Update app.py

app.py

@@ -10,14 +10,11 @@ import pandas as pd
 import subprocess
 import plotly.express as px
 def on_confirm(dataset_radio, num_parts_dropdown, token_counts_radio, line_counts_radio, cyclomatic_complexity_radio, problem_type_checkbox):
-    # 根据用户选择的参数构建文件路径
     num_parts = num_parts_dropdown
-    # token_counts_split = token_counts_radio
-    # line_counts_split = line_counts_radio
-    # cyclomatic_complexity_split = cyclomatic_complexity_radio
+    current_dir = os.getcwd()
+    print("当前工作目录的路径：", current_dir)
 
 
-    # 读取数据
     dataframes = []
     if token_counts_radio=="Equal Frequency Partitioning":#等频划分，每个子集数据点的数量基本一致
         token_counts_df = pd.read_csv(f"E:/python-testn/pythonProject3/hh_2/dividing_into_different_subsets/{num_parts}/QS/token_counts_QS.csv")
@@ -40,12 +37,11 @@ def on_confirm(dataset_radio, num_parts_dropdown, token_counts_radio, line_count
 
 
 
-    #以下改为直接从一个划分文件中读取即可
+
     if problem_type_checkbox:
         problem_type_df = pd.read_csv("E:/python-testn/pythonProject3/hh_2/dividing_into_different_subsets/cata_result.csv")
         dataframes.append(problem_type_df)
 
-    # 如果所有三个radio都有value，将三个文件中的所有行拼接
     if len(dataframes) > 0:
         combined_df = dataframes[0]
         for df in dataframes[1:]:
@@ -57,36 +53,6 @@ def on_confirm(dataset_radio, num_parts_dropdown, token_counts_radio, line_count
 
 
 
-# 定义一个函数来返回数据
-# def show_data(line_counts, token_counts, cyclomatic_complexity, problem_type, show_high, show_medium, show_low):
-#     columns = ["Model"]
-#
-#     if token_counts:
-#         if show_high:
-#             columns.append("Token Counts.I")
-#
-#         if show_medium:
-#             columns.append("Token Counts.II")
-#         if show_low:
-#             columns.append("Token Counts.III")
-#     if line_counts:
-#         if show_high:
-#             columns.append("Line Counts.I")
-#         if show_medium:
-#             columns.append("Line Counts.II")
-#         if show_low:
-#             columns.append("Line Counts.III")
-#     if cyclomatic_complexity:
-#         if show_high:
-#             columns.append("Cyclomatic Complexity.I")
-#         if show_medium:
-#             columns.append("Cyclomatic Complexity.II")
-#         if show_low:
-#             columns.append("Cyclomatic Complexity.III")
-#     if problem_type:
-#         columns.extend(["Problem Type_String", "Problem Type_Math", "Problem Type_Array"])
-#     return data[columns]
-#用于更新数据文件的部分
 def execute_specified_python_files(directory_list, file_list):
     for directory in directory_list:
         for py_file in file_list: