Python Pandas - 返回按日期格式指定的格式化字符串的索引
pythonserver side programmingprogramming更新于 2026/1/19 23:40:17
要返回按日期格式指定的格式化字符串的索引，请使用 Pandas 中的 DateTimeIndex.strftime() 方法。
首先，导入所需的库 −
import pandas as pd
创建一个 DatetimeIndex，周期为 7，频率为 D，即天数 −
datetimeindex = pd.date_range('2021-10-30 02:30:50', periods=7, tz='Australia/Adelaide', freq='2D')
显示 DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)
格式化 −
print("\n使用不同指令格式化...\n",
datetimeindex.strftime('%b. %d, %Y was a %A'))
示例
以下是代码 −
import pandas as pd
# DatetimeIndex 周期为 7，频率为 D，即天
# 时区为澳大利亚/阿德莱德
datetimeindex = pd.date_range('2021-10-30 02:30:50', periods=7, tz='Australia/Adelaide', freq='2D')
# 显示 DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# 显示 DateTimeIndex 频率
print("\nDateTimeIndex 频率...\n", datetimeindex.freq)
# 显示结果
print("\nFormat with different directives...\n",
datetimeindex.strftime('%b. %d, %Y was a %A'))
输出
这将产生以下代码 −
DateTimeIndex... DatetimeIndex(['2021-10-30 02:30:50+10:30', '2021-11-01 02:30:50+10:30', '2021-11-03 02:30:50+10:30', '2021-11-05 02:30:50+10:30', '2021-11-07 02:30:50+10:30', '2021-11-09 02:30:50+10:30', '2021-11-11 02:30:50+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='2D') DateTimeIndex 频率... <2 * Days> Format with different directives... Index(['Oct. 30, 2021 was a Saturday', 'Nov. 01, 2021 was a Monday', 'Nov. 03, 2021 was a Wednesday', 'Nov. 05, 2021 was a Friday', 'Nov. 07, 2021 was a Sunday', 'Nov. 09, 2021 was a Tuesday', 'Nov. 11, 2021 was a Thursday'], dtype='object')
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