Question

因此，即时通讯正在制作一种python文本编辑器，我希望脚本扫描文本以查找特定于som的单词，然后更改单词的颜色（例如在pycharm中）像这样的东西：

RANDOM_ST = 123

def featureSelection(train, train_labels, test, test_labels):

    # Use kNN to illustrate effectiveness of feature selection. 
    clf = KNeighborsClassifier()

    # train the classifier
    clf = clf.fit(train, train_labels['gname_code'])

    # predict the class for unseen examples
    preds = clf.predict(test)

    # initial accuracy
    score = metrics.accuracy_score(preds, test_labels['gname_code'])
    print('Initial Result', score)

    # Decision tree for feature selection
    # RF is probably a better way to do feature selection but I want it to be deterministic for 
    # comparing unblanaced methods later. So use decTree instead
    #estimator = RandomForestClassifier(n_estimators=100, max_depth=2, random_state=RANDOM_ST)
    estimator = DecisionTreeClassifier(random_state=RANDOM_ST)

    # Custom cv so I can seed with random state => results are comparable between different options later
    rskv = model_selection.RepeatedStratifiedKFold(n_splits=5, n_repeats=5, random_state=RANDOM_ST)

    # Greedy Feature Selection
    rfecv= RFECV(estimator, cv=rskv, n_jobs=-1)
    rfecv.fit(train, train_labels['gname_code'])

    # optimal number of features
    print('Optimal no. of features is: ', rfecv.n_features_)

    # drop the un-informative features
    train = train.iloc[:, rfecv.support_]
    test = test.iloc[:, rfecv.support_]

    # test again now
    clf = KNeighborsClassifier()
    clf = clf.fit(train, train_labels['gname_code'])
    preds = clf.predict(test)
    score = metrics.accuracy_score(preds, test_labels['gname_code'])
    print ('Result after feature selection: ', score)


    return train, train_labels, test, test_labels

（我知道对此有很多类似的问题，但是我找不到任何对我有帮助的东西）

Answer 1

为您创建了一些方法来实现此目的。我建议阅读Tk文档（文本，Text.search（），标签，索引）！

Tk为您提供了text.search方法，因此您无需实现自己的方法。 Tk Text小部件为您提供了可以创建和修改标签的标签。

工作流程：
1.使用text.search（）方法搜索模式将返回起始位置的索引
2.使用text.tag_config（）
创建一个标签 3.使用text.tag_add（）

添加创建的标签

from tkinter import Tk, Entry, Button, Text, IntVar
from tkinter import font

class Text_tag_example():
    def __init__(self, master):
        self.master = master  
        self.my_font = font.Font(family="Helvetica",size=18)
        self.startindex = "1.0"     #needed for search method, index ("line, column")
        self.endindex = "end"       #needed for search method, index (end of index)
        self.init_widgets()

    def init_widgets(self):

        self.txt_widget = Text(self.master, font=self.my_font, 
                            height=10, width=40)
        self.txt_widget.grid(row=0, columnspan=2)
        self.ent_string = Entry(self.master, font=self.my_font)
        self.ent_string.grid(row=1, column=0)
        self.but_search = Button(self.master, text="Search", font=self.my_font,
                            command=self.search_word)
        self.but_search.grid(row=1, column=1)

    def search_word(self):
        word = self.ent_string.get()    #get string from entry 
        countVar = IntVar()             # contain the number of chars that matched
        searched_position = self.txt_widget.search(pattern=word, index=self.startindex, 
                                                stopindex=self.endindex, count=countVar)
        self.txt_widget.tag_config("a", foreground="blue", underline=1)
        endindex = "{}+{}c".format(searched_position, countVar.get())   #add index+length of word/pattern
        self.txt_widget.tag_add("a", searched_position, endindex)

if __name__ == "__main__":
    root = Tk()
    app = Text_tag_example(root)
    root.mainloop()

用法：
类型的文本小部件“你好，再见”
类型的输入小部件“ hi”
按搜索按钮
-“ hi”应为蓝色并带有下划线

下一个问题可能是“如何在文本中标记所有相同的单词？”
再次阅读文档，否则您将无法理解它！

如何在python的文本小部件中更改特定单词的颜色

1 个答案: