pythonのソースコードを調べる

ファイル内の単語頻度をしらべる

def freqdist_count(path_name):
    """
    指定したpath_nameを読み込んで、そのテキスト内単語の頻度を表示する
    """
    count_dic = {}
    for path in path_name[:]:
        with open(path,"r") as f:
            text = f.read() 
            #コメントを削除(複数行も削除)
            text = re.sub(r"/\*([^*]|\*[^/])*\*/","",text)
            #{} ()を空白に置き換える
            text = re.sub(r"\("," ",text)
            text = re.sub(r"\)"," ",text)
            text = re.sub(r"{"," ",text)
            text = re.sub(r"}"," ",text)
            #単独の数値を空白に置き換える
            text = re.sub(r"[0-9]+"," ", text)
            #カンマを空白に置き換える
            text = re.sub(r"\,"," ",text)
            #;を空白に置き換える
            text = re.sub(r";"," ",text)
            wList = text.split()
            for w in wList:
                if w in c_lang_keyword:
                    continue
                count_dic[w] = count_dic.get(w,0) + 1
    count_list= sorted(count_dic.items(), key=lambda x: x[1],reverse=True)
    print("--freqdist---------------")
    print("上位10位まで表示")
    s = 0
    for k,v in count_list[:10]:
        print(k,":",v)
        s += v        
    print("{:,}".format(s)

    path_name = count_file_func(c_file_list)
    freqdist_count(path_name)

    <結果>
   上位10位まで表示
    PyObject : 12235
    \ : 3648
    Py_DECREF : 3485
    Py_ssize_t : 3052
    self : 3048
    c : 2699
    res : 2572
    len : 1922
    " : 1815
    value : 1693
    36,169

最頻度はPyObjectで、これが最重要データ構造と思われる。