Python 获取DateTimeSeries的整数位置索引，而不是DateTime索引

给定一个日期时间序列，如何获取int位置？我现在可以获得datetime索引，但我需要int位置索引

示例代码 这是打印结果

Date
2020-07-21 22:00:00    6.543779
2020-07-21 22:30:00    4.095121
2020-07-21 23:00:00    4.156970
2020-07-21 23:30:00    3.819589
2020-07-22 00:00:00    4.252539
Length: 5, dtype: float64

# This returned datetime index but int position is needed
DatetimeIndex(['2020-07-21 22:00:00', '2020-07-21 22:30:00',
               '2020-07-21 23:00:00', '2020-07-22 00:00:00'],
              dtype='datetime64[ns]', name='Date', length=4, freq=None)

预期结果 解决方案 快速回答，使用

.reset\u index（）

# Use reset_index() to assign int index to the series
range = range.reset_index()

# range[0] is the column with the value you want to compare
#   .gt(4) is to get all rows with value greater than 4
#   .index is to get the index of the filter rows
print(range[range[0].gt(4)].index)

这将打印以下结果

Int64Index([0,1,2,4], dtype='int64', length=4)

---

您可能希望重置索引并查询回索引

print（您的数据帧.reset\u index（）.index）

另外，要访问位置位置，您可以使用

your_dataframe.iloc[position]

注意：请注意，如果在筛选数据后重置索引，则索引将与筛选前的索引不同。在进行任何过滤之前，您需要重置索引

# Use reset_index() to assign int index to the series
range = range.reset_index()

# range[0] is the column with the value you want to compare
#   .gt(4) is to get all rows with value greater than 4
#   .index is to get the index of the filter rows
print(range[range[0].gt(4)].index)

Int64Index([0,1,2,4], dtype='int64', length=4)