#! /usr/bin/python3

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

lognum = 2

plt.ioff()
plt.style.use('bmh')
plt.rcParams['axes.facecolor'] = 'white'
fig, axa = plt.subplots(1, figsize=(8,4), sharex='all', gridspec_kw={'height_ratios': [1]})
axa = [axa]
data = pd.read_csv("./log_poticalib_ana_{:02d}.csv".format(lognum))

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='.'
#)#

data['val_poti'] = data['val_poti'].map(lambda x: int(x, base=16))
data['r_bcu/kohm'] = 2*4.7+1/(1/data['r_restheo/kohm']+1/75)

data['v_bcutheo/v'] = 0.7+0.7*30.1/(data['r_bcu/kohm']+6.49)

axa[0].errorbar(
    data['r_bcu/kohm'],
    data['v_keith/v'],
    yerr=data['dv_keith/v'],
    label="V$_{Keith,1.8V,ana}$",
    fmt='.'
)
axa[0].errorbar(
    data['r_bcu/kohm'],
    data['v_pit/v'],
    yerr=data['dv_pit/v)'],
    label="V$_{PIT,1.8V,ana}$",
    fmt='.'
)
axa[0].plot(
    data['r_bcu/kohm'],
    data['v_bcutheo/v'],
    label="V$_{BCU,O}$"
)

axa[0].set_xlabel('$R_{BCU,Set}$/k$\Omega$')
#axa[1].set_ylabel('Residuals / %$_{err}$')
axa[0].set_ylabel('V$_{1.8V, Analog}$/V')
axa[0].legend()

plt.savefig("adccalib_{:02d}.pdf".format(lognum), transparent=True)