timedelta

SDL_GetTicks() accuracy below the millisecond level

a 夏天 提交于 2019-12-19 21:20:23
问题 I program currently something with SDL2. All works fine, but I have a problem with the SDL_GetTicks() method. Normally it should return the total application time in milliseconds, but it always returns most of the time the value 0 and sometimes the value 1. I initialized SDL with SDL_INIT_EVERYTHING flag. The problem with the following code is the loop is too fast, so the delta time is smaller than 1 ms. Is there a method to achieve a higher precision? #include "Application.hpp" void

SDL_GetTicks() accuracy below the millisecond level

若如初见. 提交于 2019-12-19 21:20:21
问题 I program currently something with SDL2. All works fine, but I have a problem with the SDL_GetTicks() method. Normally it should return the total application time in milliseconds, but it always returns most of the time the value 0 and sometimes the value 1. I initialized SDL with SDL_INIT_EVERYTHING flag. The problem with the following code is the loop is too fast, so the delta time is smaller than 1 ms. Is there a method to achieve a higher precision? #include "Application.hpp" void

Sprites sequence control through DeltaTime

谁说胖子不能爱 提交于 2019-12-18 09:48:31
问题 Previously in my main loop of the game, the time was managed at 60 FPS and the respective Delay for the time delay. The Sprite sequence was animated as follows: <pre> if(++ciclos > 10){ siguienteSprite++; ciclos = 0; } </pre> Given that I am using Smooth Motion with DeltaTime, therefore I have eliminated Delay from the Main Cycle; Making this the sprites cycles of the animation are faster, and not only this, but also the time between each sequence varies. Someone could give me a hand, only

How can I make a python numpy arange of datetime

馋奶兔 提交于 2019-12-17 18:34:20
问题 I have some input data, with timestamps in the input file in the form of hours from the date time specified in the filename. This is a bit useless, so I need to convert it to python datetime.datetime objects, and then put it in a numpy array. I could write a for loop, but I'd like to do something like: numpy.arange(datetime.datetime(2000, 1,1), datetime.datetime(2000, 1,2), datetime.timedelta(hours=1)) which throws a TypeError. Can this be done? I'm stuck with python 2.6 and numpy 1.6.1. 回答1:

Convert datetime.time into datetime.timedelta in Python 3.4

我们两清 提交于 2019-12-17 16:58:51
问题 I am trying to convert two "durations", however I am currently receiving a TypeError due to one being a datetime.timedelta and one being a datetime.time : TypeError: unorderable types: datetime.time() <= datetime.timedelta() What is an efficient way to convert a datetime.time to a datetime.timedelta ? I have checked the docs and there is no built-in method for conversion between these two types. 回答1: datetime.time() is not a duration , it is a point in a day. If you want to interpret it as a

Python pandas cumsum() reset after hitting max

隐身守侯 提交于 2019-12-17 14:51:19
问题 I have a pandas DataFrame with timedeltas as a cumulative sum of those deltas in a separate column expressed in milliseconds. An example is provided below: Transaction_ID Time TimeDelta CumSum[ms] 1 00:00:04.500 00:00:00.000 000 2 00:00:04.600 00:00:00.100 100 3 00:00:04.762 00:00:00.162 262 4 00:00:05.543 00:00:00.781 1043 5 00:00:09.567 00:00:04.024 5067 6 00:00:10.654 00:00:01.087 6154 7 00:00:14.300 00:00:03.646 9800 8 00:00:14.532 00:00:00.232 10032 9 00:00:16.500 00:00:01.968 12000 10

Python: Adding hours to pandas timestamp

☆樱花仙子☆ 提交于 2019-12-17 07:52:33
问题 I read a csv file into pandas dataframe df and I get the following: df.columns Index([u'TDate', u'Hour', u'SPP'], dtype='object') >>> type(df['TDate'][0]) <class 'pandas.tslib.Timestamp'> type(df['Hour'][0]) <type 'numpy.int64'> >>> type(df['TradingDate']) <class 'pandas.core.series.Series'> >>> type(df['Hour']) <class 'pandas.core.series.Series'> Both the Hour and TDate columns have 100 elements. I want to add the corresponding elements of Hour to TDate. I tried the following: import pandas

calculate the difference between two datetime.date() dates in years and months

懵懂的女人 提交于 2019-12-17 07:38:10
问题 I want to calculate the difference between two datetime.date() dates in years and months. For example; d1 = date(2001,5,1) d2 = date(2012,1,1) d3 = date(2001,1,1) d4 = date(2012,5,1) diff1 = d2 - d1 diff2 = d4 - d3 Desired result: diff1 == 10 years & 8 months. diff2 == 11 years & 4 months. Thanks. 回答1: If you are able to install the excellent dateutil package, you can do this: >>> from dateutil import relativedelta as rdelta >>> from datetime import date >>> d1 = date(2001,5,1) >>> d2 = date

Python timedelta issue with negative values

风流意气都作罢 提交于 2019-12-17 07:27:31
问题 Hi I need some help to understand why this is happening. I have a method to track 'time remaining' in an event program: def get_program_time_budget(self): return self.estimated_duration-self.get_program_duration() All fine when the estimated_duration > self.get_program_duration() but when this goes the other way things get funny. Results are displayed to the user: Estimated 11 hours Allocated 10 hours 55 minutes Remaining 5 minutes When the result goes negative it does this: Estimated 11

Python timedelta in years

守給你的承諾、 提交于 2019-12-17 05:37:59
问题 I need to check if some number of years have been since some date. Currently I've got timedelta from datetime module and I don't know how to convert it to years. 回答1: You need more than a timedelta to tell how many years have passed; you also need to know the beginning (or ending) date. (It's a leap year thing.) Your best bet is to use the dateutil.relativedelta object, but that's a 3rd party module. If you want to know the datetime that was n years from some date (defaulting to right now),