pandas How to find all rows within 10 days of any date in a list of dates

Question

I have a list of dates, but I can't just use df['date'].isin(list_of_dates) because I also want any rows whose date is within 10 days of a date in my list. For example, if my dataframe had 5 rows whose dates were

  date    
02-04-21
30-03-21
22-03-21
18-03-21
12-03-21

and list_of_dates = ["30-03-21", "05-03-21"]

then I would want three first three rows because they are within 10 days of "30-03-21" , and also the last row because it is within 10 days of "05-03-21" . But not the fourth row.

Answer 1

I would use pandas.date_range() to generate all the possible dates.

list_of_dates = ["30-03-21", "05-03-21"]

set_of_dates_expand = set()

for date in list_of_dates:
    set_of_dates_expand.update(pd.date_range(start=date, periods=10))
    set_of_dates_expand.update(pd.date_range(end=date, periods=10))

df['date'].isin(set_of_dates_expand)

Answer 2

Target is change list ["30-03-21", "05-03-21"] to below list

Output

2021-03-30  0   
2021-03-31  0
2021-04-01  0
2021-04-02  0
2021-04-03  0
2021-04-04  0
2021-04-05  0
2021-04-06  0
2021-04-07  0
2021-04-08  0

use reample() function

list_of_dates = ["30-03-21", "05-03-21"]
df=pd.DataFrame({'Date':list_of_dates})
df['Date']=pd.to_datetime(df['Date'])
s1=df['Date'].append(
pd.Series(df.loc[0,'Date']+pd.Timedelta('9D'))).append(
pd.Series(df.loc[1,'Date']+pd.Timedelta('9D')))
df1=df1.reset_index().set_index(0)
df1=df1.sort_index()
target=df1.iloc[:2,:].resample('D').fillna(method='ffill').append(
df1.iloc[2:,:].resample('D').fillna(method='ffill'))

Good luck~