diff --git a/scripts/icar_visualization.py b/scripts/icar_visualization.py
index 59051886..4a01e89e 100644
--- a/scripts/icar_visualization.py
+++ b/scripts/icar_visualization.py
@@ -1,16 +1,24 @@
 # IPython log file
 
-import xarray as xr
+import os
+import xarray as xr 
 import matplotlib.pyplot as plt
-
-ds=xr.open_dataset("output_simple/icar_out_000001_2000-10-01_00-00-00.nc") # image 000001 domain partition
+import matplotlib.animation as animation
+ 
+data_dir_path=os.environ.get("TRAINING_DATA")
+ds=xr.open_mfdataset(data_dir_path + "/training_input-image-_*.nc") # temporarily hardcoded file
 print(ds)
-ds["precipitation"][-1].plot() # -1 refers to last time step
-ds["precipitation"][-1].plot(vmax=2) # set max of color scale (for a longer time, try vmax ~ 2000)
+ds["precipitation"][ -1].plot() # -1 refers to last time step
+#ds["precipitation"][-1].plot(vmax=2) # set max of color scale (for a longer time, try vmax ~ 2000)
+
 
-# write an image to a file
-for i in range(len(ds.time)):
+fig, ax = plt.subplots()
+def func(frame):
     plt.clf()
-    ds["precipitation"][i].plot(vmax=2)
-    plt.pause(0.1) # 0.1 sec pause between frames
-    plt.savefig("file_name.png") # edit this to insert frame number into file name to prevent overwrites 
+    ds["precipitation"][frame].plot(vmax=2)
+   # plt.pause(0.1) #  0.1 sec pause between frames
+
+#anim = animation.FuncAnimation(fig,func,len(ds.time))
+anim = animation.FuncAnimation(fig,func,60)
+
+anim.save('animation02 .mp4','ffmpeg',30)