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

#Daten = pd.read_csv("Titration.csv", skiprows=1, sep="\t", encoding="UTF-8", decimal=",")
#print(Daten)
plt.rcParams.update({'font.size': 16,
                     'lines.linewidth': 3,
                     'lines.markersize': 10,
                     'figure.figsize': [7 * 1.2, 7],
                     'font.family': 'Arial'})

Datei = "Titration.txt"
RelevanteDaten = pd.read_csv(Datei, skiprows=1, delim_whitespace=True,
                             header=None, names=["Volumen", "pH"], decimal=",")
print(RelevanteDaten)

plt.plot(RelevanteDaten["Volumen"], RelevanteDaten["pH"], "--", color="k")
plt.ylabel("pH-Wert")
plt.xlabel("Volumen(NaOH) / ml")
plt.title("Titrationskurve von Essigsäure mit Natronlauge")
plt.ylim(0, 14)
plt.xlim(0, 41.5)
plt.axhspan(3.75, 5.75, color="lightgray")
plt.axhline(y=4.75, xmin=0, xmax=0.325, color="b", linestyle="--", linewidth=2)
plt.axvline(x=13.5, ymin=0, ymax=0.34, color="b", linestyle="--", linewidth=2)
plt.axvline(x=26, ymin=0, ymax=0.63, color="b", linestyle="--", linewidth=2)
plt.axhline(y=8.75, xmin=0, xmax=0.62, color="b", linestyle="--", linewidth=2)
plt.axhline(y=7, xmin=0, xmax=0.62, color="r", linestyle="--", linewidth=1)
plt.axvline(x=25.6, ymin=0, ymax=0.5, color="r", linestyle="--", linewidth=1)
plt.show()