DateTime | package provides a DateTime data type | Date Time Utils library
kandi X-RAY | DateTime Summary
kandi X-RAY | DateTime Summary
This package provides a DateTime data type, as known from Zope. Unless you need to communicate with Zope APIs, you're probably better off using Python's built-in datetime module.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Return the name of the local time zone .
- Calculate Julian Day from Julian day .
- Determine the offset of the time zone .
- Calculate the second second second of a timezone - dependent second .
- Calculate the Julian day from Julian date .
- Return the offset from a tzinfo .
- Return an ISO 8601 date .
- Return default date format .
- Calculate and return YMMHMS time .
- Correct a year .
DateTime Key Features
DateTime Examples and Code Snippets
def gauss_easter(year: int) -> datetime:
"""
Calculation Gregorian easter date for given year
>>> gauss_easter(2007)
datetime.datetime(2007, 4, 8, 0, 0)
>>> gauss_easter(2008)
datetime.datetime(2008, 3,
def _utcnow():
"""A wrapper function around datetime.datetime.utcnow.
This function is created for unit testing purpose. It's not easy to do
StubOutWithMock with datetime.datetime package.
Returns:
datetime.datetime
"""
return datet
Community Discussions
Trending Discussions on DateTime
QUESTION
I'm new to Python. I have a dictionary where some fields are dates ( datetime.datetime
type) and I need to use comprehension to convert those to MM/DD/YYYY strings in a new cloned dictionary.
I was getting started with
...ANSWER
Answered 2021-Jun-16 at 02:15You can use a conditional expression:
QUESTION
I only can separate date and time to one column.
How can i separate date and time to all columns?
...ANSWER
Answered 2021-Jun-15 at 15:28QUESTION
People of Stack Overflow!
Thanks for taking the time to read this question. What I am trying to accomplish is to pivot some data all from just one table.
The original table has multiple datetime entries of specific events (e.g. when the customer was added add_time
and when the customer was lost lost_time
).
This is one part of two rows of the deals table:
I want to create a view of this table. A view that has one row for each distinct date and counts the number of events at this specific time.
This is the goal (times do not match with the example!):
I have working code, like this:
...ANSWER
Answered 2021-Jun-15 at 17:03You can use a lateral join to unpivot and then aggregate:
QUESTION
I have a dataframe output from the python script which gives following output
Datetime High Low Time 546 2021-06-15 14:30:00 15891.049805 15868.049805 14:30:00 547 2021-06-15 14:45:00 15883.000000 15869.900391 14:45:00 548 2021-06-15 15:00:00 15881.500000 15866.500000 15:00:00 549 2021-06-15 15:15:00 15877.750000 15854.549805 15:15:00 550 2021-06-15 15:30:00 15869.250000 15869.250000 15:30:00i Want to remove all rows where time is equal to 15:30:00. tried different things but unable to do. Help please.
...ANSWER
Answered 2021-Jun-15 at 15:55The way I did was the following,
First we get the the time we want to remove from the dataset, that is 15:30:00 in this case.
Since the Datetime column is in the datetime format, we cannot compare the time as strings. So we convert the given time in the datetime.time() format.
rm_time = dt.time(15,30)
With this, we can go about using the DataFrame.drop()
df.drop(df[df.Datetime.dt.time == rm_time].index)
QUESTION
Situation: I have two dataframes df1 and df2, where df1 has a datetime index based on days, and df2 has two date columns 'wk start' and 'wk end' that are weekly ranges as well as one data column 'statistic' that stores data corresponding to the week range.
What I would like to do: Add to df1 a column for 'statistic' whereby I lookup each date (on a daily basis, i.e. each row) and try to find the corresponding 'statistic' depending on the week that this date falls into.
I believe the answer would require merging df2 into df1 but I'm lost as to how to proceed after that.
Appreciate any help you might provide! Thanks!
df1: (note: I skipped the rows between 2019-06-12 and 2019-06-16 to keep the example short.)
age date 2019-06-10 20 2019-06-11 21 2019-06-17 19 2019-06-18 18df2:
wk start wk end statistic 2019-06-10 2019-06-14 102 2019-06-17 2019-06-21 100 2019-06-24 2019-06-28 547 2019-07-02 2019-07-25 268Desired output:
age statistic date :--- :-------- 2019-06-10 20 102 2019-06-11 21 102 2019-06-17 19 100 2019-06-18 18 100code for the dataframes d1 and d2
...ANSWER
Answered 2021-Jun-15 at 09:37You could loop through the dataframe and subset the second dataframe as you go.
QUESTION
I am in the process of learning SQLAlchemy and I am stuck on the below filter as it returns nothing for some reason.
...ANSWER
Answered 2021-Jun-15 at 14:45I am not sure but perhaps you need a str method in your model. Can you add something like
QUESTION
Yet another question about the style and the good practices. The code, that I will show, works and do the functionality. But I'd like to know is it ok as solution or may be it's just too ugly?
As the question is a little bit obscure, I will give some points at the end.
So, the use case.
I have a site with the items. There is a functionality to add the item by user. Now I'd like a functionality to add several items via a csv-file.
How should it works?
- User go to special upload page.
- User choose a csv-file, click upload.
- Then he is redirected to the page that show the content of csv-file (as a table).
- If it's ok for user, he clicks "yes" (button with "confirm_items_upload" value) and the items from file are added to database (if they are ok).
I saw already examples for bulk upload for django, and they seem pretty clear. But I don't find an example with an intermediary "verify-confirm" page. So how I did it :
- in views.py : view for upload csv-file page
ANSWER
Answered 2021-May-28 at 09:27a) Even if obviously it could be better, is this solution is acceptable or not at all ?
