time_series | ye olde time_series | Date Time Utils library

 by   ericniebler C++ Version: Current License: BSL-1.0

kandi X-RAY | time_series Summary

kandi X-RAY | time_series Summary

time_series is a C++ library typically used in Utilities, Date Time Utils applications. time_series has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

ye olde time_series library, now unmaintained
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              time_series has a low active ecosystem.
              It has 13 star(s) with 2 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              time_series has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of time_series is current.

            kandi-Quality Quality

              time_series has no bugs reported.

            kandi-Security Security

              time_series has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              time_series is licensed under the BSL-1.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              time_series releases are not available. You will need to build from source code and install.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of time_series
            Get all kandi verified functions for this library.

            time_series Key Features

            No Key Features are available at this moment for time_series.

            time_series Examples and Code Snippets

            No Code Snippets are available at this moment for time_series.

            Community Discussions

            QUESTION

            How get consecutives weeks in a group in df python?
            Asked 2021-Jun-03 at 15:52

            I have the follow df_m:

            ...

            ANSWER

            Answered 2021-May-31 at 19:59

            QUESTION

            Multiple dates rows to turn in 2 columns in a df with a interval start date and end date
            Asked 2021-Jun-03 at 15:39

            I have the following df:

            ...

            ANSWER

            Answered 2021-Jun-03 at 15:39

            I am grouping by consecutive year week. for more explanation on grouping by consecutive elements see this:

            Try:

            Source https://stackoverflow.com/questions/67806959

            QUESTION

            First week of year considering the first day last year
            Asked 2021-Jun-01 at 17:13

            I have the following df:

            ...

            ANSWER

            Answered 2021-Jun-01 at 17:13
            From the datetime module's documentation:

            %U: Week number of the year (Sunday as the first day of the week) as a zero padded decimal number. All days in a new year preceding the first Sunday are considered to be in week 0.

            Edit: My originals answer doesn't work for input 1/2023 and using ISO 8601 date values doesn't work for 1/2021, so I've edited this answer by adding a custom function

            Here is a way with a custom function

            Source https://stackoverflow.com/questions/67790726

            QUESTION

            What's the correct way to get websocket message do display in django template using django channels?
            Asked 2021-May-31 at 05:03

            I'm trying to display stock market data from a third party api in realtime using channels and celery. I'm using celery to get data from the api and channels to receive and send the data to the client.

            My issue is that the data isn't rendering in the template and my python and javascript aren't showing any errors so I have no idea what's wrong. Help would be appreciated.

            ignore commented out code in snippets.

            tasks.py

            ...

            ANSWER

            Answered 2021-May-31 at 05:03

            QUESTION

            Error AttributeError: 'str' object has no attribute 'year' when querying a model
            Asked 2021-May-05 at 17:09

            I get startdate and enddate, but they are passed as a string. How do I convert them to a date?

            ...

            ANSWER

            Answered 2021-May-05 at 17:09

            startdate and enddate are strings, not datetime objects. You need to parse these, so something like:

            Source https://stackoverflow.com/questions/67405729

            QUESTION

            ARIMA forecast gives different results with new python statsmodels
            Asked 2021-Apr-29 at 15:14

            I'm (out-of-sample) forecasting with ARIMA(0,1,0).

            In python's statsmodels latest stable version 0.12. I calculate:

            ...

            ANSWER

            Answered 2021-Mar-16 at 12:44

            The difference is due to whether the models include a "constant" term or not. For the first case i.e. older statsmodels.tsa.arima_model.ARIMA, it automatically includes a constant term (and no option to turn on/off). If you have a differencing, it also includes it but does so in the differenced domain (otherwise it would be eliminated anyway). So here is its ARIMA(0, 1, 0) model:

            Source https://stackoverflow.com/questions/66651360

            QUESTION

            What is the difference between "batch size in tf.keras.preprocessing.timeseries_dataset_from_array" and "batch size in model.fit"?
            Asked 2021-Apr-28 at 02:54

            As you can see from this tutorial (https://www.tensorflow.org/tutorials/structured_data/time_series) I'm working on prediction of time series.

            I would like to ask the differences between batch size in tf.keras.preprocessing.timeseries_dataset_from_array as in Section 4 in the tutorial and batch size in model.fit. If these two arguments are the same, then what happens if I also write batch size in model.fit ?

            Thank you.

            ...

            ANSWER

            Answered 2021-Apr-28 at 02:54

            From the documentation on model.fit located here.

            Source https://stackoverflow.com/questions/67287240

            QUESTION

            ts() function in R with daily observations
            Asked 2021-Apr-17 at 11:52

            I have daily data from 01/01/2019 to 31/05/2019, which I want to transform into a time series. Using the ts() function in R, I have set the start parameter as c(2019,1,1) the end parameter as c(2019,5,31) and the frequency as 7, as seen below.

            ...

            ANSWER

            Answered 2021-Apr-17 at 11:52

            It will probably be easier with xts, see

            Source https://stackoverflow.com/questions/67137520

            QUESTION

            HightCharts Renko chart disapear after zoom
            Asked 2021-Apr-14 at 09:32

            I used this example in the HightCharts library to make a Renko chart, Everything works fine with this example. But when I use my own data to show a chart It works fine but when I zoom the chart it disappears. I don't know what the problem the data is the same as the example.

            The example with my data https://jsfiddle.net/aypx6nfo/

            Before zoom.

            After zoom

            MY CODES

            ...

            ANSWER

            Answered 2021-Apr-14 at 09:32

            You need to use timestamps in milliseconds as x values and sort your data.

            Source https://stackoverflow.com/questions/67086566

            QUESTION

            Is there a way to display a fan chart in PowerBI?
            Asked 2021-Apr-12 at 16:13

            I have the results of a Monte Carlo simulation over 1000 paths along a time series (100 years). I would like to display this in PowerBI as a fan chart. The Line chart visual cannot be used for this, as it is limited to 33 legend items (i.e., 33 paths, in my case). I have tried to use a filter on paths by only displaying the top N paths and the bottom N paths, but the Line chart visual does not allow for both applying a top and and bottom filter.

            Is there a PowerBI visual which can achieve what I want?

            ...

            ANSWER

            Answered 2021-Apr-12 at 16:13

            This might not be exactly what you want but I've approached this sort of thing by defining measures for different percentiles or standard deviations similar in concept to this chart:

            You can either define the measures separately and not use the Legend field or else create a parameter table for the various percentiles / standard deviations with a measure that reads in that parameter.

            Source https://stackoverflow.com/questions/67061427

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install time_series

            You can download it from GitHub.

            Support

            Any questions about Boost.Time_series should be sent to eniebler - at - boost - dot - org. Last Modified: February 3, 2009.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/ericniebler/time_series.git

          • CLI

            gh repo clone ericniebler/time_series

          • sshUrl

            git@github.com:ericniebler/time_series.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular Date Time Utils Libraries

            moment

            by moment

            dayjs

            by iamkun

            date-fns

            by date-fns

            Carbon

            by briannesbitt

            flatpickr

            by flatpickr

            Try Top Libraries by ericniebler

            range-v3

            by ericnieblerC++

            meta

            by ericnieblerC++

            fpxx

            by ericnieblerC++

            proto-0x

            by ericnieblerC++

            coronet

            by ericnieblerC++