22 lines
1.5 KiB
Python
22 lines
1.5 KiB
Python
from read_baseline_data import *
|
|
#import nix_helpers as nh
|
|
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
from IPython import embed #Funktionen importieren
|
|
|
|
|
|
data_dir = "../data"
|
|
dataset = "2018-11-09-aa-invivo-1"
|
|
#data = ("2018-11-09-aa-invivo-1", "2018-11-09-ab-invivo-1", "2018-11-09-ac-invivo-1", "2018-11-09-ad-invivo-1", "2018-11-13-aa-invivo-1", "2018-11-13-ab-invivo-1", "2018-11-13-ad-invivo-1", "2018-11-09-af-invivo-1", "2018-11-09-ag-invivo-1", "2018-11-13-ah-invivo-1", "2018-11-13-ai-invivo-1", "2018-11-13-aj-invivo-1", "2018-11-13-ak-invivo-1", "2018-11-13-al-invivo-1", "2018-11-14-aa-invivo-1", "2018-11-14-ab-invivo-1", "2018-11-14-ac-invivo-1", "2018-11-14-ad-invivo-1", "2018-11-14-ae-invivo-1", "2018-11-14-af-invivo-1", "2018-11-14-ag-invivo-1", "2018-11-14-aa-invivo-1", "2018-11-14-aj-invivo-1", "2018-11-14-ak-invivo-1", "2018-11-14-al-invivo-1", "2018-11-14-am-invivo-1", "2018-11-14-an-invivo-1", "2018-11-20-aa-invivo-1", "2018-11-20-ab-invivo-1", "2018-11-20-ac-invivo-1", "2018-11-20-ad-invivo-1"," 2018-11-20-ae-invivo-1", "2018-11-20-af-invivo-1", "2018-11-20-ag-invivo-1", "2018-11-20-ah-invivo-1", "2018-11-20-ai-invivo-1")
|
|
time,eod = read_baseline_eod(os.path.join(data_dir, dataset))
|
|
zeit = np.asarray(time)
|
|
|
|
|
|
plt.plot(zeit[0:1000], eod[0:1000])
|
|
plt.title('A.lepto EOD')#Plottitelk
|
|
plt.xlabel('time [ms]', fontsize = 12)#Achsentitel
|
|
plt.ylabel('amplitude[mv]', fontsize = 12)#Achsentitel
|
|
plt.xticks(fontsize = 12)
|
|
plt.yticks(fontsize = 12)
|
|
plt.show()
|