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# (C) Copyright 2004-2023 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
#
# Thanks for using Enthought open source!
"""
Defining column-specific context menu in a Table
Shows a TableEditor which has column-specific context menus.
The demo is a simple baseball scoring system, which lists each player and
their current batting statistics. After a given player has an at bat, you
right-click on the table cell corresponding to the player and the result of
the at-bat (e.g. 'S' = single) and select the 'Add' menu option to register
that the player hit a single and update the player's overall statistics.
This demo also illustrates the use of Property traits, and how using 'event'
meta-data can simplify event handling by collapsing an event that can
occur on a number of traits into a category of event, which can be handled by
a single event handler defined for the category (in this case, the category
is 'affects_average').
"""
from random import randint
from traits.api import HasStrictTraits, Str, Int, Float, List, Property
from traitsui.api import Action, Item, Menu, ObjectColumn, TableEditor, View
# Define a custom table column for handling items which affect the player's
# batting average:
class AffectsAverageColumn(ObjectColumn):
# Define the context menu for the column:
menu = Menu(
Action(name='Add', action='column.add(object)'),
Action(name='Sub', action='column.sub(object)'),
)
# Right-align numeric values (override):
horizontal_alignment = 'center'
# Column width (override):
width = 0.09
# Don't allow the data to be edited directly:
editable = False
# Action methods for the context menu items:
def add(self, object):
"""Increment the affected player statistic."""
setattr(object, self.name, getattr(object, self.name) + 1)
def sub(self, object):
"""Decrement the affected player statistic."""
setattr(object, self.name, getattr(object, self.name) - 1)
# The 'players' trait table editor:
player_editor = TableEditor(
editable=True,
sortable=False,
auto_size=False,
columns=[
ObjectColumn(name='name', editable=False, width=0.28),
AffectsAverageColumn(name='at_bats', label='AB'),
AffectsAverageColumn(name='strike_outs', label='SO'),
AffectsAverageColumn(name='singles', label='S'),
AffectsAverageColumn(name='doubles', label='D'),
AffectsAverageColumn(name='triples', label='T'),
AffectsAverageColumn(name='home_runs', label='HR'),
AffectsAverageColumn(name='walks', label='W'),
ObjectColumn(
name='average',
label='Ave',
editable=False,
width=0.09,
horizontal_alignment='center',
format='%0.3f',
),
],
)
# 'Player' class:
class Player(HasStrictTraits):
# Trait definitions:
name = Str()
at_bats = Int()
strike_outs = Int(event='affects_average')
singles = Int(event='affects_average')
doubles = Int(event='affects_average')
triples = Int(event='affects_average')
home_runs = Int(event='affects_average')
walks = Int()
average = Property(Float)
def _get_average(self):
"""Computes the player's batting average from the current statistics."""
if self.at_bats == 0:
return 0.0
return (
float(self.singles + self.doubles + self.triples + self.home_runs)
/ self.at_bats
)
def _affects_average_changed(self):
"""Handles an event that affects the player's batting average."""
self.at_bats += 1
class Team(HasStrictTraits):
# Trait definitions:
players = List(Player)
# Trait view definitions:
traits_view = View(
Item('players', show_label=False, editor=player_editor),
title='Baseball Scoring Demo',
width=0.5,
height=0.5,
resizable=True,
)
def random_player(name):
"""Generates and returns a random player."""
p = Player(
name=name,
strike_outs=randint(0, 50),
singles=randint(0, 50),
doubles=randint(0, 20),
triples=randint(0, 5),
home_runs=randint(0, 30),
walks=randint(0, 50),
)
return p.trait_set(
at_bats=(
p.strike_outs
+ p.singles
+ p.doubles
+ p.triples
+ p.home_runs
+ randint(100, 200)
)
)
# Create the demo:
demo = Team(
players=[
random_player(name)
for name in [
'Dave',
'Mike',
'Joe',
'Tom',
'Dick',
'Harry',
'Dirk',
'Fields',
'Stretch',
]
]
)
# Run the demo (if invoked from the command line):
if __name__ == '__main__':
demo.configure_traits()
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