time_series | Data package : time series of load , wind and solar generation | Dataset library

by Open-Power-System-Data Python Version: 2020-10-06 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | time_series Summary

time_series is a Python library typically used in Artificial Intelligence, Dataset, Grafana applications. time_series has no vulnerabilities, it has a Permissive License and it has low support. However time_series has 2 bugs and it build file is not available. You can download it from GitHub.

Data package: time series of load, wind and solar generation

Support

Quality

Security

License

Reuse

Support

time_series has a low active ecosystem.

It has 108 star(s) with 36 fork(s). There are 25 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 11 have been closed. On average issues are closed in 325 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of time_series is 2020-10-06

Quality

time_series has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 51 code smells.

Security

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

time_series code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

time_series is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

time_series releases are available to install and integrate.

time_series has no build file. You will be need to create the build yourself to build the component from source.

time_series saves you 789 person hours of effort in developing the same functionality from scratch.

It has 1815 lines of code, 72 functions and 7 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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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

Trending Discussions on time_series

How get consecutives weeks in a group in df python?

Multiple dates rows to turn in 2 columns in a df with a interval start date and end date

First week of year considering the first day last year

What's the correct way to get websocket message do display in django template using django channels?

Error AttributeError: 'str' object has no attribute 'year' when querying a model

ARIMA forecast gives different results with new python statsmodels

What is the difference between "batch size in tf.keras.preprocessing.timeseries_dataset_from_array" and "batch size in model.fit"?

ts() function in R with daily observations

HightCharts Renko chart disapear after zoom

Is there a way to display a fan chart in PowerBI?

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

You can try:

Source https://stackoverflow.com/questions/67775964

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

This was my mistake.

Source https://stackoverflow.com/questions/67733092

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.
You can use time_series 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

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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