Plot pressure

read_csv.py

@@ -3,26 +3,35 @@ import matplotlib.pyplot as plt
 from scipy import signal
 import numpy as np
 
-with open('sense_hat_data_2019_01_04_00_00.csv') as f:
+with open('sense_hat_data_2019_01_09_12.csv') as f:
     datas = csv.reader(f)
     header = next(datas)
     temp = []
     time = []
+    pressure = []
     for row in datas:
         time.append(float(row[0]))
         temp.append(float(row[2]))
+        pressure.append(float(row[3]))
 
-print(temp)
+#print(temp)
 
 temp_decimate = signal.decimate(temp, 10, 3, zero_phase=True)
-print(temp_decimate)
+#print(temp_decimate)
 temp_mean = np.mean(temp)
 print(temp_mean)
 
 temp_filtered = signal.savgol_filter(temp, 53, 3)
+pressure_filtered = signal.savgol_filter(pressure, 53, 3)
+
+fig_temp, ax_temp = plt.subplots()
+ax_temp.plot(time,temp)
+ax_temp.plot(time,temp_filtered)
+
+fig_pres, ax_pres = plt.subplots()
+ax_pres.plot(time, pressure)
+ax_pres.plot(time, pressure_filtered)
 
-plt.plot(time,temp)
-plt.plot(time,temp_filtered)
 plt.show()