I think it has some problems you want to address, but the general idea of using the filesystem and storing just filenames can be acceptable, depending on how many users you need to serve and what guarantees regarding data consistency and concurrent accesses you want to make.
I would consider the uploaded file temporary data that may be lost on system failure. If you want to provide any guarantees of not losing the data, you want to store it in a database instead of on the filesystem.
b) I pass 'uploaded_file' from one view to another using "request.session" is it a good practice? Is there another way to do it without using GET variables?
There are up- and downsides to using request.session.
- attackers can not change the filename and thus retrieve data of other users. This is also the reason why you should not use a GET parameter here: If you used one, attackers could simpy change that parameter and get access to files of other users.
- users can upload a file, go and do other stuff, and later come back to actually import the file, however:
- if users end their session, you lose the filename. Also, users can not upload the file on one device, change to another device, and then go on with the import, since the other device will have a different session.
The last point correlates with the leftover files problem: If you lose your information about which files are still needed, it makes cleaning up harder (although, in theory, you can retrieve which files are still needed from the session store).
If it is a problem that sessions might end or change because users clear their cookies or change devices, you could consider adding the filename to the UserProfile
in the database. This way, it is not bound to sessions.
c) At first my wish was to avoid to save the csv-file. But I could not figure out how to do it? Reading all the file to request.session seems not a good idea for me. Is there some possibility to upload the file into memory in Django?
You want to store state. The go-to ways of storing state are the database or a session store. You could load the whole CSVFile and put it into the database as text. Whether this is acceptable depends on your databases ability to handle large, unstructured data. Traditional databases were not originally built for that, however, most of them can handle small binary files pretty well nowadays. A database could give you advantages like ACID guarantees where concurrent writes to the same file on the file system will likely break the file. See this discussion on the dba stackexchange
Your database likely has documentation on the topic, e.g. there is this page about binary data in postgres.
d) If I have to use the tmp-file. How should I handle the situation if user abandon upload at the middle (for example, he sees the confirmation page, but does not click "yes" and decide to re-write his file). How to remove the tmp-file?
Some ideas:
- Limit the count of uploaded files per user to one by design. Currently, your filename is based on a timestamp. This breaks if two users simultaneously decide to upload a file: They will both get the same timestamp, and the file on disk may be corrupted. If you instead use the user's primary key, this guarantees that you have at most one file per user. If they later upload another file, their old file will be overwritten. If your user count is small enough that you can store one leftover file per user, you don't need additional cleaning. However, if the same user simultaneusly uploads two files, this still breaks.
- Use a unique identifier, like a UUID, and delete the old stored file whenever the user uploads a new file. This requires you to still have the old filename, so session storage can not be used with this. You will still always have the last file of the user in the filesystem.
- Use a unique identifier for the filename and set some arbitrary maximum storage duration. Set up a cronjob or similar that regularly goes through the files and deletes all files that have been stored longer than your specified maximum duration. If a user uploads a file, but does not do the actual import soon enough, their data is deleted, and they would have to do the upload again. Here, your code has to handle the case that the file with the stored filename does not exist anymore (and may even be deleted while you are reading the file).
You probably want to limit your server to one file stored per user so that attackers can not fill your filesystem.
e) Small additional question : what kind of checks there are in Django about uploaded file? For example, how could I check that the file is at least a text-file? Should I do it?
You definitely want to set up some maximum file size for the file, as described e.g. here. You could limit the allowed file extensions, but that would only be a usability thing. Attackers could also give you garbage data with any accepted extension.
Keep in mind: If you only store the csv as text data that you load and parse everytime a certain view is accessed, this can be an easy way for attackers to exhaust your servers, giving them an easy DoS attack.
Overall, it depends on what guarantees you want to make, how many users you have and how trustworthy they are. If users might be malicious, you want to keep all possible kinds of data extraction and resource exhaustion attacks in mind. The filesystem will not scale out (at least not as easily as a database).
I know of a similar setup in a project where only a handful of priviliged users are allowed to upload stuff, and we can tolerate deletion of all temporary files on failure. Users will simply have to reupload their files. This works fine.
QUESTION
Whenever I tried to run my application it will not execute and show this error.
Error:
I have tried to search it but I did not get any useful information about it and most of all I did make changes to Web.config
but still cannot find the web.config
in my application. Any help which could solve this problem will be appreciated.
Image of Solution Explorer where I cannot find web.config
file:
Employee
Controller:
ANSWER
Answered 2021-Jun-15 at 13:20you should run your Web API from this address http://localhost:18084/Employee
QUESTION
Could you please help me with a script that prints the first 10 working days or weekdays in a specified month and year to a file?
In my case, the month and year values are specified in a file and the content of the file looks like this:
...ANSWER
Answered 2021-Jun-15 at 12:54Here's an example:
QUESTION
I am trying to declare a list of strings and added DateTime to it. However I get the error cannot convert from 'System.Collections.Generic.List' to 'string'
when I do something like this as given below:
ANSWER
Answered 2021-Jun-15 at 12:03AllTime_
is a List
so each element is one single string
not again a List
so Add
has a single string
as parameter - you are trying to give it an entire list.
Only problem is the List is redefined and the size of the list changes
This doesn't sound quite right either ;) What happens is you overwrite the list. The size should be the same since you Select
the same amount of items. What you rather want though is combining both results into one single list.
You are probably looking for AddRange
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DateTime
You can use DateTime like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page