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read_csv.py

@@ -2,15 +2,16 @@ import csv
 import matplotlib.pyplot as plt
 from scipy import signal
 import numpy as np
+from datetime import datetime
 
-with open('sense_hat_data_2019_01_09_12.csv') as f:
+with open('data/sense_hat_data_2019_03_01_00.csv') as f:
     datas = csv.reader(f)
     header = next(datas)
     temp = []
     time = []
     pressure = []
     for row in datas:
-        time.append(float(row[0]))
+        time.append(datetime.fromtimestamp(float(row[0])))
         temp.append(float(row[2]))
         pressure.append(float(row[3]))
 
@@ -27,10 +28,14 @@ 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)
+ax_temp.set_title('Température')
+fig_temp.autofmt_xdate()
 
 fig_pres, ax_pres = plt.subplots()
 ax_pres.plot(time, pressure)
 ax_pres.plot(time, pressure_filtered)
+ax_pres.set_title('Pression')
+fig_pres.autofmt_xdate()
 
 plt.show()