Beautiful print Container objects

[HowcanoeWang]

Current print style now showing the correct ROI key and looks ugly:

       [ 484585.84831165, 3862266.69649805]]), 116: array([[ 484586.95917975, 3862264.48670892],
       [ 484586.27618307, 3862265.79420158],
       [ 484586.74248551, 3862266.01187889],
       [ 484587.38897386, 3862264.72551779],
       [ 484586.95917975, 3862264.48670892]]), 117: array([[ 484588.07918062, 3862262.27468665],
       [ 484587.39618362, 3862263.58217923],
       [ 484587.86248614, 3862263.79985659],
       [ 484588.50897668, 3862262.51460452],
       [ 484588.07918062, 3862262.27468665]]), 118: array([[ 484589.18991156, 3862259.98283581],
       [ 484588.50691422, 3862261.2903283 ],
       [ 484588.97321497, 3862261.50689677],
       [ 484589.6197077 , 3862260.22275374],
       [ 484589.18991156, 3862259.98283581]]), 119: array([[ 484590.32812571, 3862257.73529679],
       [ 484589.64512804, 3862259.04278919],
       [ 484590.11143074, 3862259.26046666],
       [ 484590.75792192, 3862257.97521477],
       [ 484590.32812571, 3862257.73529679]])}

[HowcanoeWang]

Fixed effects:

>>> import numpy as np
>>> import easyidp as idp
>>> test_data = idp.data.TestData()
>>> roi = idp.ROI(test_data.shp.utm53n_shp, name_field=0)
[shp][proj] Use projection [WGS 84 / UTM zone 53N] for loaded shapefile [lon_lat_utm53n.shp]
Read shapefile [lon_lat_utm53n.shp]: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 120/120 [00:00<00:00, 2464.57it/s]
>>> roi
<easyidp.ROI> with 120 items
[0]     1_02
array([[ 484581.96481965, 3862282.54659697],
       [ 484581.71899749, 3862283.05047413],
       [ 484581.92015662, 3862283.14994052],
       [ 484582.17518015, 3862282.68486107],
       [ 484581.96481965, 3862282.54659697]])
[1]     1_03
array([[ 484583.12131417, 3862280.30678878],
       [ 484582.87549189, 3862280.81066591],
       [ 484583.07665105, 3862280.91013233],
       [ 484583.3316747 , 3862280.44505291],
       [ 484583.12131417, 3862280.30678878]])
...
[118]   6_35
array([[ 484589.18991156, 3862259.98283581],
       [ 484588.50691422, 3862261.2903283 ],
       [ 484588.97321497, 3862261.50689677],
       [ 484589.6197077 , 3862260.22275374],
       [ 484589.18991156, 3862259.98283581]])
[119]   6_36
array([[ 484590.32812571, 3862257.73529679],
       [ 484589.64512804, 3862259.04278919],
       [ 484590.11143074, 3862259.26046666],
       [ 484590.75792192, 3862257.97521477],
       [ 484590.32812571, 3862257.73529679]])