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stata-style-figureslisted

Style every matplotlib figure like the Stata 18/19 default (stcolor) scheme — Arial embedded as TrueType, white background, recessive light-gray grid below the data, no top/right spines, unframed legends, and the validated blue/red/gray palette. Use whenever a task generates or restyles charts, plots, or figures for papers, reports, or slides, even if the user doesn't mention Stata — this is the house style for all publication figures. Also use when asked to make figures "look like Stata", match the stcolor scheme, or restyle existing matplotlib output.
kennethkhoocy/applied-micro-skills · ★ 21 · Data & Documents · score 80
Install: claude install-skill kennethkhoocy/applied-micro-skills
# Stata-style (stcolor) matplotlib figures House style for publication figures, extracted from validated generators. Paste the rcParams block, use the palette constants, follow the grid rule, and never let a restyle change data content. ## rcParams — paste at the top of every figure script ```python plt.rcParams.update({ "font.family": "sans-serif", "font.sans-serif": ["Arial", "Helvetica", "DejaVu Sans"], "mathtext.fontset": "custom", "mathtext.rm": "Arial", "mathtext.it": "Arial:italic", "mathtext.bf": "Arial:bold", "pdf.fonttype": 42, "ps.fonttype": 42, # embed fonts as TrueType "font.size": 9, "axes.linewidth": 0.6, "axes.edgecolor": "0.2", "axes.spines.top": False, "axes.spines.right": False, "axes.axisbelow": True, }) ``` `font.size` 9 for single/1x2 panels; drop to 8.5 when panels are dense (many tick labels). Figure width 6.5 in = `\textwidth` at 1-inch margins; include at `width=\textwidth` so fonts render at stated size (no downscaling). ## Palette ```python STC_BLUE = "#1f77b4" # protagonist series STC_RED = "#d62728" # accent / contrast series STC_GRAY = "0.62" # de-emphasised series STC_BLUE_LIGHT = "#c1d9ec" # shaded bands / intervals (light step of the blue) STC_GRID = "#e3e6e8" # gridlines ``` Baseline-vs-corrected comparisons: dashed gray baseline (`color="0.50", ls="--"`) vs solid blue corrected. Background/context shading: `axvspan(..., color="0.93")`. ## Per-axes styling ```python