类型错误：'；非类型'；对象在python函数中不可编辑

我写了以下代码：

def summarize_withoutStations(path, month):
    calculate_withoutStations(getFiles(path, month))

def calculate_stations (allFiles):

    result = pd.DataFrame(columns = ['Date','Mid Ebb Total','Mid Flood Total','Mid Ebb Control','Mid Flood Control'])

    Mid_Ebb_unique_stations = []
    Mid_Flood_unique_stations = []

    for file_ in allFiles:
        print('Checking' +str(file_))
        xls = pd.ExcelFile(file_)
        df = xls.parse('General Impact')
        if len(df) > 300:
            print('Please check if there are more than one month data in the excel')
            cont = input('Please type Y to continue, N to exit')
            if cont == 'Y':
                continue
            if cont == 'N':
                break

        Mid_Ebb = df[df['Tidal Mode'] == "Mid-Ebb"] #filter
        Mid_Flood = df[df['Tidal Mode'] == "Mid-Flood"] #filter
        Mid_Ebb_stations = Mid_Ebb['Station'].unique()
        Mid_Flood_stations = Mid_Flood['Station'].unique()
        Mid_Ebb_unique_stations.extend(list(Mid_Ebb_stations))
        Mid_Flood_unique_stations.extend(list(Mid_Flood_stations))

    Ebb_list = Counter(Mid_Ebb_unique_stations)
    Flood_list = Counter(Mid_Flood_unique_stations)

    total_Mid_Ebb = sum(Ebb_list.values())
    total_Mid_Flood = sum(Flood_list.values())

    print('Ebb tide list: ' + str(Ebb_list))
    print('Flood tide list:' + str(Flood_list))
    print('Ebb tide total: {} Flood totaltide: {}'.format(total_Mid_Ebb, total_Mid_Flood))

    df_Ebb_list = pd.DataFrame.from_dict(Ebb_list, orient='index')
    df_Flood_list = pd.DataFrame.from_dict(Flood_list, orient='index')

    print(df_Ebb_list)
    print(df_Flood_list)

    return df_Ebb_list, df_Flood_list

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当我调用

a，b=func.summary\u with stations（path，month）

时，它给出了TypeError:“NoneType”对象是不可编辑的

---

数据帧也不打印。

我做了一些愚蠢的事情

def summarize_withoutStations(path, month):
    calculate_withoutStations(getFiles(path, month))

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没有返回语句。

它在哪一行出错？也请阅读：.a，b=func.summary_with stations（path，month）当我以非函数方式（逐个检查文件）进行汇总时，我可以获得数据帧（df_Ebb_list和df_Flood_list），您可以发布完整的回溯吗。此函数中将有一行出现故障，请阅读并不要忽略：