Python Pandas - 从 DateTimeIndex 创建一个 DataFrame 忽略索引

要从 DateTimeIndex 创建一个忽略索引的 DataFrame，请使用该方法。将参数index设置为False 以忽略索引。DateTimeIndex.to_frame()

首先，导入所需的库 -

import pandas as pd

创建一个日期时间索引，周期为 5，频率为 S，即秒 -

datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')

显示日期时间索引 -

print("DateTimeIndex...\n", datetimeindex)

从 DateTimeIndex 创建一个 DataFrame。原始索引未使用 'False' 参数在返回的 DataFrame 中设置 -

print("\nDateTimeIndex to DataFrame...\n", datetimeindex.to_frame(index=False))

示例

以下是代码 -

import pandas as pd

# DatetimeIndex with period 5 and frequency as S i.e. seconds

# timezone is Australia/Adelaide

datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,

tz='Australia/Adelaide', freq='40S')

# display DateTimeIndex

print("DateTimeIndex...\n", datetimeindex)

# display DateTimeIndex frequency

print("\nDateTimeIndex frequency...\n", datetimeindex.freq)

# Create a DataFrame from DateTimeIndex

# The original index isn't set in the returned DataFrame using the 'False' parameter

print("\nDateTimeIndex to DataFrame...\n", datetimeindex.to_frame(index=False))

输出结果

这将产生以下代码 -

DateTimeIndex...

DatetimeIndex(['2021-10-18 07:20:32.261811624+10:30',

'2021-10-18 07:21:12.261811624+10:30',

'2021-10-18 07:21:52.261811624+10:30',

'2021-10-18 07:22:32.261811624+10:30',

'2021-10-18 07:23:12.261811624+10:30'],

dtype='datetime64[ns, Australia/Adelaide]', freq='40S')

DateTimeIndex frequency...

<40 * Seconds>

DateTimeIndex to DataFrame...

0 2021-10-18 07:20:32.261811624+10:30

1 2021-10-18 07:21:12.261811624+10:30

2 2021-10-18 07:21:52.261811624+10:30

3 2021-10-18 07:22:32.261811624+10:30

4 2021-10-18 07:23:12.261811624+10:30