In [1]:

    

import matplotlib.pyplot as plt
import numpy as np
import sys, os


    

In [7]:

    

import matplotlib as mpl
mpl.rcParams.update({'font.size': 24, 'font.family': 'STIXGeneral', 'mathtext.fontset': 'stix'})


    

In [2]:

    

%matplotlib inline


    

In [3]:

    

with open('kalt-source.csv', 'r') as kfile:
    lambdas = [float(x) for x in kfile.readline().split()[1:]]
    intensity = [float(x) for x in kfile.readline().split()[1:]]


    

In [14]:

    

fig = plt.figure(figsize=(12,9), dpi=100)
ax = fig.add_subplot(111)
ax.plot(lambdas, intensity)
ax.set_xlabel(r'wavelength $\lambda$ [nm]')
ax.set_ylabel('Intensity [counts]')
fig.suptitle('Spektrum kalt')
fig.savefig('spektrum_kalt.png', bbox_inches='tight')


    

In [10]:

    

with open('warm-source.csv', 'r') as kfile:
    lambdas2 = [float(x) for x in kfile.readline().split()[1:]]
    intensity2 = [float(x) for x in kfile.readline().split()[1:]]


    

In [16]:

    

fig2 = plt.figure(figsize=(12,8), dpi=100)
ax2 = fig2.add_subplot(111)
ax2.plot(lambdas2, intensity2)
ax2.set_xlabel(r'wavelength $\lambda$ [nm]')
ax2.set_ylabel('Intensity [counts]')
fig2.suptitle('Spektrum warm')
fig2.savefig('spektrum_warm.png', bbox_inches='tight')


    

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