Python.Count Unique Value over rolling past 3 days: 计算过去3天滚动的唯一值

问题描述 投票:0回答:1

我有一个DF是用户访问数据的时间序列。

UserID     Access Date
a          10/01/2019
b          10/01/2019
c          10/01/2019
a          10/02/2019
b          10/02/2019 
d          10/02/2019
e          10/03/2019
f          10/03/2019
a          10/03/2019
b          10/03/2019
a          10/04/2019
b          10/04/2019
c          10/05/2019

我有另一个列出日期的df,我想汇总过去3天滚动的UserIDs的唯一出现次数。预期的输出会像下面这样。

Date         Past_3_days_unique_count
10/01/2019   NaN
10/02/2019   NaN
10/03/2019   6
10/04/2019   5
10/04/2019   5   

我如何才能实现这个目标?

python python-3.x pandas rolling-computation
1个回答
1
投票

这很直接--让我通过下面的片段及其注释来引导你完成它。

import pandas as pd
import numpy as np

# Generate some dates
dates = pd.date_range("01-01-2016", "01-10-2016", freq="6H")

# Generate some user ids
ids = np.random.randint(1, 5, len(dates))

df = pd.DataFrame({"id": ids, "date": dates})

# Collect unique IDs for each day
q = df.groupby(df["date"].dt.to_period("D"))["id"].nunique()

# Grab the rolling sum over 3 previous days which is what we wanted
q.rolling(3).sum()

0
投票

使用pandas groupby的文档非常好。

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