diff --git a/Python/lib/waveform.py b/Python/lib/waveform.py
index 3d84b1b7562819577be3107669731f5a3a6f8eb4..74fed31d312420cf0b86092e66ea89f041228aa9 100644
--- a/Python/lib/waveform.py
+++ b/Python/lib/waveform.py
@@ -54,6 +54,18 @@ class Waveform:
         self.phi = data['phi']
         self.sample_rate = data['sample_rate']
 
+    def save_csv(self, filename: str):
+        with open(filename, "w") as file:
+            file.write(f"{self.sample_rate}\n")
+            file.write(f"{int(self.freq_res)}\n")
+        with open(filename, "a") as file:
+            np.savetxt(file, np.round(self.omega / 2 / np.pi), fmt="%d", delimiter='', newline=",")
+            file.write("\n")
+            np.savetxt(file, self.phi, fmt="%d", delimiter='', newline=",")
+            file.write("\n")
+            np.savetxt(file, self.amplitude, fmt="%d", delimiter='', newline=",")
+            file.write("\n")
+
 
 def create_static_array(
     wfm: Waveform,
@@ -81,7 +93,6 @@ def create_static_array(
         # shape=(number of tweezers x sample_len)
     )
     sin_mat = (wfm.amplitude * sin_mat.T).T  # this works, trust me
-
     # sum up all rows to get final signal
     sig = np.sum(sin_mat, axis=0)
     if np.max(sig) >= 2 ** 15 - 1:
@@ -394,7 +405,7 @@ def tricky_trick(
             n += 1
             tau_stay = n / df - tau_move
     else:
-        n = np.ceil(tau_move + tau_stay) * df
+        n = np.ceil((tau_move + tau_stay) * df)
         tau_stay = n / df - tau_move
     print(f"stay = {tau_stay*1e6:.1f} us")
     print(f"move = {tau_move*1e6:.1f} us")