matplotlib.pyplot as plt

import matplotlib.pyplot as plt

plt.plot()
plt.show()

first_twelve = unrate[0:12]
plt.plot(first_twelve['DATE'], first_twelve['VALUE'])
plt.show()

plt.plot(first_twelve['DATE'], first_twelve['VALUE'])
plt.xticks(rotation=90)
plt.xlabel('Month')
plt.ylabel('Unemployment Rate')
plt.title('Monthly Unemployment Trends, 1948')
plt.show()

fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)

ax1.plot(unrate[0:12]['DATE'], unrate[0:12]['VALUE'])
ax2.plot(unrate[12:24]['DATE'], unrate[12:24]['VALUE'])

plt.show()

fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
ax1.plot(unrate[0:12]['DATE'], unrate[0:12]['VALUE'])
ax1.set_title('Monthly Unemployment Rate, 1948')
ax2.plot(unrate[12:24]['DATE'], unrate[12:24]['VALUE'])
ax2.set_title('Monthly Unemployment Rate, 1949')
plt.show()
fig = plt.figure(figsize=(12,5))
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
ax1.plot(unrate[0:12]['DATE'], unrate[0:12]['VALUE'])
ax1.set_title('Monthly Unemployment Rate, 1948')
ax2.plot(unrate[12:24]['DATE'], unrate[12:24]['VALUE'])
ax2.set_title('Monthly Unemployment Rate, 1949')
plt.show()
fig = plt.figure(figsize=(12,12))

for i in range(5):
    ax = fig.add_subplot(5,1,i+1)
    start_index = i*12
    end_index = (i+1)*12
    subset = unrate[start_index:end_index]
    ax.plot(subset['DATE'], subset['VALUE'])

plt.show()
unrate['MONTH'] = unrate['DATE'].dt.month
fig = plt.figure(figsize=(6,3))

plt.plot(unrate[0:12]['MONTH'], unrate[0:12]['VALUE'], c='red')
plt.plot(unrate[12:24]['MONTH'], unrate[12:24]['VALUE'], c='blue')

plt.show()
fig = plt.figure(figsize=(10,6))
colors = ['red', 'blue', 'green', 'orange', 'black']
for i in range(5):
    start_index = i*12
    end_index = (i+1)*12
    subset = unrate[start_index:end_index]
    label = str(1948 + i)
    plt.plot(subset['MONTH'], subset['VALUE'], c=colors[i], label=label)
plt.legend(loc='upper left')
plt.xlabel('Month, Integer')
plt.ylabel('Unemployment Rate, Percent')
plt.title('Monthly Unemployment Trends, 1948-1952')

plt.show()