import matplotlib.pyplot as plt
from tkinter.filedialog import *
from scipy.optimize import curve_fit

fname = askopenfilename()
f = open(fname,"r")
entete = f.readline()
data = f.readlines()
f.close()
data = data[1:]
t = []
x = []
y = []
for ligne in data:
    temporaire = ligne.strip().replace(",",".").split(";")
    t.append(float(temporaire[0]))
    y.append(float(temporaire[1]))
print(y)
print(x)

temps = []

for i in range(len(t)):
    temps.append(t[i])
del temps[-1]
del temps[0]

vx=[]
vy=[]
dt=t[1]-t[0]
xbis=[]
ybis=[]
for i in range(0,len(y)-1):
    xbis.append(0)
    ybis.append(y[i])
    vx.append((0))
    vy.append(.......)#à completer

plt.quiver(xbis,ybis,vx,vy,units='dots', angles="xy", scale_units='xy',scale=30,color=['green'], label='vecteurs vitesse')
plt.plot(xbis,ybis,'.')
plt.legend()
plt.xlabel('position selon x')
plt.show()