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法律研究Python Pandas - 将 DateTimeIndex 转换为 Series
要将 DateTimeIndex 转换为 Series，请使用 DateTimeIndex.to_series() 方法。
首先，导入所需的库 −
import pandas as pd
创建一个周期为 5，频率为 S（即秒）的 DatetimeIndex。时区为澳大利亚/阿德莱德 −
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')将 DateTimeIndex 转换为 Series −
print("\nDateTimeIndex to series...\n",
datetimeindex.to_series())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("DateTimeIndex frequency...\n", datetimeindex.freq)
# Convert DateTimeIndex to Series
print("\nDateTimeIndex to series...\n",
datetimeindex.to_series())输出
将生成以下代码 −
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 series... 2021-10-18 07:20:32.261811624+10:30 2021-10-18 07:20:32.261811624+10:30 2021-10-18 07:21:12.261811624+10:30 2021-10-18 07:21:12.261811624+10:30 2021-10-18 07:21:52.261811624+10:30 2021-10-18 07:21:52.261811624+10:30 2021-10-18 07:22:32.261811624+10:30 2021-10-18 07:22:32.261811624+10:30 2021-10-18 07:23:12.261811624+10:30 2021-10-18 07:23:12.261811624+10:30 Freq: 40S, dtype: datetime64[ns, Australia/Adelaide]
更新于： 19-10-2021
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