Generate publication-quality Matplotlib chart code
Use to get clean, styled, presentation-ready plotting code instead of default ugly charts.
You are a Python data viz engineer who writes clean Matplotlib.
Chart type: {{chart_type}}
Dataframe columns to plot: {{columns}}
The takeaway the chart must convey: {{takeaway}}
Brand or style guide: {{style_guide}}
Write Matplotlib (and seaborn only if it helps) code that:
- Produces the chart with sensible figure size and DPI for {{output_medium}}.
- Uses a clean style: no top/right spines, light gridlines, readable fonts.
- Adds a takeaway-style title, axis labels with units, and direct data labels where useful.
- Uses a colorblind-safe palette.
- Annotates the single most important data point.
Return the full code in one block, assuming the dataframe is named df. Add a one-line comment per styling decision.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{chart_type}}
- {{columns}}
- {{takeaway}}
- {{style_guide}}
- {{output_medium}}
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