chore(palette): migrate plotly impls from Okabe-Ito to imprint

plots/alluvial-basic/implementations/python/plotly.py

@@ -18,7 +18,7 @@
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
 # Okabe-Ito palette
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3", "#BD8233"]
 
 # Data: Browser market share evolution 2015-2024
 # Shows how different browsers have gained/lost market share over time
@@ -27,7 +27,7 @@
 
 # Node labels and colors
 node_labels = categories * 4
-category_colors = {cat: OKABE_ITO[i] for i, cat in enumerate(categories)}
+category_colors = {cat: IMPRINT[i] for i, cat in enumerate(categories)}
 node_colors = [category_colors[cat] for cat in node_labels]
 
 # X positions: 4 time points evenly spaced
@@ -85,7 +85,7 @@
     targets.append(tgt_idx)
     values.append(value)
     # Use source category color with transparency
-    base_color = OKABE_ITO[src_cat]
+    base_color = IMPRINT[src_cat]
     r = int(base_color[1:3], 16)
     g = int(base_color[3:5], 16)
     b = int(base_color[5:7], 16)

plots/andrews-curves/implementations/python/plotly.py

@@ -18,8 +18,8 @@
 INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2"]
-BRAND = OKABE_ITO[0]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3"]
+BRAND = IMPRINT[0]
 
 # Data
 iris = load_iris()
@@ -57,7 +57,7 @@
                 x=t,
                 y=curve,
                 mode="lines",
-                line=dict(color=OKABE_ITO[species_idx], width=2),
+                line=dict(color=IMPRINT[species_idx], width=2),
                 opacity=0.4,
                 name=species_names[species_idx],
                 legendgroup=species_names[species_idx],

plots/area-cumulative-flow/implementations/python/plotly.py

@@ -17,17 +17,17 @@
 ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
 INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
 INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
-GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
+GRID = "rgba(26, 26, 23, 0.10)" if THEME == "light" else "rgba(240, 239, 232, 0.10)"
 
 # Okabe-Ito palette — first series is always #009E73
 FILL_COLORS = [
-    "rgba(0,158,115,0.80)",  # #009E73 Done
-    "rgba(213,94,0,0.80)",  # #D55E00 Testing
-    "rgba(0,114,178,0.80)",  # #0072B2 Development
-    "rgba(204,121,167,0.80)",  # #CC79A7 Analysis
-    "rgba(230,159,0,0.80)",  # #E69F00 Backlog
+    "rgba(0, 158, 115, 0.80)",  # #009E73 Done
+    "rgba(196, 117, 253, 0.80)",  # #C475FD Testing
+    "rgba(68, 103, 163, 0.80)",  # #4467A3 Development
+    "rgba(189, 130, 51, 0.80)",  # #BD8233 Analysis
+    "rgba(174, 48, 48, 0.80)",  # #AE3030 Backlog
 ]
-LINE_COLORS = ["#009E73", "#D55E00", "#0072B2", "#CC79A7", "#E69F00"]
+LINE_COLORS = ["#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030"]
 
 # Data — Kanban board for a software team over 90 days
 np.random.seed(42)

plots/area-stacked-confidence/implementations/python/plotly.py

@@ -17,12 +17,12 @@
 ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
 INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
 INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
-GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
+GRID = "rgba(26, 26, 23, 0.10)" if THEME == "light" else "rgba(240, 239, 232, 0.10)"
 
 # Okabe-Ito palette (positions 1-3 for three series)
 HYDRO_COLOR = "#009E73"  # Okabe-Ito position 1 (brand green)
-WIND_COLOR = "#D55E00"  # Okabe-Ito position 2 (vermillion)
-SOLAR_COLOR = "#0072B2"  # Okabe-Ito position 3 (blue)
+WIND_COLOR = "#C475FD"  # Okabe-Ito position 2 (vermillion)
+SOLAR_COLOR = "#4467A3"  # Okabe-Ito position 3 (blue)
 
