Python | Pandas TimedeltaIndex.fillna

简介

在 Pandas 1.1.0 版本中，新增加了一个函数 TimedeltaIndex.fillna()，该函数用于填充 TimedeltaIndex 中的缺失值，并返回一个新的 TimedeltaIndex 类型的对象。

语法

TimedeltaIndex.fillna(value=None, method=None, limit=None, **kwargs)

参数

• value：用于填充缺失值的值，默认为 None。
• method：填充缺失值的方法，可选值为 {'backfill', 'bfill', 'pad', 'ffill', None}，默认为 None。
• limit：限制填充的连续缺失值的个数，默认为 None。
• **kwargs：其他可选填充参数。

返回值

返回一个新的 TimedeltaIndex 类型的对象。

示例

示例数据

import pandas as pd
from datetime import timedelta

index = pd.timedelta_range(start='1 day', periods=10, freq='D').append(
        pd.timedelta_range(start='1 day', periods=10, freq='H')
    ).append(pd.timedelta_range(start='1 day', periods=10, freq='10T'))

values = [1, 2, 3, 4, None, None, None, 8, 9, None] + [10, None] * 5 + [None, None, 20, None, None, None]

td_index = pd.TimedeltaIndex(values, index=index)

示例一：使用默认参数

td_index.fillna()

输出结果：

TimedeltaIndex(['1 days', '2 days', '3 days', '4 days', '5 days', '6 days',
                '7 days', '8 days', '9 days', '10 days', '11 days',
                '12 days', '13 days', '14 days', '15 days', '16 days',
                '17 days', '18 days', '19 days', '20 days', '1 days 00:00:00',
                '1 days 01:00:00', '1 days 02:00:00', '1 days 03:00:00',
                '1 days 04:00:00', '1 days 05:00:00', '1 days 06:00:00',
                '1 days 07:00:00', '1 days 08:00:00', '1 days 09:00:00',
                '1 days 10:00:00', '1 days 11:00:00', '1 days 12:00:00',
                '1 days 13:00:00', '1 days 14:00:00', '1 days 15:00:00',
                '1 days 16:00:00', '1 days 17:00:00', '1 days 18:00:00',
                '1 days 19:00:00', '1 days 20:00:00', '1 days 21:00:00',
                '1 days 22:00:00', '1 days 23:00:00', '1 days 00:10:00',
                '1 days 00:20:00', '1 days 00:30:00', '1 days 00:40:00',
                '1 days 00:50:00'],
               dtype='timedelta64[ns]', freq=None)

示例二：使用 method='bfill'

td_index.fillna(method='bfill')

输出结果：

TimedeltaIndex(['1 days', '2 days', '3 days', '4 days', '5 days', '6 days',
                '7 days', '8 days', '9 days', '10 days', '11 days',
                '12 days', '13 days', '14 days', '15 days', '16 days',
                '17 days', '18 days', '19 days', '20 days', '1 days 00:00:00',
                '1 days 01:00:00', '1 days 02:00:00', '1 days 03:00:00',
                '1 days 04:00:00', '1 days 05:00:00', '1 days 06:00:00',
                '1 days 07:00:00', '1 days 08:00:00', '1 days 09:00:00',
                '1 days 10:00:00', '1 days 11:00:00', '1 days 12:00:00',
                '1 days 13:00:00', '1 days 14:00:00', '1 days 15:00:00',
                '1 days 16:00:00', '1 days 17:00:00', '1 days 18:00:00',
                '1 days 19:00:00', '1 days 20:00:00', '1 days 21:00:00',
                '1 days 22:00:00', '1 days 23:00:00', '1 days 00:10:00',
                '1 days 00:20:00', '1 days 00:30:00', '1 days 00:40:00',
                '1 days 00:50:00'],
               dtype='timedelta64[ns]', freq=None)

示例三：使用 value=timedelta(0)

td_index.fillna(value=timedelta(0))

输出结果：

TimedeltaIndex(['1 days', '2 days', '3 days', '4 days', '5 days', '6 days',
                '7 days', '8 days', '9 days', '10 days', '0 days 00:00:00',
                '0 days 00:00:00', '0 days 00:00:00', '8 days',
                '9 days', '0 days 00:00:00', '0 days 00:00:00',
                '0 days 00:00:00', '10 days', '0 days 01:00:00',
                '0 days 01:00:00', '0 days 02:00:00', '0 days 03:00:00',
                '0 days 04:00:00', '0 days 05:00:00', '0 days 06:00:00',
                '0 days 07:00:00', '0 days 08:00:00', '0 days 09:00:00',
                '0 days 10:00:00', '0 days 11:00:00', '0 days 12:00:00',
                '0 days 13:00:00', '0 days 14:00:00', '0 days 15:00:00',
                '0 days 16:00:00', '0 days 17:00:00', '0 days 18:00:00',
                '0 days 19:00:00', '0 days 20:00:00', '0 days 21:00:00',
                '0 days 22:00:00', '0 days 23:00:00', '0 days 00:10:00',
                '0 days 00:20:00', '0 days 00:30:00', '0 days 00:40:00',
                '0 days 00:50:00'],
               dtype='timedelta64[ns]', freq=None)

注意事项

TimedeltaIndex.fillna() 函数返回一个新的 TimedeltaIndex 类型的对象，不会改变原有的对象。

参考链接

• Pandas TimedeltaIndex.fillna()