stats | Go middleware that stores various information | Runtime Evironment library
kandi X-RAY | stats Summary
kandi X-RAY | stats Summary
A Go middleware that stores various information about your web application (response time, status code count, etc.)
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of stats
stats Key Features
stats Examples and Code Snippets
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
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:
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
QUESTION
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 14:37This 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:
QUESTION
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 04:27Try this code:
QUESTION
I've written a custom key for my map
...ANSWER
Answered 2021-Jun-14 at 23:42First issue I see here is that your operator==
has no const
qualifier. You need something like this:
QUESTION
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 21:35You 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:
QUESTION
this is my code:
...ANSWER
Answered 2021-Jun-14 at 17:05I think you need to stringify
body object.
here is the updated code:
QUESTION
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 ofdf
, so the data is added asNaN
.df['Close'].rolling(window=days_back, min_periods=days_back).apply(get_slope, raw=True)
creates apandas.Series
. When assigning apandas.Series
to apandas.DataFrame
as a new column, the indices must match.
QUESTION
I have a dataset with several variables like the one below:
...ANSWER
Answered 2021-Jun-14 at 12:46You 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:
QUESTION
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 12:11Override the tool panel width with css and set the width to 1000px
like so:
QUESTION
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 15:36This 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
.
QUESTION
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 14:44It seems the first value is the epoch time in seconds (number of seconds since 01/01/1970) (unix time / posix time)
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