diff --git a/4_show.py b/4_show.py
new file mode 100644
index 0000000..7276dd6
--- /dev/null
+++ b/4_show.py
@@ -0,0 +1,24 @@
+import numpy as np
+import torch
+from Anime import Anime
+
+# Convert from avi to npy
+filename: str = "example_data_crop"
+
+
+torch_device: torch.device = torch.device(
+    "cuda:0" if torch.cuda.is_available() else "cpu"
+)
+
+print("Load data")
+input = np.load(filename + str("_decorrelated.npy"))
+data = torch.tensor(input, device=torch_device)
+del input
+print("loading done")
+
+data = data.nan_to_num(nan=0.0)
+#data -= data.min(dim=0, keepdim=True)[0]
+
+
+ani = Anime()
+ani.show(data, vmin=0.0)
diff --git a/4b_show.py b/4b_show.py
new file mode 100644
index 0000000..82c070d
--- /dev/null
+++ b/4b_show.py
@@ -0,0 +1,24 @@
+import numpy as np
+import torch
+from Anime import Anime
+
+# Convert from avi to npy
+filename: str = "example_data_crop"
+
+
+torch_device: torch.device = torch.device(
+    "cuda:0" if torch.cuda.is_available() else "cpu"
+)
+
+print("Load data")
+input = np.load(filename + str("_decorrelated.npy"))
+data = torch.tensor(input, device=torch_device)
+del input
+print("loading done")
+
+data = data.nan_to_num(nan=0.0)
+data -= data.min(dim=0, keepdim=True)[0]
+data *= data.std(dim=0, keepdim=True)
+
+ani = Anime()
+ani.show(data)