import matplotlib.pyplot as plt
import numpy as np
import scipy as sci

xdata = np.linspace(-1,1,50)
ydata = np.array(np.random.uniform(-1,1,50))

figure,axs = plt.subplots()

axs.set_title('premier exemple')
axs.set_xlabel(' x axis')
axs.set_ylabel(' y axis')

axs.plot(xdata, ydata, label='sample data')
axs.plot(xdata, xdata**2, label='quadratic')
axs.plot(xdata,'s',label='raw xdata')

axs.legend()

plt.show()