timedelta

问题 Original Question I'm stuck on the following problem. I'm trying to figure out at which moments in time and for how long a vehicle is situated at the factory. I have an excel sheet in which all events are stored which are either delivery routes or maintenance events. The ultimate goal is to obtain a dataframe in which the vehicle registration number is given with the corresponding arrival at the factory and the time spend there(including maintenance actions). For people interested, this is

问题 I want to plot a dataframe, which has a timedelta64 index with the index on the x-axis. The index looks like this: In [75]: test.index Out[75]: TimedeltaIndex([ '00:00:00', '00:00:00.020000', '00:00:00.040000', '00:00:00.060000', '00:00:00.080000', '00:00:00.100000', '00:00:00.120000', '00:00:00.140000', '00:00:00.160000', '00:00:00.180000', ... '07:29:31.660000', '07:29:31.680000', '07:29:31.700000', '07:29:31.720000', '07:29:31.740000', '07:29:31.760000', '07:29:31.780000', '07:29:31.800000

问题 I want to plot a dataframe, which has a timedelta64 index with the index on the x-axis. The index looks like this: In [75]: test.index Out[75]: TimedeltaIndex([ '00:00:00', '00:00:00.020000', '00:00:00.040000', '00:00:00.060000', '00:00:00.080000', '00:00:00.100000', '00:00:00.120000', '00:00:00.140000', '00:00:00.160000', '00:00:00.180000', ... '07:29:31.660000', '07:29:31.680000', '07:29:31.700000', '07:29:31.720000', '07:29:31.740000', '07:29:31.760000', '07:29:31.780000', '07:29:31.800000

问题 I want to plot a dataframe, which has a timedelta64 index with the index on the x-axis. The index looks like this: In [75]: test.index Out[75]: TimedeltaIndex([ '00:00:00', '00:00:00.020000', '00:00:00.040000', '00:00:00.060000', '00:00:00.080000', '00:00:00.100000', '00:00:00.120000', '00:00:00.140000', '00:00:00.160000', '00:00:00.180000', ... '07:29:31.660000', '07:29:31.680000', '07:29:31.700000', '07:29:31.720000', '07:29:31.740000', '07:29:31.760000', '07:29:31.780000', '07:29:31.800000

问题 I want to be able to implement a condition in my program where it would only run for N number of hours, maybe the user could specify N, but let's not jump ahead. I figured I could use datetime.now() and store the value below in a variable, time >>> time >>> time = datetime.datetime(2013, 12, 9, 21, 50, 32, 405329) Any ideas on how I can access the fourth field between the (--), seeing as it's a string? My condition would be something like while time != timeEnd where timeEnd would be the value

问题 I have an object called Item. It has 2 fields: a datetime row called "created_on," and an integer row called "days." I want to query for all objects that were created "days" many days ago. Here's how I thought it should be done: now = utcnow() session.query(Item).filter(Item.created_on + Interval(timedelta(days=Item.days)) <= now) But I'm unable to create a timedelta like this. I'm getting this error: TypeError: unsupported type for timedelta minutes component: InstrumentedAttribute Update:

问题 I'm analysing a Apache log file and I have imported it in to a pandas dataframe. '65.55.52.118 - - [30/May/2013:06:58:52 -0600] "GET /detailedAddVen.php?refId=7954&uId=2802 HTTP/1.1" 200 4514 "-" "Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)"' My dataframe: I want to group this in to sessions based on IP, Agent and Time difference (If the duration of time is greater than 30 mins it should be a new session). It is easy to group the dataframe by IP and Agent but how

问题 I'm analysing a Apache log file and I have imported it in to a pandas dataframe. '65.55.52.118 - - [30/May/2013:06:58:52 -0600] "GET /detailedAddVen.php?refId=7954&uId=2802 HTTP/1.1" 200 4514 "-" "Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)"' My dataframe: I want to group this in to sessions based on IP, Agent and Time difference (If the duration of time is greater than 30 mins it should be a new session). It is easy to group the dataframe by IP and Agent but how

问题 I'm getting errors when running the code samples from the pandas documentation. I suspect it might be related to the version of pandas I'm using, but I haven't been able to confirm that. pandas VERSION 0.10.1 numpy VERSION 1.7.0 scipy VERSION 0.12.0.dev-14b1e07 The below examples are taken directly from the pandas documentation here: pandas - Time Deltas This works from datetime import datetime, timedelta from pandas import * s = Series(date_range('2012-1-1', periods=3, freq='D')) s Out[52]:

问题 I'm getting errors when running the code samples from the pandas documentation. I suspect it might be related to the version of pandas I'm using, but I haven't been able to confirm that. pandas VERSION 0.10.1 numpy VERSION 1.7.0 scipy VERSION 0.12.0.dev-14b1e07 The below examples are taken directly from the pandas documentation here: pandas - Time Deltas This works from datetime import datetime, timedelta from pandas import * s = Series(date_range('2012-1-1', periods=3, freq='D')) s Out[52]: