stats | well tested and comprehensive Golang statistics | Analytics library

by montanaflynn Go Version: v0.7.1 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | stats Summary

stats is a Go library typically used in Analytics applications. stats has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub, GitLab.

A well tested and comprehensive Golang statistics library / package / module with no dependencies.

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Quality

Security

License

Reuse

Support

stats has a medium active ecosystem.

It has 2759 star(s) with 173 fork(s). There are 55 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 10 open issues and 22 have been closed. On average issues are closed in 234 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of stats is v0.7.1

Quality

stats has no bugs reported.

Security

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

License

stats 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

stats releases are available to install and integrate.

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

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stats Key Features

No Key Features are available at this moment for stats.

stats Examples and Code Snippets

Resets memory stats .

python

Lines of Code : 38

License : Non-SPDX (Apache License 2.0)

Copy

def reset_memory_stats(device):
  """Resets the tracked memory stats for the chosen device.

  This function sets the tracked peak memory for a device to the device's
  current memory usage. This allows you to measure the peak memory usage for a
  sp

Analyze step stats .

python

Lines of Code : 32

License : Non-SPDX (Apache License 2.0)

Copy

def analyze_step_stats(self,
                         show_dataflow=True,
                         show_memory=True,
                         op_time='schedule'):
    """Analyze the step stats and format it into Chrome Trace Format.

    Args:

Build the stats from a file .

java

Lines of Code : 16

License : Permissive (MIT License)

Copy

private static ProjectStats buildStats(FilePath root) throws IOException, InterruptedException {
        int classesNumber = 0;
        int linesNumber = 0;
        Stack toProcess = new Stack<>();
        toProcess.push(root);
        while (!

Community Discussions

Trending Discussions on stats

spec_tbl_df is over 10 times slower on same opperations as a normal tibble

Delete row equal to worksheet name

how to validate map items with custom key using gtest?

Forward looking average

How to set content-type in node-fetch

Rolling window calculation is added to the dataframe as a column of NaN

Proc means output statement

How to change ag-grid (JavaScript) sidebar's width?

Circular histogram with fitted Von Mises Distribution

GitHub api code_frequency what are all the return values

QUESTION

spec_tbl_df is over 10 times slower on same opperations as a normal tibble

Asked 2021-Jun-15 at 14:37

So I was really ripping my hair out why two different sessions of R with the same data were producing wildly different times to complete the same task. After a lot of restarting R, cleaning out all my variables, and really running a clean R, I found the issue: the new data structure provided by vroom and readr is, for some reason, super sluggish on my script. Of course the easiest thing to solve this is to convert your data into a tibble as soon as you load it in. Or is there some other explanation, like poor coding praxis in my functions that can explain the sluggish behavior? Or, is this a bug with recent updates of these packages? If so and if someone is more experienced with reporting bugs to tidyverse, then here is a repex showing the behavior cause I feel that this is out of my ballpark.

...

ANSWER

Answered 2021-Jun-15 at 14:37

This is the issue I had in mind. These problems have been known to happen with vroom, rather than with the spec_tbl_df class, which does not really do much.

vroom does all sorts of things to try and speed reading up; AFAIK mostly by lazy reading. That's how you get all those different components when comparing the two datasets.

With vroom:

Source https://stackoverflow.com/questions/67978477

QUESTION

Delete row equal to worksheet name

Asked 2021-Jun-15 at 04:27

I am planning to add a Delete button in each of my worksheets to allow users to delete 1 sheet at a time. But, before deleting the active worksheet (code below) I would like to, in another worksheet (Objects Stats), delete the entire row that contains the same name as the worksheet to be deleted.

Other worksheet name: Objects Stats, ‘column headers up to row 3

Worksheet name is located in column B

...

ANSWER

Answered 2021-Jun-15 at 04:27

Try this code:

Source https://stackoverflow.com/questions/67978870

QUESTION

how to validate map items with custom key using gtest?

Asked 2021-Jun-14 at 23:42

I've written a custom key for my map

...

