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from matplotlib import pyplot as plt
import matplotlib.cm as cm
import numpy as np

## DATA
ws = FINAL.ws.values
wd = FINAL.wd.values


## WIND ROSE
from windrose import WindroseAxes
# create object
ax = WindroseAxes.from_ax()
# plot
ax.bar(wd, ws, normed=True, opening=0.8, bins=np.arange(0.,20.+4.,4.), edgecolor='white')
# legend
ax.legend(loc='best',fontsize=14,shadow=True)
# setup axis ticks
plt.xticks(fontsize=18,rotation='horizontal')
plt.yticks(fontsize=14,rotation='horizontal')
# title
ax.text(0.,1.1, 'title',
        horizontalalignment='left',
        verticalalignment='top',
        transform=ax.transAxes,fontsize=18)
# plot
plt.show()

"""
AXIS LEGEND LOCATION:
'best'         : 0, (only implemented for axes legends)
'upper right'  : 1,
'upper left'   : 2,
'lower left'   : 3,
'lower right'  : 4,
'right'        : 5,
'center left'  : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center'       : 10,
"""



## DISTRIBUTION
from windrose import WindAxes
ax = WindAxes.from_ax()
bins = np.arange(0, 14 + 1, 0.5)
bins = bins[1:]
ax, params = ax.pdf(ws, bins=bins)