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data_read.py

+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+import sys
+import os.path
+
+if len(sys.argv)==1:
+    print('usage : python read_data.py <date des données>')
+    exit()
+else:
+    nom = sys.argv[1]
+    path= "LOG_14/" + nom
+if os.path.isfile(path)==False:
+    print('la date '+path+' n\'existe pas')
+    exit()
+
+df=pd.read_csv(path+"00.csv",sep=';',skiprows=[0])
+print('Taille du tableau lu :');print(df.shape)
+print('Libellé des colonnes :');print(df.dtypes)
+temps0 = pd.to_datetime(df.loc[:,'Date'])
+delta_t0=df.loc[:,'delta_t'].values
+t0=np.cumsum((delta_t0 / 3600)) + 13.26
+U0=df['U'];U_moy=df['U_moy']
+I0=df['I'];I_moy=df['I_moy']
+
+df=pd.read_csv(path+"01",sep=';',skiprows=[0])
+print('Taille du tableau lu :');print(df.shape)
+print('Libellé des colonnes :');print(df.dtypes)
+temps1 = pd.to_datetime(df.loc[:,'Date'])
+delta_t1=df.loc[:,'delta_t'].values
+t1=np.cumsum((delta_t0 / 3600)) + 13.26
+U1=df['U'];U_moy=df['U_moy']
+I1=df['I'];I_moy=df['I_moy']
+
+df=pd.read_csv(path+"02.csv",sep=';',skiprows=[0])
+print('Taille du tableau lu :');print(df.shape)
+print('Libellé des colonnes :');print(df.dtypes)
+temps2 = pd.to_datetime(df.loc[:,'Date'])
+delta_t2=df.loc[:,'delta_t'].values
+t2=np.cumsum((delta_t2 / 3600)) + 13.26
+U2=df['U'];U_moy=df['U_moy']
+I2=df['I'];I_moy=df['I_moy']
+
+df=pd.read_csv(path+"03.csv",sep=';',skiprows=[0])
+print('Taille du tableau lu :');print(df.shape)
+print('Libellé des colonnes :');print(df.dtypes)
+temps3 = pd.to_datetime(df.loc[:,'Date'])
+delta_t3=df.loc[:,'delta_t'].values
+t3=np.cumsum((delta_t1 / 3600)) + 13.26
+U3=df['U'];U_moy=df['U_moy']
+I3=df['I'];I_moy=df['I_moy']
+
+#display
+fig, axs = plt.subplots(1,2)
+#crnt
+axs[0].plot(t,U_moy,'--.r',label='U_moy')
+axs[0].plot(t,I_moy,'--.r',label='I_moy')
+axs[0].plot(t,U,'--.b',label='U')
+axs[0].plot(t,I,'--.b',label='I')
+axs[0].set_title("voltage")
+axs[0].legend()
+#tension
+#show
+fig.suptitle("channel : " + nom[6:8])
+plt.show()
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