typeerror: only valid with datetimeindex, timedeltaindex or periodindex, but got an instance of 'index'

这个错误是因为你传入的索引不是DatetimeIndex、TimedeltaIndex或PeriodIndex类型，而是Index类型。可能是因为你在使用某些时间序列相关的函数时，传入了错误的索引类型。你需要检查一下你的代码，确保传入的索引类型正确。

相关问题

TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index'

This error message occurs when you try to perform a datetime operation on an Index object that is not a DatetimeIndex, TimedeltaIndex, or PeriodIndex.

For example, let's say you have a DataFrame with a column named "date" that contains dates in string format:

import pandas as pd

df = pd.DataFrame({'date': ['2021-01-01', '2021-01-02', '2021-01-03']})

If you try to perform a datetime operation on the "date" column without converting it to a DatetimeIndex first, you will get the TypeError:

df['date'].dt.dayofweek

Output:

TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index'

To fix this error, you need to convert the "date" column to a DatetimeIndex first:

df['date'] = pd.to_datetime(df['date'])
df.set_index('date', inplace=True)

Now you can perform datetime operations on the "date" column:

df.index.dayofweek

Output:

DatetimeIndex(['2021-01-01', '2021-01-02', '2021-01-03'], dtype='datetime64[ns]', name='date', freq=None)

"Only valid with DatetimeIndex, " TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index'

这个错误通常是因为你尝试在非 DatetimeIndex 索引上运行 resample 函数。可以通过将索引转换为 DatetimeIndex 来解决这个问题。

以下是一个示例代码，可以将索引转换为 DatetimeIndex：

import pandas as pd

# 创建一个带有字符串索引的示例 DataFrame
df = pd.DataFrame({'value': [1, 2, 3]}, index=['2022-01-01', '2022-01-02', '2022-01-03'])

# 将字符串索引转换为 DatetimeIndex
df.index = pd.to_datetime(df.index)

# 对 DataFrame 进行重采样
df_resampled = df.resample('D').mean()

print(df_resampled)

在上面的代码中，我们将示例 DataFrame 的索引从字符串转换为 DatetimeIndex，然后对其进行了每日重采样。根据你的需求，你可以将 'D' 替换为其他的时间周期。