import matplotlib.pyplot as plt

fig = plt.figure()
plt.show()

ax = plt.axes()
plt.show()

ax = plt.axes()
line1, = ax.plot([0, 1, 2, 1.5], [3, 1, 2, 4])
plt.show()







plt.plot([0, 1, 2, 1.5], [3, 1, 2, 4])
plt.show()



top_right_ax = plt.subplot(2, 3, 3)
bottom_left_ax = plt.subplot(2, 3, 4)

plt.show()



import numpy as np

x = np.linspace(-180, 180, 60)
y = np.linspace(-90, 90, 30)
x2d, y2d = np.meshgrid(x, y)
data = np.cos(3 * np.deg2rad(x2d)) + np.sin(2 * np.deg2rad(y2d))

plt.contourf(x, y, data)
plt.show()

plt.imshow(data, extent=[-180, 180, -90, 90],
           interpolation='nearest', origin='lower')
plt.show()

plt.pcolormesh(x, y, data)
plt.show()

plt.scatter(x2d, y2d, c=data, s=15)
plt.show()

plt.bar(x, data.sum(axis=0), width=np.diff(x)[0])
plt.show()

plt.plot(x, data.sum(axis=0), linestyle='--',
         marker='d', markersize=10, color='red')
plt.show()

fig = plt.figure()
ax = plt.axes()
# Adjust the created axes so its topmost extent is 0.8 of the figure.
fig.subplots_adjust(top=0.8)

fig.suptitle('Figure title', fontsize=18, fontweight='bold')
ax.set_title('Axes title', fontsize=16)

ax.set_xlabel('The X axis')
ax.set_ylabel('The Y axis $y=f(x)$', fontsize=16)

ax.text(0.5, 0.5, 'Text centered at (0.5, 0.5)\nin data coordinates.',
        horizontalalignment='center', fontsize=14)

plt.show()

x = np.linspace(-3, 7, 200)
plt.plot(x, 0.5*x**3 - 3*x**2, linewidth=2,
         label='$f(x)=0.5x^2-3x^2$')
plt.plot(x, 1.5*x**2 - 6*x, linewidth=2, linestyle='--',
         label='Gradient of $f(x)$', )
plt.legend(loc='lower right')
plt.grid()
plt.show()

x = np.linspace(-180, 180, 60)
y = np.linspace(-90, 90, 30)
x2d, y2d = np.meshgrid(x, y)
data = np.cos(3 * np.deg2rad(x2d)) + np.sin(2 * np.deg2rad(y2d))

plt.contourf(x, y, data)
plt.colorbar(orientation='horizontal')
plt.show()

x = np.linspace(-3, 7, 200)
plt.plot(x, 0.5*x**3 - 3*x**2, linewidth=2)
plt.annotate('Local minimum',
             xy=(4, -18),
             xytext=(-2, -40), fontsize=15,
             arrowprops={'facecolor': 'black', 'frac': 0.3})
plt.grid()
plt.show()

plt.plot(range(10))
plt.savefig('simple.svg')