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"""
Using ArrayViewEditor to display large NumPy arrays in a table.
This example displays 100,000 random 3D points from a unit cube.
Note that the ArrayViewEditor has the following traits::
# Should an index column be displayed:
show_index = Bool(True)
# List of (optional) column titles:
titles = List(Str)
# Should the array be logically transposed:
transpose = Bool(False)
# The format used to display each array element:
format = Str('%s')
By default, the array row index will be shown in column one. If 'show_index'
is False, then the row index column is omitted.
If the list of 'titles' is empty, no column headers will be displayed.
If the number of column headers is less than the number of array columns, then
there are two cases:
- If (number of array_columns) % (number of titles) == 0, then the titles
are used to construct a series of repeating column headers with increasing
subscripts (e.g. an (n x 6) array with titles of ['x','y','z'] would
result in column headers of: 'x0', 'y0', 'z0', 'x1', 'y1', 'z1').
- In all other cases the titles are used as the column headers for the
first set of columns, and the remaining column headers are set to the
empty string (e.g. an (n x 5) array with titles of ['x','y','z'] would
result in column headers of: 'x', 'y', 'z', '', '').
Setting 'transpose' to True will logically transpose the input array (e.g. an
(3 x n) array will be displayed as an (n x 3) array).
"""
from numpy.random import random
from traits.api import HasTraits, Array
from traitsui.api import View, Item
from traitsui.ui_editors.array_view_editor import ArrayViewEditor
#-- ShowArray demo class -------------------------------------------------------
class ShowArray(HasTraits):
data = Array
view = View(
Item('data',
show_label = False,
editor = ArrayViewEditor(titles = [ 'x', 'y', 'z' ],
format = '%.4f',
# Font fails with wx in OSX;
# see traitsui issue #13:
# font = 'Arial 8'
)
),
title = 'Array Viewer',
width = 0.3,
height = 0.8,
resizable = True
)
#-- Run the demo ---------------------------------------------------------------
# Create the demo:
demo = ShowArray(data = random((100000, 3)))
# Run the demo (if invoked from the command line):
if __name__ == '__main__':
demo.configure_traits()
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