import numpy as np
import matplotlib.pyplot as plt
land_temp = np.array([6, 7, 8, 10, 14, 16, 18, 17, 15, 12, 11, 9])
sea_temp = np.array([4, 5, 10, 11, 12, 16, 19, 18, 14, 10, 8, 5])
fig, ax = plt.subplots(2, 1)
ticks = ['jan','feb','mar','apr','may','jun','jul','aug','sep','oct','nov','dec']
x = np.linspace(0, 13, 12)
# commands for plotting the first graph
ax[0].plot(x, land_temp, 'r', label = 'air temp')
ax[0].plot(x, sea_temp, 'b', label = 'sea temp')
ax[0].set_xticks(x) 
ax[0].set_xticklabels(ticks)
ax[0].legend(loc = 'best')
ax[0].set_ylabel('temp (Celsius)')
ax[0].set_xlabel('months')
# commands for plotting the second graph
ax[1].plot(x, land_temp - sea_temp, 'b-o')
ax[1].set_xticks(x) 
ax[1].set_xticklabels(ticks)
ax[1].set_ylabel('land - sea temp (Celsius)')
ax[1].set_xlabel('months')
# to prevent overlap in plots
fig.tight_layout()
# saving the figure
fig.savefig('output/out.png')