"""
Our first matplotlib plot
"""

# matplotlib and pyplot
# pyplot is a module in matplotlib that provides a Matlab-like interface
# to most of the functionality of matplotlib.  for most purposes it is all
# you need.

# first we import pyplot and numpy
import matplotlib.pyplot as plt
import numpy as np

# create the data
x = np.arange(0, 10, 0.2)
y = np.sin(x)
# plot it
plt.plot(x, y)

# you may sometimes need to tell matplotlib to actually show the figure
plt.show()
# to save the figure:
plt.savefig('sine.pdf')

# there is a more wordy object oriented way of achieving the same thing:
import matplotlib.pyplot as plt
import numpy as np

x = np.arange(0, 10, 0.2)
y = np.sin(x)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y)
fig.show()
fig.savefig('sine.pdf')

# adding some bells and whistles:

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(0, 10, 0.2)
y = np.sin(x)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y, '-k', linewidth = 2)
ax.plot(x, y, 'ob', markersize = 7)
ax.set_title('This is a title')
ax.set_xlabel('x axis')
ax.set_ylabel('y axis')
fig.savefig('sine2.pdf')