timestamp

问题 I've been working on some raw data obtained from a fingerprint machine(zkemkeeper/ZEM560). I found out that there is a sets of data written in hex and I believe it is a 4 bytes, little endian number of seconds from a certain date. Here some examples of the raw data, actual result and expected date(got from GUI). My purpose is to get the expected date from the raw data. What I have tried was, import datetime sample_expected_date = datetime.datetime(2019, 11, 29, 20, 45, 22).timestamp() sample

问题 In Postgres I want to store table's last update/insert time. Microsoft SQL Server offers a type timestamp which is automatically maintained by the database. But timestamp in Postgres works differently, it is not updated automatically and the column is always null. 回答1: In postgresql, you have to use a trigger. You can follow this link on how to do it https://x-team.com/blog/automatic-timestamps-with-postgresql/ . To summarize the article you can do the following: Create the Pl/Pgsql function

问题 In Postgres I want to store table's last update/insert time. Microsoft SQL Server offers a type timestamp which is automatically maintained by the database. But timestamp in Postgres works differently, it is not updated automatically and the column is always null. 回答1: In postgresql, you have to use a trigger. You can follow this link on how to do it https://x-team.com/blog/automatic-timestamps-with-postgresql/ . To summarize the article you can do the following: Create the Pl/Pgsql function

问题 I have a dataframe with some (hundreds of) million of rows. And I want to convert datetime to timestamp effectively. How can I do it? My sample df : df = pd.DataFrame(index=pd.DatetimeIndex(start=dt.datetime(2016,1,1,0,0,1), end=dt.datetime(2016,1,2,0,0,1), freq='H'))\ .reset_index().rename(columns={'index':'datetime'}) df.head() datetime 0 2016-01-01 00:00:01 1 2016-01-01 01:00:01 2 2016-01-01 02:00:01 3 2016-01-01 03:00:01 4 2016-01-01 04:00:01 Now I convert datetime to timestamp value-by

问题 This question already has answers here : Difference between java HH:mm and hh:mm on SimpleDateFormat (5 answers) Comparing time is incorrect when picking 12:00 (3 answers) Closed 2 years ago . I have having an issue converting dates in a json file to a timestamp. When the hour = 12, the timestamp being returned is incorrect. Java version 1.8.0_171 Using the code snippet below, I expect the output to be 2017-07-19 07:43:42.0 2017-07-18 08:43:42.0 2017-07-19 09:43:42.0 Instead, I get 2017-07-19

问题 This question already has answers here : Difference between java HH:mm and hh:mm on SimpleDateFormat (5 answers) Comparing time is incorrect when picking 12:00 (3 answers) Closed 2 years ago . I have having an issue converting dates in a json file to a timestamp. When the hour = 12, the timestamp being returned is incorrect. Java version 1.8.0_171 Using the code snippet below, I expect the output to be 2017-07-19 07:43:42.0 2017-07-18 08:43:42.0 2017-07-19 09:43:42.0 Instead, I get 2017-07-19

问题 I have two dataframes. df1contains number and timestamps. It is a very large set. df1.head() Out[292]: 2016-08-31 08:09:00 1.0 2016-08-31 08:11:00 7.0 2016-08-31 08:14:00 90.0 df2 contains intervals d2.head() Out[292]: start stop C 2016-08-31 08:09:00 2016-08-31 08:12:00 'a' 2016-08-31 08:13:00 2016-08-31 08:20:00 'b' 2016-08-31 08:20:00 2016-08-31 08:45:00 'c' I would like to add a new column C to df1 such that the value of C is corresponding to the value in df2 for the interval which

问题 I am developing a ad site that anyone able to upload 3 images. So I am coding to upload that 3 images by adding timestamp in front of their file name to make them unique. I use codeigniter framework and attaching the code below. when I submitting form data, localhost server shows that images have been saved correctly with some code infornt of image filename. But problem is there are no images saved in relevant image folder in that name and I cannot retrieve that images in next preview

问题 In my application I am recording video using MediaRecorder . Is there a way how I can count up a timestamp (as precise as possible) durring recording a video. I need this timestamp in order to synchronize some data with the recorded video afterwards. 回答1: You can get the timestamp by calling to: Long timestamp = System.currentTimeMillis() Just call it after you call start() . 回答2: I think you can get timestamp from SurfaceTextur getTimestamp(). The base time (zero point) will be set by the

问题 It is my understanding that EST, US/Eastern and America/New_York should be the same, but apparently I was wrong. when I do the following: pd.Timestamp('2011-07-03T07:00:00-04:00').tz_convert('US/Eastern') which gave: Timestamp('2011-07-03 07:00:00-0400', tz='US/Eastern') when I do: pd.Timestamp('2011-07-03T07:00:00-04:00').tz_convert('EST') it gives: Timestamp('2011-07-03 06:00:00-0500', tz='EST') when I do: pd.Timestamp('2011-07-03T07:00:00-40:00').tz_convert('America/New_York') it gives: