agge | 2D graphics engine | Graphics library

by tyoma C++ Version: v0.3 License: MIT

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

kandi X-RAY | agge Summary

agge is a C++ library typically used in User Interface, Graphics applications. agge has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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Support

agge has a low active ecosystem.

It has 99 star(s) with 13 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 6 have been closed. On average issues are closed in 28 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of agge is v0.3

Quality

agge has 0 bugs and 0 code smells.

Security

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

agge code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

agge 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

agge releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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agge Key Features

No Key Features are available at this moment for agge.

agge Examples and Code Snippets

No Code Snippets are available at this moment for agge.

Community Discussions

Trending Discussions on agge

Elastisearch : bool with regexp, filter and aggs

DataError: No numeric types to aggregate pandas pivot

What is the best way to fill missing info on all columns with Null\0 for missing records in Spark dataframe while groupby?

Problems Removing Duplicated Words from Pandas Row

Groupby aggregate and transpose in pandas

Pandas: Apply rolling window on complex function (Hurst Exponent)

Pandas groupby with a custom function for a large dataset and a large number of groups

Create the Elastic search query to show Random 5 Questions by category

Streaming data to delta table with saving the latest values

Want to get distinct records in hits section from elasticsearch

QUESTION

Elastisearch : bool with regexp, filter and aggs

Asked 2022-Mar-28 at 13:14

I am completely new to AWS ElastiSearch and am trying to do something on a dataset about tagged movies. The dataset has five columns : genres, movieId, tag, title, userId. The year of each movie is contained in the title like so Waterworld (1995). I want to see how many movies with the tag true story were produced in 2002. Since I first have to match the date, then filter with the tag and finally count the movies I tried doing it with a bool like so:

...

ANSWER

Answered 2022-Mar-28 at 13:14

aggs can't be inside the query block, aggs and query are siblings, you correct query should be like below

Source https://stackoverflow.com/questions/71646351

QUESTION

DataError: No numeric types to aggregate pandas pivot

Asked 2022-Mar-21 at 15:56

I have a pandas dataframe like this:

...

ANSWER

Answered 2022-Mar-21 at 15:56

The Pandas Documentation states:

While pivot() provides general purpose pivoting with various data types (strings, numerics, etc.), pandas also provides pivot_table() for pivoting with aggregation of numeric data

Make sure the column is numeric. Without seeing how you create trainingtaken I can't provide more specific guidance. However the following may help:

Make sure you handle "empty" values in that column. The Pandas guide is a very good place to start. Pandas points out that "a column of integers with even one missing values is cast to floating-point dtype".
If working with a dataframe, the column can be cast to a specific type via your_df.your_col.astype(int) or for your example, pd.trainingtaken.astype(int)

Source https://stackoverflow.com/questions/71559906

QUESTION

What is the best way to fill missing info on all columns with Null\0 for missing records in Spark dataframe while groupby?

Asked 2021-Nov-15 at 12:38

Let's say I have the following Spark frame:

...

ANSWER

Answered 2021-Nov-14 at 13:03

Here's is one way of doing:

First, generate new dataframe all_dates_df that contains the sequence of the dates from min to max date in your grouped df. For this you can use sequence function:

Source https://stackoverflow.com/questions/69900563

QUESTION

Problems Removing Duplicated Words from Pandas Row

Asked 2021-Nov-10 at 22:50

I am working on an NLP assignment and having some problems removing duplicated strings from a pandas column.

The data I am using is tagged, so some of the rows of data were repeated because the same comment could have multiple tags. So what I did was group the data by ID and Comment and aggregated based on tags, like so:

...

ANSWER

Answered 2021-Nov-10 at 19:32

Is this what you want?

Source https://stackoverflow.com/questions/69919123

QUESTION

Groupby aggregate and transpose in pandas

Asked 2021-Apr-15 at 23:55

df=

...

ANSWER

Answered 2021-Apr-15 at 23:55

Can be done in one line but it's a bit of a mouthful...

Source https://stackoverflow.com/questions/67117077

QUESTION

Pandas: Apply rolling window on complex function (Hurst Exponent)

Asked 2021-Feb-15 at 21:21

In a nutshell: I need to calculate the Hurst Exponent (HE) across a rolling window inside a pandas dataframe and assign the values to its own column.

The HE function I use was lifted from here as it seemed more robust. For convenience it's posted below:

...

ANSWER

Answered 2021-Feb-15 at 21:21

I think your problem is that your window is too short. It says in the docstring that the window length has to be 100+ elements, and the Hurst code isn't handling it properly, resulting in a failure of the SVD.

Separately, your test is actually slicing everything but the last 20 elements, so is actually a long array, which is why it didn't fail:

Source https://stackoverflow.com/questions/66209901

QUESTION

Pandas groupby with a custom function for a large dataset and a large number of groups

Asked 2021-Jan-13 at 16:01

I wrote the function to calculate the values of the linear regression based on scipy.stats.linregress. But when I apply it to my dataset, the code runs for a long time, about 30 minutes. Is there any way to speed up the process? The dataset contains about 9 million rows and about 100 thousand groups. This function should be applied to 10 columns.

...

ANSWER

Answered 2021-Jan-13 at 16:01

The general method is to skip useless lines.

x = x does not do anything, so better have this:

Source https://stackoverflow.com/questions/65703803

QUESTION

Create the Elastic search query to show Random 5 Questions by category

Asked 2021-Jan-04 at 16:33

I Have fields Category & Questions in the Table.

My Requirement is for the below mentioned 3 category against I need the questions which is tagged (SO I want the Category and Questions field in the query) by writing elastic search query

Category :

OLA

BNA

DRG

GET logstash-sdc-feedback/_search? { "_source":["Category.keyword"], "size": 5, "query":{ "bool": { "must": [ {"match":{"Category.keyword"": "OLA","BNA","DRG"}}

} }, "aggs": { "MyBuckets": { "terms": { "field": "questions.keyword","Category.keyword" "order":{ "_count": "asc" }, "size": "5"

} } } }

...

ANSWER

Answered 2021-Jan-04 at 16:33

You can use terms query along with terms aggregation, to achieve your use case.

Adding a working example

Index Data:

Source https://stackoverflow.com/questions/65566020

QUESTION

Streaming data to delta table with saving the latest values

Asked 2020-Nov-11 at 09:52

I'm streaming some temperature data to Databricks from an Azure Event Hub, and looking to store the latest values in a delta table. For the temperature values for each sensor, I'm taking the max value of the last five minutes. I seem to be hitting a block with the 'upsert' to the delta table. Data is coming every 10-15 seconds for each device. I'm not sure if I'm using the writeStream correctly or may have to use a window function over the data frame to insert the latest aggerated value.

So far I have created a basic example in pysprak to see if it can be done

...

ANSWER

Answered 2020-Nov-10 at 22:02

I think you forgot to give t as alias for your latestSensorReadings table. Could you try:

Source https://stackoverflow.com/questions/64759423

QUESTION

Want to get distinct records in hits section from elasticsearch

Asked 2020-Sep-24 at 19:53

I want to get all the distinct records as per "departmentNo" . Please check the below Index Data : (it is dummy data.)

...

ANSWER

Answered 2020-Sep-24 at 19:53

You can do that by using field collapsing:

Source https://stackoverflow.com/questions/64045902

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Vulnerabilities

No vulnerabilities reported

Install agge

You can download it from GitHub.

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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