In [2]:

    

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


    

In [9]:

    

au.import_experiment_data('../Daten/2017-05-08-1424-Aufgabe 5')
print(au.messungen)
print(au.messgroessen)


    

    




[[  8.10000000e-03   3.68000000e+00   7.42000000e+00   1.13000000e+01
    1.58000000e+01   1.95000000e+01   2.41000000e+01   2.84000000e+01
    3.25000000e+01   3.75000000e+01   4.29000000e+01   4.70000000e+01
    5.30000000e+01   6.06000000e+01   6.63000000e+01   7.14000000e+01
    7.78000000e+01   8.43000000e+01   9.24000000e+01   1.03000000e+02
    1.13000000e+02   1.22000000e+02   1.31000000e+02]
 [  1.00000000e+00   2.00000000e+00   3.00000000e+00   3.00000000e+00
    4.00000000e+00   5.00000000e+00   6.00000000e+00   7.00000000e+00
    8.00000000e+00   9.00000000e+00   1.00000000e+01   1.10000000e+01
    1.20000000e+01   1.30000000e+01   1.40000000e+01   1.50000000e+01
    1.60000000e+01   1.70000000e+01   1.80000000e+01   1.90000000e+01
    2.00000000e+01   2.10000000e+01   2.20000000e+01]]
[['Druck T3', 'Bar', 'T3', -3, 0.0], ['Zyklen', '-', '-', 0, 0.0]]

In [10]:

    

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


    

In [11]:

    

# create LaTeX table
tabellendaten = au.pivot_table(au.messungen)
au.Create_Messdaten_tabellen('../Daten/Aufgabe5Tabelle',au.messgroessen, tabellendaten)


    

In [12]:

    

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


    

In [14]:

    

figure = plt.figure()
axis_1= figure.add_subplot(111)
xlabel_1 = axis_1.set_xlabel('Zyklen')
ylabel_1 = axis_1.set_ylabel('Druck an T3 [mbar]')
SpLogp = axis_1.plot(Zyklen, DruckT3, color='green', marker='x', linestyle ='', label='Druck in der Glasglocke')
plt.legend()

plt.savefig('../Daten/grap_aufgabe_5.pdf')

plt.show()


    

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