ANSWER

Answered 2021-Jun-14 at 23:42

First issue I see here is that your operator== has no const qualifier. You need something like this:

Source https://stackoverflow.com/questions/67704150

QUESTION

Forward looking average

Asked 2021-Jun-14 at 21:35

I have a data frame and I want to take the average of three points forward.. I know how to do the min but I need the mean any ideas?

...

ANSWER

Answered 2021-Jun-14 at 21:35

You can use numpy.mean() with axis=0 on the numpy.array() consisting of the closing prices of current date plus 2 days ahead to get the mean, as follows:

Source https://stackoverflow.com/questions/67977084

QUESTION

How to set content-type in node-fetch

Asked 2021-Jun-14 at 17:05

this is my code:

...

ANSWER

Answered 2021-Jun-14 at 17:05

I think you need to stringify body object.

here is the updated code:

Source https://stackoverflow.com/questions/67973587

QUESTION

Rolling window calculation is added to the dataframe as a column of NaN

Asked 2021-Jun-14 at 15:20

I have a data frame that is indexed from 1 to 100000 and I want to calculate the slope for every 12 steps. Is there any rolling window for that?

I did the following, but it is not working. The 'slope' column is created, but all of the values as NaN.

...

ANSWER

Answered 2021-Jun-14 at 15:14

It's not necessary to use .groupby because there is only 1 record per day.
Don't use .reset_index(0, drop=True) because this is dropping the date index. When you drop the index from the calculation, it no longer matches the index of df, so the data is added as NaN.
- df['Close'].rolling(window=days_back, min_periods=days_back).apply(get_slope, raw=True) creates a pandas.Series. When assigning a pandas.Series to a pandas.DataFrame as a new column, the indices must match.

Source https://stackoverflow.com/questions/67971902

QUESTION

Proc means output statement

Asked 2021-Jun-14 at 13:02

I have a dataset with several variables like the one below:

...

ANSWER

Answered 2021-Jun-14 at 12:46

You requested SAS to name the count n, the sum sum and the mean mean. It can only do that for one variable.

This is the syntax to ask SAS to use different names for the statistics of each variable:

Source https://stackoverflow.com/questions/67969065

QUESTION

How to change ag-grid (JavaScript) sidebar's width?

Asked 2021-Jun-14 at 12:11

I need to change my ag-grid sidebar's width default to 1000px. Please check the configuration and image. Thanks

...

ANSWER

Answered 2021-Jun-14 at 12:11

Override the tool panel width with css and set the width to 1000px like so:

Source https://stackoverflow.com/questions/67968825

QUESTION

Circular histogram with fitted Von Mises Distribution

Asked 2021-Jun-13 at 15:13

For the past days I've been trying to plot circular data with python, by constructing a circular histogram ranging from 0 to 2pi and fitting a Von Mises Distribution. What I really want to achieve is this:

Directional data with fitted Von-Mises Distribution. This plot was constructed with Matplotlib, Scipy and Numpy and can be found at: http://jpktd.blogspot.com/2012/11/polar-histogram.html

This plot was produced using R, but gives the idea of what I want to plot. It can be found here: https://www.zeileis.org/news/circtree/

WHAT I HAVE DONE SO FAR:

...

ANSWER

Answered 2021-Apr-27 at 15:36

This is what I achieved:

I'm not entirely sure if you wanted x to range from [-pi,pi] or [0,2pi]. If you want the range [0,2pi] instead, just comment out the lines ax.set_xlim and ax.set_xticks.

Source https://stackoverflow.com/questions/67282865

QUESTION

GitHub api code_frequency what are all the return values

Asked 2021-Jun-13 at 14:44

Just had a basic question regarding the GitHub rest API regarding the following API call /repos/{owner}/{repo}/stats/code_frequency In the documentation Here it stats that the following API call does the following Returns a weekly aggregate of the number of additions and deletions pushed to a repository. If you see the return value below I'm assuming the second element in the list is the additions and the third element is the deletions, show what is the first element in this list?

Returns

...

ANSWER

Answered 2021-Jun-13 at 14:44

It seems the first value is the epoch time in seconds (number of seconds since 01/01/1970) (unix time / posix time)

Source https://stackoverflow.com/questions/67930800

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