Python CanvasFrame.destroy方法代码示例

# 需要导入模块: from nltk.draw.util import CanvasFrame [as 别名]
# 或者: from nltk.draw.util.CanvasFrame import destroy [as 别名]
def quicktree(sentence):
    """Parse a sentence and return a visual representation in IPython"""
    import os
    from nltk import Tree
    from nltk.draw.util import CanvasFrame
    from nltk.draw import TreeWidget
    from stat_parser import Parser
    try:
        from IPython.display import display
        from IPython.display import Image
    except:
        pass
    try:
        get_ipython().getoutput()
    except TypeError:
        have_ipython = True
    except NameError:
        import subprocess
        have_ipython = False
    parser = Parser()
    parsed = parser.parse(sentence)
    cf = CanvasFrame()
    tc = TreeWidget(cf.canvas(),parsed)
    cf.add_widget(tc,10,10) # (10,10) offsets
    cf.print_to_file('tree.ps')
    cf.destroy()
    if have_ipython:
        tregex_command = 'convert tree.ps tree.png'
        result = get_ipython().getoutput(tregex_command)
    else:
        tregex_command = ["convert", "tree.ps", "tree.png"]
        result = subprocess.check_output(tregex_command)    
    os.remove("tree.ps")
    return Image(filename='tree.png')
    os.remove("tree.png")

# 需要导入模块: from nltk.draw.util import CanvasFrame [as 别名]
# 或者: from nltk.draw.util.CanvasFrame import destroy [as 别名]
def drawrst(strtree, fname):
    """ Draw RST tree into a file
    """
    if not fname.endswith(".ps"):
        fname += ".ps"
    cf = CanvasFrame()
    t = Tree.fromstring(strtree)
    tc = TreeWidget(cf.canvas(), t)
    cf.add_widget(tc,10,10) # (10,10) offsets
    cf.print_to_file(fname)
    cf.destroy()

# 需要导入模块: from nltk.draw.util import CanvasFrame [as 别名]
# 或者: from nltk.draw.util.CanvasFrame import destroy [as 别名]
def display_tree(tree):
    if nltk_is_available:
        count = 0
        for t in tree:
            cf = CanvasFrame()
            tc = TreeWidget(cf.canvas(), t)
            cf.add_widget(tc, 10, 10)
            count += 1
            fileName = "tree" + repr(count) + ".ps"
            cf.print_to_file(fileName)
            cf.destroy()
    else:
        count = 0
        for t in tree:
            count += 1
            fileName = "tree" + repr(count) + ".txt"
            pprint.pprint(t, fileName)

# 需要导入模块: from nltk.draw.util import CanvasFrame [as 别名]
# 或者: from nltk.draw.util.CanvasFrame import destroy [as 别名]
def main(args):
    """
    Subcommand main.

    You shouldn't need to call this yourself if you're using
    `config_argparser`
    """
    corpus = read_corpus(args)
    odir = get_output_dir(args)
    for key in corpus:
        cframe = CanvasFrame()
        widget = TreeWidget(cframe.canvas(), corpus[key])
        cframe.add_widget(widget, 10, 10)
        ofilename = fp.join(odir, key.doc) + '.ps'
        cframe.print_to_file(ofilename)
        cframe.destroy()
    announce_output_dir(odir)

# 需要导入模块: from nltk.draw.util import CanvasFrame [as 别名]
# 或者: from nltk.draw.util.CanvasFrame import destroy [as 别名]

#.........这里部分代码省略.........
    from nltk.parse import ViterbiParser
    from nltk.grammar import toy_pcfg1, toy_pcfg2
    from nltk.draw.tree import draw_trees
    from nltk import Tree
    from nltk.draw.util import CanvasFrame
    from nltk.draw import TreeWidget

    # Define two demos.  Each demo has a sentence and a grammar.
    # demos = [('move the green sphere to the bottom left corner', learned_pcfg),
    #          ('move the green ball over the red block', learned_pcfg),
    #          ('take the green pyramid and put it in the top left corner', learned_pcfg),
    #           ('put the green pyramid on the red block', learned_pcfg),
    #           ('move the red cylinder and place it on top of the blue cylinder that is on top of a green cylinder', learned_pcfg),]

