平均每五分钟数据作为 pandas 数据框中的一个数据点
问题描述
我在 Pandas 中有一个这样的数据框
I have a Dataframe in Pandas like this
1. 2013-10-09 09:00:05
2. 2013-10-09 09:01:00
3. 2013-10-09 09:02:00
4. ............
5. ............
6. ............
7. 2013-10-10 09:15:05
8. 2013-10-10 09:16:00
9. 2013-10-10 09:17:00
我想通过平均每 5 分钟的数据并为其形成 1 个数据点来减小数据框的大小..像这样
I would like reduce the size of the Dataframe by averaging every 5 mins data and forming 1 datapoint for it ..like this
1. 2013-10-09 09:05:00
2. 2013-10-09 09:10:00
3. 2013-10-09 09:15:00
有人可以帮我吗?
解决方案
你可能想看看 pandas.resample:
df['Data'].resample('5Min', how='mean')
或者，因为 how = 'mean' 是默认参数:
or, as how = 'mean' is default parameter:
df['Data'].resample('5Min')
例如:
>>> rng = pd.date_range('1/1/2012', periods=10, freq='Min')
>>> df = pd.DataFrame({'Data':np.random.randint(0, 500, len(rng))}, index=rng)
>>> df
Data
2012-01-01 00:00:00 488
2012-01-01 00:01:00 172
2012-01-01 00:02:00 276
2012-01-01 00:03:00 5
2012-01-01 00:04:00 233
2012-01-01 00:05:00 266
2012-01-01 00:06:00 103
2012-01-01 00:07:00 40
2012-01-01 00:08:00 274
2012-01-01 00:09:00 494
>>>
>>> df['Data'].resample('5Min')
2012-01-01 00:00:00 234.8
2012-01-01 00:05:00 235.4
您可以找到更多示例这里.
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