In [1]:

    

from scipy import stats
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import numpy as np
import auswertung as au


    

In [28]:

    

au.import_experiment_data('../Daten/2017-05-08-1434-Aufgabe 6')
print(au.messungen)
print(au.messgroessen)


    

    




[[  1.00000000e+03   5.10000000e+02   2.46000000e+02   1.23000000e+02
    6.30000000e+01   3.06000000e+01   1.48000000e+01   7.90000000e+00
    3.94000000e+00   2.00000000e+00   1.06000000e+00   4.91000000e-01
    2.76000000e-01   1.25000000e-01   4.10000000e-02   1.30000000e-02
    1.40000000e-02]
 [  5.20000000e+00   1.72000000e+00   1.40000000e+00   1.14000000e+00
    8.20000000e-01   5.70000000e-01   4.30000000e-01   3.40000000e-01
    3.42000000e-01   3.12000000e-01   3.67000000e-01   3.48000000e-01
    3.64000000e-01   4.27000000e-01   6.10000000e-01   8.11000000e+00
    7.19000000e+00]]
[['Druck IM', 'Bar', 'IM', -3, 0.0], ['Spannung U', 'Volt', 'U', 3, 0.0]]

In [29]:

    

DruckT3 = au.messungen[0]
Zyklen = au.messungen[1]


    

In [30]:

    

# create LaTeX table
tabellendaten = au.pivot_table(au.messungen)
au.Create_Messdaten_tabellen('../Daten/Aufgabe6Tabelle',au.messgroessen, tabellendaten)


    

In [31]:

    

plt.rc('text', usetex=True)
plt.rc('font', family='serif')


    

In [32]:

    

figure = plt.figure()
axis_1= figure.add_subplot(111)
xlabel_1 = axis_1.set_xlabel('$log_{10} Druck$')
ylabel_1 = axis_1.set_ylabel('Durchschlagsspannung [kV]')
SpLogp = axis_1.plot(np.log10(DruckT3), Zyklen, color='blue', marker='x', linestyle ='', label='Durchschlagsspannung')
plt.legend()

plt.savefig('../Daten/grap_aufgabe_6.pdf')

plt.show()