fig = plt.figure() # create figure

ax0 = fig.add_subplot(1, 2, 1) # add subplot 1 (1 row, 2 columns, first plot)
ax1 = fig.add_subplot(1, 2, 2) # add subplot 2 (1 row, 2 columns, second plot). See tip below**
ax2 = fig.add_subplot(2, 2, 3) # add subplot 1 (1 row, 2 columns, first plot)
ax3 = fig.add_subplot(2, 2, 4) # add subplot 2 (1 row, 2 columns, second plot). See tip below**


# Subplot 1
df_countries.plot(kind='scatter', x='Years', y='Brazil',figsize=(20, 6), ax=ax0) # add to subplot 2
ax0.set_title ('Total Immigration to Canada between 1980 - 2013 from Brazil')
ax0.set_ylabel('Number of Immigrants')
ax0.set_xlabel('Years')

# Subplot 2:
df_countries.plot(kind='scatter', x='Years', y='Norway',figsize=(20, 6), ax=ax1) # add to subplot 2
ax1.set_title ('Total Immigration to Canada between 1980 - 2013 from Norway')
ax1.set_ylabel('Number of Immigrants')
ax1.set_xlabel('Years')

# Subplot 3: 
df_countries.plot(kind='scatter', x='Years', y='Denmark',figsize=(20, 6), ax=ax2) # add to subplot 2
ax2.set_title ('Total Immigration to Canada between 1980 - 2013 from Denmark')
ax2.set_ylabel('Number of Immigrants')
ax2.set_xlabel('Years')

# Subplot 4: 
df_countries.plot(kind='scatter', x='Years', y='Sweden',figsize=(20, 6), ax=ax3) # add to subplot 2
ax3.set_title ('Total Immigration to Canada between 1980 - 2013 from Sweden')
ax3.set_ylabel('Number of Immigrants')
ax3.set_xlabel('Years')