Question

我将日期列转换为月份和日期的两个日期时间列。然后，我尝试根据月份列以及该列的计算方式进行过滤。我一直收到触发另一个异常的TypeError消息。

df['Start Time'] = pd.to_datetime(df['Start Time'])
    df['months'] = df['Start Time'].dt.month #strftime("%B")
    df['day_of_week'] = df['Start Time'].dt.weekday_name

    if day != 'all':
        df = df.day_of_week.str.contains(day.title())

    if month != 'all':
        month = month.title()
        months = ['January', 'February', 'March', 'April', 'May', 'June']
        month = months.index(month) + 1
    #filter by month to create the new dataframe
        df = df[df['months'] == month]
    return df

popular_month = df['months'].mode()[0]

我希望函数返回一个由“ month”的值过滤的数据帧，并让另一行代码返回最流行的月份。我收到此错误：

Traceback (most recent call last):
  File "C:something/yet_another.py", line 308, in <module>
    main()
  File "C:something/yet_another.py", line 289, in main
    df = load_data(city, month, day)
  File "C:/something/yet_another.py", line 133, in load_data
    df = df[df['months'] == month]
  File "C:something\venv\lib\site-packages\pandas\core\series.py", line 1068, in __getitem__
    result = self.index.get_value(self, key)
  File "C:\soemthing\venv\lib\site-packages\pandas\core\indexes\base.py", line 4730, in get_value
    return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))
  File "pandas\_libs\index.pyx", line 80, in pandas._libs.index.IndexEngine.get_value
  File "pandas\_libs\index.pyx", line 88, in pandas._libs.index.IndexEngine.get_value
  File "pandas\_libs\index.pyx", line 128, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index_class_helper.pxi", line 91, in pandas._libs.index.Int64Engine._check_type
KeyError: 'months'

Answer 1

这是导致您出现问题的行：

df = df.day_of_week.str.contains(day.title())

您正在用df中的Series覆盖True, False。

处理Pandas中的datetime列：如何修复Pandas中的“类型错误：必须为整数”。异常触发另一个异常

1 个答案: