62 lines
1.3 KiB
Python
62 lines
1.3 KiB
Python
#! /usr/bin/python3
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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lognum = 2
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plt.ioff()
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plt.style.use('bmh')
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plt.rcParams['axes.facecolor'] = 'white'
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plt.figure(figsize=(8,6))
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data = pd.read_csv("./log_poticalib_ana_{:02d}.csv".format(lognum))
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print(data)
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#plt.errorbar(
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# data['time'],
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# data['act_curr_ps'],
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# yerr=data['act_curr_ps']*.002,
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# label="Spannungsquelle Ausgang",
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# fmt='.'
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#)
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#plt.errorbar(
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# data['time'],
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# data['act_curr_el']-.125,
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# label="Elektronische Last Eingang",
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# fmt='.'
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#)#
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data['val_poti'] = data['val_poti'].map(lambda x: int(x, base=16))
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data['r_bcu/kohm'] = 2*4.7+1/(1/data['r_restheo/kohm']+1/75)
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data['v_bcutheo/v'] = 0.7+0.7*30.1/(data['r_bcu/kohm']+6.49)
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plt.errorbar(
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data['r_bcu/kohm'],
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data['v_keith/v'],
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yerr=data['dv_keith/v'],
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label="V$_{Keith,IV8A}$",
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fmt='.'
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)
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plt.errorbar(
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data['r_bcu/kohm'],
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data['v_pit/v'],
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yerr=data['dv_pit/v)'],
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label="V$_{PIT,IV8A}$",
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fmt='.'
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)
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plt.plot(
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data['r_bcu/kohm'],
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data['v_bcutheo/v'],
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label="V$_{BCU,O}$"
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)
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plt.xlabel('$R_{BCU,Set}$/k$\Omega$')
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plt.ylabel('V$_{1V8A}$/V')
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plt.legend()
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#-plt.savefig("2kw_direct.png")
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plt.savefig("adccalib_{:02d}.pdf".format(lognum), transparent=True)
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