英文:
Keep one week and one week after data if two dates are same
问题
我有一个数据集，看起来像这样：
我想保留在“Date”等于“Fdate”的情况下前一周和后一周的数据。例如，在给定的数据示例中，1031列中的1/16/2011与1/16/2011相同，然后我想根据日期保留从1/9/2011到1/23/2011的数据。
我该如何实现这一目标？
提前感谢您。
英文:
I have a dataset looks like this:
I want to keep the data one week before and one week after if "Date" equals "Fdate." For example, in the given data sample, 1/16/2011 is same in both columns for 1031, then I want to keep the data from 1/9/2011 to 1/23/2011 (based on Date).
How can I achieve this?
Thank you in advance
答案1
得分: 1
你可以转换为日期时间，加上 ± 1W，并使用 between 进行选择：
df[['Date', 'Fdate']] = df[['Date', 'Fdate']].apply(pd.to_datetime)delta = pd.DateOffset(days=7)# 或者# delta = pd.to_timedelta('7D')df.loc[df['Date'].between(df['Fdate'].sub(delta), df['Fdate'].add(delta))]
输出：
Gvkey Date Fdate prec4 1031 2011-01-09 2011-01-16 5,25 1031 2011-01-10 2011-01-16 5,36 1031 2011-01-11 2011-01-16 5,47 1031 2011-01-12 2011-01-16 5,58 1031 2011-01-13 2011-01-16 5,69 1031 2011-01-14 2011-01-16 5,710 1031 2011-01-15 2011-01-16 5,811 1031 2011-01-16 2011-01-16 5,9
英文:
You can convert to datetime, add ± 1W and select with between:
df[['Date', 'Fdate']] = df[['Date', 'Fdate']].apply(pd.to_datetime)delta = pd.DateOffset(days=7)# or# delta = pd.to_timedelta('7D')df.loc[df['Date'].between(df['Fdate'].sub(delta), df['Fdate'].add(delta))]
Output:
Gvkey Date Fdate prec4 1031 2011-01-09 2011-01-16 5,25 1031 2011-01-10 2011-01-16 5,36 1031 2011-01-11 2011-01-16 5,47 1031 2011-01-12 2011-01-16 5,58 1031 2011-01-13 2011-01-16 5,69 1031 2011-01-14 2011-01-16 5,710 1031 2011-01-15 2011-01-16 5,811 1031 2011-01-16 2011-01-16 5,9
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