implemeted get_ticks_direction()

[pizzathief]

adresses #5277 .

example usage:

>>>import numpy as np
>>>import matplotlib.pyplot as plt

>>>x = np.linspace(0, 2 * np.pi, 100)
>>>y = 2 * np.sin(x)

>>>fig, (ax0, ax1) = plt.subplots(nrows=2)

>>>ax0.plot(x, y)
[<matplotlib.lines.Line2D object at 0x7f4217d5bb00>]
>>>ax0.set_title('normal spines')
<matplotlib.text.Text object at 0x7f4217dee828>

>>>ax1.plot(x, y)
[<matplotlib.lines.Line2D object at 0x7f4217d5bd30>]
>>>ax1.set_title('bottom-left spines')
<matplotlib.text.Text object at 0x7f4217dab518>

# Hide the right and top spines
>>>ax1.spines['right'].set_visible(False)
>>>ax1.spines['top'].set_visible(False)
# Only show ticks on the left and bottom spines
>>>ax1.yaxis.set_ticks_position('left')
>>>ax1.xaxis.set_ticks_position('bottom')

# Tweak spacing between subplots to prevent labels from overlapping
>>>plt.subplots_adjust(hspace=0.5)

>>>plt.show()
>>>ax1.yaxis.get_ticks_direction(False)
array(['in', 'in', 'in', 'in', 'in', 'in', 'in', 'in', 'in'], dtype='<U2')
>>>ax1.xaxis.get_ticks_direction(False)
array(['in', 'in', 'in', 'in', 'in', 'in', 'in', 'in'], dtype='<U2')
>>>ax1.xaxis.get_ticks_direction(True)
array([], dtype=float64)
>>>ax1.tick_params(axis='y', direction='out')
>>>ax1.yaxis.get_ticks_direction(False)
array(['out', 'out', 'out', 'out', 'out', 'out', 'out', 'out', 'out'], dtype='<U3')

edit: python prompt in markdown gets mangled, fixed

[mdboom]

Looks fine to me.