    # Ask the user which demo they want to use.
    # print()
    # for i in range(len(demos)):
    #     print('%3s: %s' % (i+1, demos[i][0]))
    #     print('     %r' % demos[i][1])
    #     print()
    # print('Which demo (%d-%d)? ' % (1, len(demos)), end=' ')
    # try:
    #     snum = int(sys.stdin.readline().strip())-1
    #     sent, grammar = demos[snum]
    # except:
    #     print('Bad sentence number')
    #     return

    max_scene = 1

    if max_scene<10:            sc = '0000'+str(max_scene)
    elif max_scene<100:         sc = '000'+str(max_scene)
    elif max_scene<1000:        sc = '00'+str(max_scene)
    elif max_scene<10000:       sc = '0'+str(max_scene)

    g = 'grammar_'+sc+'.txt'
    learned_pcfg = load('/home/omari/Dropbox/robot_modified/AR/grammar/'+g)
    grammar = learned_pcfg

    file1 = open('/home/omari/Dropbox/robot_modified/AR/hypotheses/matched_commands.txt', 'r')
    g1 = [i for i in file1.readlines()]
    for line in g1:
        line = unicode(line,encoding='utf-8')
        sent = line.split('\n')[0].split('-')[-1]
        scene = line.split('\n')[0].split('-')[0]
        sent_num = line.split('\n')[0].split('-')[1]
        print(line)
        if scene == '239' and sent_num == '0':  continue


        # Tokenize the sentence.
        tokens = sent.split()

        parser = ViterbiParser(grammar)
        all_parses = {}

        # print('\nsent: %s\nparser: %s\ngrammar: %s' % (sent,parser,grammar))
        parser.trace(3)
        parses = parser.parse_all(tokens)
        average = (reduce(lambda a,b:a+b.prob(), parses, 0)/len(parses)
                   if parses else 0)
        num_parses = len(parses)
        for p in parses:
            all_parses[p.freeze()] = 1

        # Print some summary statistics
        # print()
        # print('Time (secs)   # Parses   Average P(parse)')
        # print('-----------------------------------------')
        # print('%11.4f%11d%19.14f' % (time, num_parses, average))
        parses = all_parses.keys()
        if parses:
            p = reduce(lambda a,b:a+b.prob(), parses, 0)/len(parses)
        else: p = 0
        # print('------------------------------------------')
        # print('%11s%11d%19.14f' % ('n/a', len(parses), p))

        # Ask the user if we should draw the parses.
        # print()
        # print('Draw parses (y/n)? ', end=' ')
        # if sys.stdin.readline().strip().lower().startswith('y'):

        #     print('  please wait...')
        # draw_trees(*parses)

        cf = CanvasFrame()
        # t = Tree(parses)
        t = Tree.fromstring('(S  (CH_POS_PREPOST move)  (PRE_POST    (PRE      (the the)      (_entity (F_HSV green) (F_SHAPE sphere)))    (PREPOST_connect (to to) (the the))    (POST      (_F_POS (F_POS (_bottom_left (bottom bottom) (left left)))) (corner corner))))')

        tc = TreeWidget(cf.canvas(), t, draggable=1,
                        node_font=('helvetica', -14),
                        leaf_font=('helvetica', -12),
                        roof_fill='white', roof_color='black',
                        leaf_color='green4', node_color='blue4')
        cf.add_widget(tc,10,10)

        # tc = TreeWidget(cf.canvas(),t)
        # cf.add_widget(tc,10,10) # (10,10) offsets
        cf.print_to_file('/home/omari/Dropbox/robot_modified/trees/scene-'+scene+'-'+sent_num+'.ps')
        cf.destroy()

# 需要导入模块: from nltk.draw.util import CanvasFrame [as 别名]
# 或者: from nltk.draw.util.CanvasFrame import destroy [as 别名]
{<NOUN><IN><ADJ><NOUN>}
{<ADJ><NOUN><IN><NOUN>}
{<NOUN><IN><NOUN>} # 名词+介词+名词
ADV_ADJ:{<RB><ADJ>} # 副词+形容词
ADJ_PREP_NOUN:{<ADJ><IN><NOUN>} # 形容词+介词+名词
"""

cp = nltk.RegexpParser(grammar)

if len(sys.argv) < 2:
    sys.exit(0)

for s in sys.argv[1:]:
    print('*****************************')
    print(s)
    tags = nltk.pos_tag(nltk.word_tokenize(s))
    tree = nltk.chunk.ne_chunk(tags)
    print(str(tree))
    cf = CanvasFrame()
    tc = TreeWidget(cf.canvas(), tree)
    cf.add_widget(tc, 10, 10)
    cf.print_to_file(s+'.1.ps')
    cf.destroy()
    tree = cp.parse(tags)

    print(str(tree))
    cf = CanvasFrame()
    tc = TreeWidget(cf.canvas(), tree)
    cf.add_widget(tc, 10, 10)
    cf.print_to_file(s+'.2.ps')