feat(plotly): implement scatter-color-groups

plots/plotly/scatter/scatter-color-groups/default.py

@@ -0,0 +1,70 @@
+"""
+scatter-color-groups: Scatter Plot with Color Groups
+Library: plotly
+"""
+
+import numpy as np
+import pandas as pd
+import plotly.express as px
+
+
+# Data - iris-like dataset with three species groups
+np.random.seed(42)
+n_per_group = 50
+
+# Generate data for three species groups with distinct cluster patterns
+setosa = pd.DataFrame(
+    {
+        "sepal_length": np.random.normal(5.0, 0.35, n_per_group),
+        "sepal_width": np.random.normal(3.4, 0.38, n_per_group),
+        "species": "setosa",
+    }
+)
+versicolor = pd.DataFrame(
+    {
+        "sepal_length": np.random.normal(5.9, 0.52, n_per_group),
+        "sepal_width": np.random.normal(2.8, 0.31, n_per_group),
+        "species": "versicolor",
+    }
+)
+virginica = pd.DataFrame(
+    {
+        "sepal_length": np.random.normal(6.6, 0.64, n_per_group),
+        "sepal_width": np.random.normal(3.0, 0.32, n_per_group),
+        "species": "virginica",
+    }
+)
+data = pd.concat([setosa, versicolor, virginica], ignore_index=True)
+
+# Color palette matching style guide
+colors = ["#306998", "#FFD43B", "#DC2626", "#059669", "#8B5CF6", "#F97316"]
+
+# Create plot
+fig = px.scatter(
+    data,
+    x="sepal_length",
+    y="sepal_width",
+    color="species",
+    color_discrete_sequence=colors,
+    title="Scatter Plot with Color Groups",
+)
+
+# Update layout for styling
+fig.update_layout(
+    template="plotly_white",
+    xaxis_title="Sepal Length (cm)",
+    yaxis_title="Sepal Width (cm)",
+    title={"font": {"size": 40}, "x": 0.5, "xanchor": "center"},
+    font={"size": 32},
+    legend={"title": {"text": "Species", "font": {"size": 32}}, "font": {"size": 28}, "itemsizing": "constant"},
+)
+
+# Update axes for readability
+fig.update_xaxes(title_font={"size": 40}, tickfont={"size": 32}, gridcolor="#E5E5E5")
+fig.update_yaxes(title_font={"size": 40}, tickfont={"size": 32}, gridcolor="#E5E5E5")
+
+# Update markers for better visibility
+fig.update_traces(marker={"size": 16, "opacity": 0.8, "line": {"width": 1, "color": "white"}})
+
+# Save as PNG (4800 x 2700 px)
+fig.write_image("plot.png", width=1600, height=900, scale=3)