stata-style-figures

# 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...