要格式化 PeriodIndex 对象的字符串表示形式,请使用该方法。将格式说明符设置为参数。periodIndex.strftime()
首先,导入所需的库 -
import pandas as pd
创建一个 PeriodIndex 对象。PeriodIndex 是一个不可变的 ndarray,其中包含指示定期时间段的序数值 -
periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y")
显示 PeriodIndex 对象 -
print("PeriodIndex...\n", periodIndex)
显示格式化结果 -
print("\nString representation (format with different directives)...\n", periodIndex.strftime('%b. %d, %Y was a %A'))
以下是代码 -
import pandas as pd # Create a PeriodIndex object # PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time # We have set the frequency using the "freq" parameter periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y") # Display PeriodIndex object print("PeriodIndex...\n", periodIndex) # Display PeriodIndex frequency print("\nPeriodIndex frequency object...\n", periodIndex.freq) # Display PeriodIndex frequency as string print("\nPeriodIndex frequency object as a string...\n", periodIndex.freqstr) # display the formatted result print("\nString representation (format with different directives)...\n", periodIndex.strftime('%b. %d, %Y was a %A'))输出结果
这将产生以下代码 -
PeriodIndex... PeriodIndex(['2021', '2019', '2020', '2022'], dtype='period[A-DEC]') PeriodIndex frequency object... <YearEnd: month=12> PeriodIndex frequency object as a string... A-DEC String representation (format with different directives)... Index(['Dec. 31, 2021 was a Friday', 'Dec. 31, 2019 was a Tuesday', 'Dec. 31, 2020 was a Thursday', 'Dec. 31, 2022 was a Saturday'], dtype='object')