diff --git a/main.py b/main.py
index 5cdd6af..966e326 100644
--- a/main.py
+++ b/main.py
@@ -12,9 +12,11 @@ from scipy.integrate import cumulative_trapezoid
 
 import matplotlib.pyplot as plt
 
+
+# R =3.4 ohm
 SINE_FREQ = 100e3
 
-CYCLE_COUNT = 100
+CYCLE_COUNT = 10
 
 DIV_COUNT = 10
 
@@ -23,16 +25,18 @@ OSC_CHANNEL_A = 1  # GEN signal
 OSC_CHANNEL_B = 2  # OUT
 GEN_CHANNEL = siglent.ChannelID.CH1
 
-UPPER_BOUND_DIV = 8
+UPPER_BOUND_DIV = 7
 LOWER_BOUND_DIV = 3
 TARGET_DIV = (UPPER_BOUND_DIV + LOWER_BOUND_DIV) / 2
 
 PATH = "/home/zychlix/Desktop/pomiary/out"
+PATH_BH = "/home/zychlix/Desktop/pomiary/out_BH"
+PATH_BH_RAW = "/home/zychlix/Desktop/pomiary/out_BH_raw"
 
-R0 = 99.4
+R0 = 99.5
 
-AMPLITUDE = 3
-COUNT = 200
+AMPLITUDE = 10
+COUNT = 50
 
 
 class ImpedanceAnalyzer:
@@ -52,6 +56,7 @@ class ImpedanceAnalyzer:
         self.dc = 0
 
         self.scales = [10] * (CHANNEL_COUNT + 1)
+
         return
 
     def getImpedance(self, freq: float):
@@ -77,7 +82,9 @@ class ImpedanceAnalyzer:
 
         print(f"{freq} V_a {v_a} V_o {v_o}")
 
-        z = R0 * (v_a - v_o) / v_o
+        # z = R0 * (v_o) / v_o  #resistor to gnd
+
+        z = R0 * (v_o) / (v_a - v_o)  # resistor to input
         # z = v_a / (v_o / R0)
 
         self.debug_voltages.append([np.abs(v_a), np.abs(v_o)])
@@ -87,8 +94,10 @@ class ImpedanceAnalyzer:
     def getScaledWaveform(self, ch):
         data = self.osc.getChannel(ch).getWaveform()
         vpp = self.calculateVRMS(data) * 2 * np.sqrt(2)
+        print(f"VPP measured from rms: {vpp} on channel {ch}: SCALE {self.scales[ch]}")
+
         if not (LOWER_BOUND_DIV < vpp / self.scales[ch] < UPPER_BOUND_DIV):
-            # self.autoscale(ch)
+            self.autoscale(ch)
             time.sleep(2)  # change back to 1
             self.osc.single()
             data = self.osc.getChannel(ch).getWaveform()
@@ -116,7 +125,8 @@ class ImpedanceAnalyzer:
 
             data = self.osc.getChannel(channel).getWaveform()
             time.sleep(1)
-            rms = self.calculateVRMS(data)
+            # rms = self.calculateVRMS(data)
+            min = numpy.dat
             vpp = rms * 2 * np.sqrt(2)
 
             if LOWER_BOUND_DIV < vpp / self.scales[channel] < UPPER_BOUND_DIV:
@@ -132,6 +142,7 @@ class ImpedanceAnalyzer:
                 self.scales[channel] = self.osc.getChannel(channel).clampVscale(
                     vpp / TARGET_DIV
                 )
+
             self.osc.getChannel(channel).setVScale(self.scales[channel])
             print(
                 f"Autoscaled channel: {channel}, RMS: {rms}, Vpp:{vpp}, Scale:{self.scales[channel]}"
@@ -140,13 +151,13 @@ class ImpedanceAnalyzer:
         return
 
     def PlotBH(self, freq, amplitude):
-        setWindowSize(self.osc, 1, freq)
+        setWindowSize(self.osc, 2, freq)
 
         self.gen.channels[GEN_CHANNEL].apply_sine(freq, amplitude, self.dc)
         self.gen.channels[GEN_CHANNEL].set_output(True)
 
         self.osc.run()
-        time.sleep(5)
+        time.sleep(2)
 
         self.osc.single()
 
@@ -166,9 +177,11 @@ class ImpedanceAnalyzer:
         B = (
             cumulative_trapezoid(v_l, time_array, initial=0) / 1
         )  # Correct to proper values
-        H = current_data / R0  # As well as in here
+        H = current_data  # As well as in here
 
         plt.plot(H, B)
+        self.exportZtoCSV(np.array([B, H]).T, PATH_BH_RAW)
+        self.exportZtoCSV(np.array([B, H]).T, PATH_BH)
 
         plt.show()
 
@@ -205,7 +218,7 @@ def main():
 
     # imp = ImpedanceAnalyzer("TCPIP::10.112.1.2::INSTR", "TCPIP::10.112.1.3::INSTR")
 
-    imp = ImpedanceAnalyzer("TCPIP::192.168.1.4::INSTR", "TCPIP::192.168.1.5::INSTR")
+    imp = ImpedanceAnalyzer("TCPIP::192.168.1.2::INSTR", "TCPIP::192.168.1.3::INSTR")
 
     imp.gen.channels[GEN_CHANNEL.CH1].set_output(True)
 
@@ -213,9 +226,9 @@ def main():
 
     # imp.autoscale(2)
 
-    imp.PlotBH(3e3, AMPLITUDE)
+    # imp.PlotBH(10e3, AMPLITUDE)
 
-    return 0
+    # return 0
     z, f = imp.getSweep(2, 7, COUNT)
 
     z_real = np.real(z)
@@ -241,6 +254,7 @@ def main():
     ax[1].legend()
 
     imp.exportZtoCSV(np.array([f, z]).T, PATH)
+    plt.savefig(PATH + ".png")
 
     plt.show()