 # Data - Quarterly energy consumption forecast by source with uncertainty bands
 np.random.seed(42)
@@ -67,7 +67,7 @@
         y=list(hydro_upper_stack) + list(hydro_lower_stack[::-1]),
         fill="toself",
         fillcolor="rgba(0, 158, 115, 0.25)",
-        line=dict(color="rgba(255,255,255,0)"),
+        line=dict(color="rgba(255, 255, 255, 0)"),
         showlegend=False,
         name="Hydro Band",
         hoverinfo="skip",
@@ -93,8 +93,8 @@
         x=quarters + quarters[::-1],
         y=list(wind_upper_stack) + list(wind_lower_stack[::-1]),
         fill="toself",
-        fillcolor="rgba(213, 94, 0, 0.25)",
-        line=dict(color="rgba(255,255,255,0)"),
+        fillcolor="rgba(196, 117, 253, 0.25)",
+        line=dict(color="rgba(255, 255, 255, 0)"),
         showlegend=False,
         name="Wind Band",
         hoverinfo="skip",
@@ -110,7 +110,7 @@
         line=dict(color=WIND_COLOR, width=3),
         name="Wind",
         fill="tonexty",
-        fillcolor="rgba(213, 94, 0, 0.6)",
+        fillcolor="rgba(196, 117, 253, 0.6)",
     )
 )
 
@@ -120,8 +120,8 @@
         x=quarters + quarters[::-1],
         y=list(solar_upper_stack) + list(solar_lower_stack[::-1]),
         fill="toself",
-        fillcolor="rgba(0, 114, 178, 0.25)",
-        line=dict(color="rgba(255,255,255,0)"),
+        fillcolor="rgba(68, 103, 163, 0.25)",
+        line=dict(color="rgba(255, 255, 255, 0)"),
         showlegend=False,
         name="Solar Band",
         hoverinfo="skip",
@@ -137,7 +137,7 @@
         line=dict(color=SOLAR_COLOR, width=3),
         name="Solar",
         fill="tonexty",
-        fillcolor="rgba(0, 114, 178, 0.6)",
+        fillcolor="rgba(68, 103, 163, 0.6)",
     )
 )
 

plots/area-stacked/implementations/python/plotly.py

@@ -20,7 +20,7 @@
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
 # Okabe-Ito palette (first series is always brand green)
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3", "#BD8233"]
 
 # Data - Monthly revenue by product category over 2 years
 np.random.seed(42)
@@ -48,9 +48,9 @@
         y=software,
         name="Software",
         mode="lines",
-        line=dict(width=0.5, color=OKABE_ITO[0]),
+        line=dict(width=0.5, color=IMPRINT[0]),
         fill="tozeroy",
-        fillcolor=OKABE_ITO[0],
+        fillcolor=IMPRINT[0],
         stackgroup="one",
         hovertemplate="<b>Software</b><br>%{x|%b %Y}<br>Revenue: $%{y:,.0f}<extra></extra>",
     )
@@ -62,9 +62,9 @@
         y=services,
         name="Services",
         mode="lines",
-        line=dict(width=0.5, color=OKABE_ITO[1]),
+        line=dict(width=0.5, color=IMPRINT[1]),
         fill="tonexty",
-        fillcolor=OKABE_ITO[1],
+        fillcolor=IMPRINT[1],
         stackgroup="one",
         hovertemplate="<b>Services</b><br>%{x|%b %Y}<br>Revenue: $%{y:,.0f}<extra></extra>",
     )
@@ -76,9 +76,9 @@
         y=enterprise,
         name="Enterprise",
         mode="lines",
-        line=dict(width=0.5, color=OKABE_ITO[2]),
+        line=dict(width=0.5, color=IMPRINT[2]),
         fill="tonexty",
-        fillcolor=OKABE_ITO[2],
+        fillcolor=IMPRINT[2],
         stackgroup="one",
         hovertemplate="<b>Enterprise</b><br>%{x|%b %Y}<br>Revenue: $%{y:,.0f}<extra></extra>",
     )
@@ -90,9 +90,9 @@
         y=consulting,
         name="Consulting",
         mode="lines",
-        line=dict(width=0.5, color=OKABE_ITO[3]),
+        line=dict(width=0.5, color=IMPRINT[3]),
         fill="tonexty",
-        fillcolor=OKABE_ITO[3],
+        fillcolor=IMPRINT[3],
         stackgroup="one",
         hovertemplate="<b>Consulting</b><br>%{x|%b %Y}<br>Revenue: $%{y:,.0f}<extra></extra>",
     )

plots/bar-3d-categorical/implementations/python/plotly.py

@@ -17,7 +17,7 @@
 INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
 GRID_COLOR = "#D0CEC7" if THEME == "light" else "#2D2D2A"
 
