Protein coverage plot and fasta sequence data support

protzilla/constants/colors.py

@@ -11,4 +11,37 @@
 """First color in list. Conventionally used for visualizing outliers."""
 
 PLOT_SECONDARY_COLOR = PLOT_COLOR_SEQUENCE[1]
-"""Second color in list."""
+"""Second color in list."""
+
+
+def interpolate_color(color_a, color_b, t):
+    """
+    Interpolate between two RGB color strings based on a float t between 0 and 1.
+
+    Args:
+        color_a (str): RGB color string in the format "#RRGGBB".
+        color_b (str): RGB color string in the format "#RRGGBB".
+        t (float): A float between 0 and 1 representing the interpolation factor.
+
+    Returns:
+        str: Interpolated color as an RGB string in the format "#RRGGBB".
+    """
+    if not (0 <= t <= 1):
+        raise ValueError("Interpolation factor t must be between 0 and 1")
+
+    # Convert hex color strings to RGB tuples
+    def hex_to_rgb(hex_color):
+        hex_color = hex_color.lstrip("#")
+        return tuple(int(hex_color[i : i + 2], 16) for i in (0, 2, 4))
+
+    # Convert RGB tuples back to hex color strings
+    def rgb_to_hex(rgb):
+        return f"#{''.join(f'{c:02x}' for c in rgb)}"
+
+    rgb_a = hex_to_rgb(color_a)
+    rgb_b = hex_to_rgb(color_b)
+
+    # Interpolate each color channel
+    interpolated_rgb = tuple(int(a + (b - a) * t) for a, b in zip(rgb_a, rgb_b))
+
+    return rgb_to_hex(interpolated_rgb)