filter pandas dataframe for past x days
Try this:
import datetime
import pandas as pd
df[df.the_date_column > datetime.datetime.now() - pd.to_timedelta("30day")]
Update: Edited as suggested by Josh.
consider the df
today = pd.datetime.today().date()
begin = today - pd.offsets.Day(90)
tidx = pd.date_range(begin, today)
df = pd.DataFrame(dict(A=np.arange(len(tidx))), tidx)
you can slice the last 30 days like this
cut_off = today - pd.offsets.Day(29)
df[cut_off:]
A
2016-09-23 61
2016-09-24 62
2016-09-25 63
2016-09-26 64
2016-09-27 65
2016-09-28 66
2016-09-29 67
2016-09-30 68
2016-10-01 69
2016-10-02 70
2016-10-03 71
2016-10-04 72
2016-10-05 73
2016-10-06 74
2016-10-07 75
2016-10-08 76
2016-10-09 77
2016-10-10 78
2016-10-11 79
2016-10-12 80
2016-10-13 81
2016-10-14 82
2016-10-15 83
2016-10-16 84
2016-10-17 85
2016-10-18 86
2016-10-19 87
2016-10-20 88
2016-10-21 89
2016-10-22 90