timestamp

问题 I am trying to change the timestamp from one format to another. I tried some approaches but i am not able to succeed. This is my timestamp 151005-12:07:34.917928 I would like to change it to a format like this 2015-10-05 12:07:34:917928 Thanks in Advance 回答1: Here's one way using regular expressions: import re e = '(\d{2})(\d{2})(\d{2})-(\d{2}:\d{2}:\d{2})\.(\d+)' s = '151005-12:07:34.917928' print('20{}-{}-{} {}:{}'.format(*re.search(e, s).groups())) 2015-10-05 12:07:34:917928 Here's another

问题 I am trying to change the timestamp from one format to another. I tried some approaches but i am not able to succeed. This is my timestamp 151005-12:07:34.917928 I would like to change it to a format like this 2015-10-05 12:07:34:917928 Thanks in Advance 回答1: Here's one way using regular expressions: import re e = '(\d{2})(\d{2})(\d{2})-(\d{2}:\d{2}:\d{2})\.(\d+)' s = '151005-12:07:34.917928' print('20{}-{}-{} {}:{}'.format(*re.search(e, s).groups())) 2015-10-05 12:07:34:917928 Here's another

问题 I am trying to convert a dBase .dbf File to a mySQL Database... Its pretty straight forward, but I am stuck at the Timestamp, that is used in my .dbf Database... Here are some Timestamps + the corresponding Date and Time Values: 41594.722222222 - 16.11.2013, 17:20 3472222 41594.725694444 - 16.11.2013, 17:25 3472223 41594.729166667 - 16.11.2013, 17:30 3472222 41594.732638889 - 16.11.2013, 17:35 3472222 41594.736111111 - 16.11.2013, 17:40 3472222 41594.739583333 - 16.11.2013, 17:45 3472223

问题 I am trying to convert a dBase .dbf File to a mySQL Database... Its pretty straight forward, but I am stuck at the Timestamp, that is used in my .dbf Database... Here are some Timestamps + the corresponding Date and Time Values: 41594.722222222 - 16.11.2013, 17:20 3472222 41594.725694444 - 16.11.2013, 17:25 3472223 41594.729166667 - 16.11.2013, 17:30 3472222 41594.732638889 - 16.11.2013, 17:35 3472222 41594.736111111 - 16.11.2013, 17:40 3472222 41594.739583333 - 16.11.2013, 17:45 3472223

问题 I have a timestamp string that looks like this: 2019-02-16T10:41:20.6080000+01:00 I have to parse it to datetime. Because there are 7 instead of 6 digits for microseconds the following format does not match: timestamp = "2019-03-14T14:37:37.000000+01:00" parsed_timestamp = datetime.datetime.strptime(timestamp, "%Y-%m-%dT%H:%M:%S.%f%z") #ValueError: time data '2019-03-14T14:37:37.0000000+01:00' does not match format '%Y-%m-%dT%H:%M:%S.%f%z' How can I parse this format? 回答1: Using dparser:

问题 I have a timestamp string that looks like this: 2019-02-16T10:41:20.6080000+01:00 I have to parse it to datetime. Because there are 7 instead of 6 digits for microseconds the following format does not match: timestamp = "2019-03-14T14:37:37.000000+01:00" parsed_timestamp = datetime.datetime.strptime(timestamp, "%Y-%m-%dT%H:%M:%S.%f%z") #ValueError: time data '2019-03-14T14:37:37.0000000+01:00' does not match format '%Y-%m-%dT%H:%M:%S.%f%z' How can I parse this format? 回答1: Using dparser:

问题 I'm looking for a way to save the last change date of a cell in Excel without using the Worksheet_Change event. for example define a formula like this: =LastChangeDate(A22) and when the cell A22 changed , current date show in target cell 回答1: I make a User Defined Function to do that but its is not completely tested. Note two points before using this function : 1- this function shows result after you save document (ctrl+s) or change another cells 2-only change address of target cell and never

问题 How can I convert unix epoch with milliseconds to timestamp with milliseconds In Hive? Neither cast() nor from_unixtime() function is working to get the timestamp with milliseconds. I tried .SSS but the function just increases the year and doesn't take it as a part of millisecond. scala> spark.sql("select from_unixtime(1598632101000, 'yyyy-MM-dd hh:mm:ss.SSS')").show(false) +-----------------------------------------------------+ |from_unixtime(1598632101000, yyyy-MM-dd hh:mm:ss.SSS)| +-------

问题 I have the data: dput(head(data)) > dput(head(data)) structure(list(Gmt.time = c("01.06.2015 00:00", "01.06.2015 00:01", "01.06.2015 00:02", "01.06.2015 00:03", "01.06.2015 00:04", "01.06.2015 00:05" ), Open = c(0.88312, 0.88337, 0.88377, 0.88412, 0.88393, 0.8838 ), High = c(0.88337, 0.88378, 0.88418, 0.88418, 0.88393, 0.88393 ), Low = c(0.883, 0.88337, 0.88374, 0.88394, 0.88368, 0.88362 ), Close = c(0.88337, 0.88375, 0.88412, 0.88394, 0.8838, 0.88393 ), Volume = c(83.27, 100.14, 117.18, 52

问题 I have the data: dput(head(data)) > dput(head(data)) structure(list(Gmt.time = c("01.06.2015 00:00", "01.06.2015 00:01", "01.06.2015 00:02", "01.06.2015 00:03", "01.06.2015 00:04", "01.06.2015 00:05" ), Open = c(0.88312, 0.88337, 0.88377, 0.88412, 0.88393, 0.8838 ), High = c(0.88337, 0.88378, 0.88418, 0.88418, 0.88393, 0.88393 ), Low = c(0.883, 0.88337, 0.88374, 0.88394, 0.88368, 0.88362 ), Close = c(0.88337, 0.88375, 0.88412, 0.88394, 0.8838, 0.88393 ), Volume = c(83.27, 100.14, 117.18, 52