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3", "#BD8233"]
 
 # Data
 np.random.seed(42)
@@ -64,7 +64,7 @@
             i=ii,
             j=jj,
             k=kk,
-            color=OKABE_ITO[p_idx],
+            color=IMPRINT[p_idx],
             opacity=1.0,
             name=prod,
             showlegend=True,

plots/bar-diverging/implementations/python/plotly.py

@@ -19,7 +19,7 @@
 
 # Okabe-Ito palette: position 1 (green) for positive, position 2 (orange) for negative
 POSITIVE_COLOR = "#009E73"
-NEGATIVE_COLOR = "#D55E00"
+NEGATIVE_COLOR = "#AE3030"  # imprint red — semantic negative
 
 # Data: Customer satisfaction survey results by department
 # Scores range from -100 (very dissatisfied) to +100 (very satisfied)

plots/bar-drilldown/implementations/python/plotly.py

@@ -21,7 +21,7 @@
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
 # anyplot palette — positions 1–4 for 4 quarters
-PALETTE = ["#009E73", "#9418DB", "#B71D27", "#16B8F3"]
+PALETTE = ["#009E73", "#C475FD", "#AE3030", "#4467A3"]
 
 # Data: 2024 Retail Sales — quarter → month two-level hierarchy
 QUARTERS = [

plots/bar-grouped/implementations/python/plotly.py

@@ -18,7 +18,7 @@
 GRID = "rgba(26,26,23,0.20)" if THEME == "light" else "rgba(240,239,232,0.20)"
 
 # Okabe-Ito palette
-COLORS = ["#009E73", "#D55E00", "#0072B2"]
+COLORS = ["#009E73", "#C475FD", "#4467A3"]
 
 # Data: Quarterly revenue by product line
 categories = ["Q1", "Q2", "Q3", "Q4"]

plots/bar-race-animated/implementations/python/plotly.py

@@ -18,7 +18,7 @@
 INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
 GRID = "rgba(26,26,23,0.25)" if THEME == "light" else "rgba(240,239,232,0.25)"
 
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7", "#E69F00", "#56B4E9", "#F0E442"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030", "#2ABCCD", "#954477"]
 
 # Data: Major economy GDP rankings (approximate, in trillion USD, 1995–2023)
 np.random.seed(42)
@@ -27,7 +27,7 @@
 years = list(range(1995, 2024))
 
 base_gdp = {"USA": 7.70, "China": 0.73, "Japan": 5.45, "Germany": 2.60, "UK": 1.28, "France": 1.60, "Brazil": 0.77}
-color_map = dict(zip(countries, OKABE_ITO))
+color_map = dict(zip(countries, IMPRINT))
 
 data_rows = []
 for country in countries:

plots/bar-spine/implementations/python/plotly.py

@@ -41,8 +41,8 @@
 # Conditional proportions within each bar (heights sum to 1)
 outcome_props = {k: [cnt / m for cnt, m in zip(v, channel_sizes)] for k, v in outcome_counts.items()}
 
-# Okabe-Ito palette: Active=green(1), On Trial=orange(5), Cancelled=vermillion(2)
-COLORS = {"Active": "#009E73", "On Trial": "#E69F00", "Cancelled": "#D55E00"}
+# imprint semantic anchors: Active=green, On Trial=amber (warning), Cancelled=red (bad)
+COLORS = {"Active": "#009E73", "On Trial": "#DDCC77", "Cancelled": "#AE3030"}
 
 # Plot
 fig = go.Figure()

plots/bar-stacked-labeled/implementations/python/plotly.py

@@ -22,7 +22,7 @@
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
 # Okabe-Ito palette (first series is ALWAYS #009E73)
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3", "#BD8233"]
 
 # Data: Quarterly revenue by product category
 quarters = ["Q1 2024", "Q2 2024", "Q3 2024", "Q4 2024", "Q1 2025"]
@@ -43,7 +43,7 @@
 fig = go.Figure()
 
