment only after inspection and testing.

Inputs

Plot options

Language, plot type, x and y variables, optional second y variable, dataset variable, labels, legend, style, size, and save filename.

Notation

Output explanation

• Generated MATLAB or Python code.
• Import or setup notes for Matplotlib where needed.
• Warnings for existing-variable assumptions, dual-axis interpretation, and histogram bin sensitivity.

Supported patterns

• line, scatter, bar, histogram, subplot, multiple series, dual-axis, and error-bar plots
• MATLAB plot commands and Python matplotlib.pyplot commands
• titles, labels, legends, grids, markers, line styles, figure sizing, and saving

Unsupported patterns

• interactive dashboards, 3D plotting, geographic maps, Seaborn grammar, Plotly callbacks
• automatic data loading or data cleaning
• executing or rendering the generated plot

Interpretation

• Treat generated code as a starting point that must be tested with representative data.
• Warnings identify cases where the rule-based helper cannot prove semantic equivalence.
• The visual summary is a checklist or structure preview, not an execution trace.

Code-helper guidance

• Keep axis labels and units explicit in generated plots.
• Review dual-axis plots carefully because scaling can make unrelated trends appear aligned.

Worked examples

Assumptions

• The variables named in the form already exist when the generated code is run.
• Matplotlib snippets use pyplot as plt.

Practical guidance

• Keep axis labels and units explicit in generated plots.
• Review dual-axis plots carefully because scaling can make unrelated trends appear aligned.

Common mistakes

• Saving figures before configuring labels.
• Using variable names that do not exist in the target script.

Limitations

• The helper does not execute MATLAB, Python, NumPy, pandas, or Matplotlib code.
• Generated snippets may require imports, workspace variables, data cleaning, or environment-specific changes.
• The rule set does not replace code review, unit tests, validated numerical software, or qualified professional judgment.

Related workflow links