bath/data/processing_adccalib.py

45 lines
782 B
Python

#! /usr/bin/python3
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.ioff()
plt.style.use('bmh')
plt.figure(figsize=(19.2,10.8))
data = pd.read_csv("./log.csv")
print(data)
#plt.errorbar(
# data['time'],
# data['act_curr_ps'],
# yerr=data['act_curr_ps']*.002,
# label="Spannungsquelle Ausgang",
# fmt='.'
#)
#plt.errorbar(
# data['time'],
# data['act_curr_el']-.125,
# label="Elektronische Last Eingang",
# fmt='.'
#)
plt.errorbar(
data['perc_power'],
data['pit_i48'],
fmt='.'
)
plt.errorbar(
data['perc_power'],
data['act_curr_ps'],
fmt='.'
)
#plt.ylabel('$\Delta$I/A')
#plt.xlabel('I$_{set}$/A')
plt.legend()
#-plt.savefig("2kw_direct.png")
plt.savefig("adccalib.eps", format='eps', dpi=1000)