Example 1: matplotlib plot
import matplotlib.pyplot as plt
fig = plt.figure(1)
plt.title("Y vs X", fontsize='16')
plt.plot([1, 2, 3, 4], [6,2,8,4])
plt.xlabel("X",fontsize='13')
plt.ylabel("Y",fontsize='13')
plt.legend(('YvsX'),loc='best')
plt.savefig('Y_X.png')
plt.grid()
plt.show()
Example 2: matplotlib plot
>>> rng = np.arange(50)
>>> rnd = np.random.randint(0, 10, size=(3, rng.size))
>>> yrs = 1950 + rng
>>> fig, ax = plt.subplots(figsize=(5, 3))
>>> ax.stackplot(yrs, rng + rnd, labels=['Eastasia', 'Eurasia', 'Oceania'])
>>> ax.set_title('Combined debt growth over time')
>>> ax.legend(loc='upper left')
>>> ax.set_ylabel('Total debt')
>>> ax.set_xlim(xmin=yrs[0], xmax=yrs[-1])
>>> fig.tight_layout()
Example 3: figure in matplotlib
pyplot.figure(num=None, figsize=None, dpi=None, facecolor=None,
edgecolor=None, frameon=True, FigureClass=<class 'matplotlib.figure.Figure'>,
clear=False, **kwargs)
Example 4: pyplot.plot
plot([x], y, [fmt], *, data=None, **kwargs)
plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)