#!/usr/bin/env python

# coding=utf-8

import numpy as np

import matplotlib.pyplot as plt

ax = plt.subplot(111)

t = np.arange(0,5,0.01)

s = np.cos(2*np.pi*t)

line = plt.plot(t,s,lw=5)

plt.annotate('local max',xy=(2,1),xytext=(3,1.5),arrowprops=dict(facecolor='green',shrink=0.1))

plt.ylim(-2,2)

#plt.show()

##########

fig = plt.figure()

fig.suptitle(' bold main title ',fontsize=15,fontweight='bold')

ax = fig.add_subplot(111)

fig.subplots_adjust(top=0.8)

ax.set_title("axes title")

ax.set_xlabel("xlabel")

ax.set_ylabel("ylabel")

ax.text(3,8,"boxed italics text in data coords",style='italic',bbox={'facecolor':'red','alpha':0.5,'pad':10})

ax.text(2,6,r'an eauation: $E=mc^2$',fontsize=20)

ax.text(0.95,0.01,'colored text in axes coords',verticalalignment='bottom',horizontalalignment='right',transform=ax.transAxes, color='green',fontsize=15)

ax.plot([2],[1],'o')

ax.annotate('annotate',xy=(2,1),xytext=(3,4),arrowprops = dict(facecolor='blue',shrink=0.1))

ax.axis([0,10,0,12])

plt.show()