 # Add stacked bars for each product
-for product, color in zip(products, OKABE_ITO, strict=True):
+for product, color in zip(products, IMPRINT, strict=True):
     fig.add_trace(
         go.Bar(
             name=product,

plots/bar-stacked-percent/implementations/python/plotly.py

@@ -19,7 +19,7 @@
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
 # Okabe-Ito palette - first color is always #009E73
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7", "#E69F00"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030"]
 
 # Data: Smartphone OS market share across world regions
 categories = ["North America", "South America", "Europe", "Africa", "Asia"]
@@ -45,7 +45,7 @@
             name=component,
             x=categories,
             y=df[component].values,
-            marker=dict(color=OKABE_ITO[i], line=dict(width=0)),
+            marker=dict(color=IMPRINT[i], line=dict(width=0)),
             text=[f"{v:.0f}%" for v in df[component].values],
             textposition="inside",
             textfont=dict(size=16, color="white"),

plots/bar-stacked/implementations/python/plotly.py

@@ -19,7 +19,7 @@
 GRID_SUBTLE = "rgba(26,26,23,0.04)" if THEME == "light" else "rgba(240,239,232,0.04)"
 
 # Okabe-Ito palette (first series always #009E73)
-COLORS = ["#009E73", "#D55E00", "#0072B2", "#CC79A7"]
+COLORS = ["#009E73", "#C475FD", "#4467A3", "#BD8233"]
 
 # Data - Quarterly revenue by product category
 quarters = ["Q1 2024", "Q2 2024", "Q3 2024", "Q4 2024"]

plots/biplot-pca/implementations/python/plotly.py

@@ -22,7 +22,7 @@
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
 # Okabe-Ito palette (first series is always #009E73)
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3"]
 
 # Load data
 iris = load_iris()
@@ -52,7 +52,7 @@
             x=scores[mask, 0],
             y=scores[mask, 1],
             mode="markers",
-            marker={"size": 14, "color": OKABE_ITO[i], "opacity": 0.8, "line": {"width": 1, "color": PAGE_BG}},
+            marker={"size": 14, "color": IMPRINT[i], "opacity": 0.8, "line": {"width": 1, "color": PAGE_BG}},
             name=target.capitalize(),
             legendgroup=target,
         )

plots/bland-altman-basic/implementations/python/plotly.py

@@ -19,7 +19,7 @@
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
 BRAND = "#009E73"
-ACCENT = "#D55E00"
+ACCENT = "#C475FD"
 
 # Data - Glucose meter readings comparison (medical device validation)
 np.random.seed(73)

plots/box-grouped/implementations/python/plotly.py

@@ -19,7 +19,7 @@
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
 # Okabe-Ito palette
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3"]
 
 # Data - Employee performance scores by department and experience level
 np.random.seed(42)
@@ -73,7 +73,7 @@
             x=x_vals,
             y=y_vals,
             name=subcat,
-            marker_color=OKABE_ITO[i],
+            marker_color=IMPRINT[i],
             boxmean=False,
             line={"width": 2},
             marker={"size": 8, "opacity": 0.7},

plots/box-horizontal/implementations/python/plotly.py

@@ -19,7 +19,7 @@
 INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
 GRID = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
 
-OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7", "#E69F00", "#56B4E9"]
+IMPRINT = ["#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030", "#2ABCCD"]
 
 # Data - Response times (ms) by service type
 np.random.seed(42)
@@ -64,9 +64,9 @@
             x=service_data,
             name=service,
             orientation="h",
-            marker=dict(color=OKABE_ITO[i % len(OKABE_ITO)], size=8, outliercolor=OKABE_ITO[i % len(OKABE_ITO)]),
-            line=dict(color=OKABE_ITO[i % len(OKABE_ITO)], width=2),
-            fillcolor=OKABE_ITO[i % len(OKABE_ITO)],
+            marker=dict(color=IMPRINT[i % len(IMPRINT)], size=8, outliercolor=IMPRINT[i % len(IMPRINT)]),
+            line=dict(color=IMPRINT[i % len(IMPRINT)], width=2),
+            fillcolor=IMPRINT[i % len(IMPRINT)],
             opacity=0.7,
             boxmean=False,
             hovertemplate="<b>%{name}</b><br>Value: %{x:.1f} ms<extra></extra>",