Python Data Frame resample on micro second

Question

I am working with resampling data frame and it works on hours, days mins, but doesn\'t resample less then sec. Program just hangs even on short time span. So am I missing someth

Answer 1

sf = "1U" #for one microsecond

For milliseconds/microseconds/seconds use:

L       milliseonds
U       microseconds
S       seconds

Full doc:

B       business day frequency
C       custom business day frequency (experimental)
D       calendar day frequency
W       weekly frequency
M       month end frequency
BM      business month end frequency
CBM     custom business month end frequency
MS      month start frequency
BMS     business month start frequency
CBMS    custom business month start frequency
Q       quarter end frequency
BQ      business quarter endfrequency
QS      quarter start frequency
BQS     business quarter start frequency
A       year end frequency
BA      business year end frequency
AS      year start frequency
BAS     business year start frequency
BH      business hour frequency
H       hourly frequency
T       minutely frequency
S       secondly frequency
L       milliseonds
U       microseconds
N       nanoseconds

Answer 2

If I understand your problem correctly you can't resample microseconds to another frequency that is less than a second, right? I made a toy example and there doesn't seem to be a problem though:

import pandas as pd
import numpy as np

np.random.seed(0)
index=pd.date_range('22/10/2010', periods=100000, freq='U')
example=pd.Series(index=index,data=np.random.randn(100000))
example.resample('ms',how='sum')

This gives the expected output.

(I think your problem is that you are trying to resample data that are in a microsecond format to microseconds itself, which doesn't make any sense. You want to either upsample or downsample (as in my example).)