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

2024-05-20 15:35:06 404

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

#DatetimeIndexwithperiod5andfrequencyasSi.e.seconds
#timezoneisAustralia/Adelaide
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')

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

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

#CreateaDataFramefromDateTimeIndex
# 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
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

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

示例

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