timestamp

How Do I Force A Specific Date Value into a Timestamp? [closed]

送分小仙女□ 提交于 2020-06-26 22:05:14
问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 17 days ago . Improve this question So I have a date value I had to convert to a timestamp in order to pass the value to a specific method. However, in order to finish the work, I've been told the value of the timestamp's date has to be set to 1900-01-01. So something like this Date startDate = timesDate

How to split data using Time Based in Test and Train Respectively

只谈情不闲聊 提交于 2020-06-24 07:57:33
问题 How to split data into Train and Test by using time-based split. I know that train_test_split splits it randomly how to split it based on Time. X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42) # this splits the data randomly as 67% test and 33% train How to Split the same data set based on time as 67% train and 33% test? The dataset has a column TimeStamp. I tried searching on the similar questions but was not sure about the approach. Can someone

Pandas: Convert Timestamp to datetime.date

旧巷老猫 提交于 2020-06-24 03:09:09
问题 I have a pandas column of Timestamp data In [27]: train["Original_Quote_Date"][6] Out[27]: Timestamp('2013-12-25 00:00:00') How can check equivalence of these objects to datetime.date objects of the type datetime.date(2013, 12, 25) 回答1: Use the .date method: In [11]: t = pd.Timestamp('2013-12-25 00:00:00') In [12]: t.date() Out[12]: datetime.date(2013, 12, 25) In [13]: t.date() == datetime.date(2013, 12, 25) Out[13]: True To compare against a DatetimeIndex (i.e. an array of Timestamps), you

Pandas: Convert Timestamp to datetime.date

╄→гoц情女王★ 提交于 2020-06-24 03:08:42
问题 I have a pandas column of Timestamp data In [27]: train["Original_Quote_Date"][6] Out[27]: Timestamp('2013-12-25 00:00:00') How can check equivalence of these objects to datetime.date objects of the type datetime.date(2013, 12, 25) 回答1: Use the .date method: In [11]: t = pd.Timestamp('2013-12-25 00:00:00') In [12]: t.date() Out[12]: datetime.date(2013, 12, 25) In [13]: t.date() == datetime.date(2013, 12, 25) Out[13]: True To compare against a DatetimeIndex (i.e. an array of Timestamps), you

Pandas: Convert Timestamp to datetime.date

僤鯓⒐⒋嵵緔 提交于 2020-06-24 03:07:32
问题 I have a pandas column of Timestamp data In [27]: train["Original_Quote_Date"][6] Out[27]: Timestamp('2013-12-25 00:00:00') How can check equivalence of these objects to datetime.date objects of the type datetime.date(2013, 12, 25) 回答1: Use the .date method: In [11]: t = pd.Timestamp('2013-12-25 00:00:00') In [12]: t.date() Out[12]: datetime.date(2013, 12, 25) In [13]: t.date() == datetime.date(2013, 12, 25) Out[13]: True To compare against a DatetimeIndex (i.e. an array of Timestamps), you

why datetime.now() and datetime.utcnow() return different timestamp

那年仲夏 提交于 2020-06-23 08:16:07
问题 I'm working with datetime and find it difficult to understand how timestamp() works, I (in east coast) want to transform the datetime into timestamp, but I found following difference. Can anyone shed somelight how each of the two code works, are they suppose to act differently (roughly a difference of four hours)? import datetime datetime.datetime.utcnow().timestamp() #1590436949.187297 datetime.datetime.now(tz=datetime.timezone.utc).timestamp() #1590422553.042119 回答1: The timestamp() method

How can I return LocalDate.now() in milliseconds?

a 夏天 提交于 2020-06-22 09:35:21
问题 I create date now: ZoneId gmt = ZoneId.of("GMT"); LocalDateTime localDateTime = LocalDateTime.now(); LocalDate localDateNow = localDateTime.toLocalDate(); Then I want return this date in milliseconds: localDateNow.atStartOfDay(gmt) - 22.08.2017 localDateNow.atStartOfDay(gmt).toEpochSecond(); - 1503360000 (18.01.70) How can I return LocalDate.now() in milliseconds? 回答1: Calling toInstant().toEpochMilli() , as suggested by @JB Nizet's comment, is the right answer, but there's a little and

How convert input type=“date” in timestamp javascript-jquery

半城伤御伤魂 提交于 2020-06-12 06:19:01
问题 I need to convert a in a timestamp, this is my html code: <input type="date" name="date_end" id="date_end"> This field has a value that I have put like 25/10/2017 My jquery code is: var dataEnd = $('[name="date_end"]').val(); if (!dataEnd) { return false; } else { var timestamp_end=$('[name="date_start"]').val().getTime(); console.log("TIMESTAMP END "+timestamp_end); ..... } But this is not work, anyone can help me? 回答1: make a new Date() passing the value of your input as parameter, then

How convert input type=“date” in timestamp javascript-jquery

随声附和 提交于 2020-06-12 06:17:51
问题 I need to convert a in a timestamp, this is my html code: <input type="date" name="date_end" id="date_end"> This field has a value that I have put like 25/10/2017 My jquery code is: var dataEnd = $('[name="date_end"]').val(); if (!dataEnd) { return false; } else { var timestamp_end=$('[name="date_start"]').val().getTime(); console.log("TIMESTAMP END "+timestamp_end); ..... } But this is not work, anyone can help me? 回答1: make a new Date() passing the value of your input as parameter, then

Pandas Datetime AVERAGE

会有一股神秘感。 提交于 2020-06-08 13:17:44
问题 DataFrame where Date is datetime: Column | Date :-----------|----------------------: A | 2018-08-05 17:06:01 A | 2018-08-05 17:06:02 A | 2018-08-05 17:06:03 B | 2018-08-05 17:06:07 B | 2018-08-05 17:06:09 B | 2018-08-05 17:06:11 Return Table is; Column | Date :-----------|----------------------: A | 2018-08-05 17:06:02 B | 2018-08-05 17:06:09 回答1: For your example. Your data: df = pd.DataFrame(data=[['A', '2018-08-05 17:06:01'], ['A', '2018-08-05 17:06:02'], ['A', '2018-08-05 17:06:03'], ['B'