diff --git a/color_poster.py b/color_poster.py
index 1f40b83..d55ef93 100644
--- a/color_poster.py
+++ b/color_poster.py
@@ -3,9 +3,14 @@ from typing import List
 import matplotlib.colors as mcolors
 import matplotlib.pyplot as plt
 import numpy as np
+from matplotlib.font_manager import FontProperties
+
+pt_mono_font = FontProperties(
+    fname="/usr/share/fonts/truetype/PT_Mono/PTMono-Regular.ttf"
+)
 
 # set font by default to courier new
-plt.rcParams["font.family"] = "PT Mono"
+# plt.rcParams["font.family"] = "PT Mono"
 # # sort by the proximity to the colors in viridis
 # # Importing necessary functions
 
@@ -63,6 +68,7 @@ def create_color_calibration_image(
             color.replace("xkcd:", ""),
             va="center",
             fontsize=fontsize,
+            fontproperties=pt_mono_font,
             # bbox=dict(facecolor='gray', alpha=0.21),
         )
         ax.text(
@@ -71,6 +77,7 @@ def create_color_calibration_image(
             f"{hex_code}\n({rgb_triple})",
             va="center",
             fontsize=6,
+            fontproperties=pt_mono_font,
             # bbox=dict(facecolor='gray', alpha=0.33),
         )
         # ax.text(
@@ -79,6 +86,7 @@ def create_color_calibration_image(
         #     f"{hex_code}",
         #     va="center",
         #     fontsize=fontsize * 0.6,
+        #     fontproperties=pt_mono_font,
         # )
 
         # Draw color square
@@ -160,7 +168,7 @@ if __name__ == "__main__":
         "--rows", type=int, default=73, help="Number of entries per column"
     )
     parser.add_argument(
-        "--dir", type=str, default="/Volumes/TMP/tests", help="Directory to save images"
+        "--dir", type=str, default="~/color/out", help="Directory to save images"
     )
     parser.add_argument(
         "-k",
diff --git a/scripts/sortcolor.py b/scripts/sortcolor.py
index 61a24cf..30fee9b 100644
--- a/scripts/sortcolor.py
+++ b/scripts/sortcolor.py
@@ -81,10 +81,6 @@ def peano_curve(n):
     return curve
 
 
-PDIR = f"scripts"
-Path(PDIR).mkdir(parents=True, exist_ok=True)
-file_path = f"{PDIR}/{KIND}_sorted_indices.npy"
-
 if KIND in ("lex", "alpha", "abc"):
     preds = np.array(colors)
 
@@ -114,7 +110,9 @@ elif KIND == "umap":
         # Sort colors by the 1D representation
         preds = embedding[:, 0]
         del reducer, embedding
-
+    # Save the preds to disk
+    print(f"Saving {file_path}")
+    np.save(file_path, preds.ravel())
 
 elif KIND in ("cielab", "lab", "ciede2000"):
     from skimage.color import deltaE_ciede2000, rgb2lab
@@ -148,13 +146,15 @@ elif KIND == "hsv":
 else:
     raise ValueError(f"Unknown kind: {KIND}")
 
-# Save the sorted indices to disk
-print(f"Saving {file_path}")
-np.save(file_path, preds.ravel())
 
+PDIR = f"scripts"
+Path(PDIR).mkdir(parents=True, exist_ok=True)
+file_path = f"{PDIR}/{KIND}_sorted_indices.npy"
 # Sort colors by the 1D representation
 sorted_indices = np.argsort(preds)
 sorted_colors = [colors[i] for i in sorted_indices]
+print(f"Saving {file_path}")
+np.save(file_path, sorted_indices.ravel())
 
 # # Display the sorted colors around the ring of a circle
 # # Create a new figure for the circle visualization