mean

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: What is pivot? How do I pivot? Is this a pivot? Long format to wide format? I've seen a lot of questions that ask about pivot tables. Even if they don't know that they are asking about pivot tables, they usually are. It is virtually impossible to write a canonical question and answer that encompasses all aspects of pivoting.... ... But I'm going to give it a go. The problem with existing questions and answers is that often the question is focused on a nuance that the OP has trouble generalizing in order to use a number of the existing good

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have the following data frame: test2 and I am plotting the bar graphs for each label per group using: ggplot(test2, aes(label, X2, fill=as.factor(groups))) + geom_bar(position="dodge", stat="identity") However, I am cannot seem to be able to find a stat="mean" so I can plot the means on each bar graph instead of the identity. Thanks for any help. 回答1: simply use stat = "summary" and fun.y = "mean" ggplot(test2) + geom_bar(aes(label, X2, fill = as.factor(groups)), position = "dodge", stat = "summary", fun.y = "mean") 回答2: ggplot2 likes 1

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Virtual memory from a computer size perspective is [a way to make the program] think it has a large range of contiguous addresses; but in reality the parts it is currently using are scattered around RAM, and the inactive parts are saved in a disk file. ( Wikipedia ) I would interpret VM Size in the Windows Task manager as either the total addressable virtual memory space or the amount of memory the process is currently using in the virtual memory space. But in the Task Manager the WM Size is in many cases less than Mem Usage, which should be

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have the following source: int main() { 000J; } With gcc 4.8.4 it compiles without errors. I know there are suffixes like L or U, but I didn't find anything about J. So what does it do? 回答1: I get a warning: Imaginary constants are a GNU extension The J suffix is a GNU extension, which causes the literal to be of a _Complex type. More info here: https://gcc.gnu.org/onlinedocs/gcc/Complex.html 回答2: As zenith mentioned, this is a GNU extension for writing imaginary literals. I really want to comment on the rationale of using j for this

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: This question already has an answer here: Reference - What does this regex mean? 1 answer I am new to Python and I am trying to understand this regex: pattern = r"^[A-Z0-9._%+-]+@[A-Z0-9.-]{2,200}$" What does %+- and .- mean? 回答1: [%+-] means match either % , + , or - . Why we don't use escape character \ ? because they are in side [] [.-] means match either . or - Why we don't use escape character \ ? because they are in side [] , Furthermore - can also mean a range if between a range characters like [A-Z] or [0-9] in other case it is

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: What does the "SHORT" mean in this code? JE SHORT 00013FB8 回答1: Short jumps (and near calls) are jumps whos target is in the same module(they are intramodular, however it is possible to get intermodular variants from certain hacks), they are most commonly up to 127 bytes of relative displacement(they change the flow of execution forward or backward from the address of the instruction), however there are 16bit variants offering 32k bytes. You don't really need to worry about it much, its really superfluos information, but the intel developer

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Given the following shell script, would someone be so kind as to explain the grep -Po regex please? #!/bin/bash # Issue the request for a bearer token, json is returned raw_json=`curl -s -X POST -d "username=name&password=secret&client_id=security-admin-console" http://localhost:8081/auth/realms/master/tokens/grants/access` # Strip away all but the "access_token" field's value using a Python regular expression bearerToken=`echo $raw_json | grep -Po '"'"access_token"'"\s*:\s*"\K([^"]*)'` echo "The bearer token is:" echo $bearerToken So

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Say I construct two numpy arrays: a = np.array([np.NaN, np.NaN]) b = np.array([np.NaN, np.NaN, 3]) Now I find that np.mean returns nan for both a and b : >>> np.mean(a) nan >>> np.mean(b) nan Since numpy 1.8 (released 20 April 2016), we've been blessed with nanmean , which ignores nan values: >>> np.nanmean(b) 3.0 However, when the array has nothing but nan values, it raises a warning: >>> np.nanmean(a) nan C:\python-3.4.3\lib\site-packages\numpy\lib\nanfunctions.py:598: RuntimeWarning: Mean of empty slice warnings.warn("Mean of empty slice"

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Say I construct two numpy arrays: a = np.array([np.NaN, np.NaN]) b = np.array([np.NaN, np.NaN, 3]) Now I find that np.mean returns nan for both a and b : >>> np.mean(a) nan >>> np.mean(b) nan Since numpy 1.8 (released 20 April 2016), we've been blessed with nanmean , which ignores nan values: >>> np.nanmean(b) 3.0 However, when the array has nothing but nan values, it raises a warning: >>> np.nanmean(a) nan C:\python-3.4.3\lib\site-packages\numpy\lib\nanfunctions.py:598: RuntimeWarning: Mean of empty slice warnings.warn("Mean of empty slice"

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I'm deploying an app for the first time and I have deployed my MEAN App on AWS using Elastic Beanstalk but I haven't used the terminal to do so. Now, I want to connect MongoDB with my deployed app. Probably we need to connect to dynamoDB for Mongo database in AWS. Right? And I would also like to know if I can use mlab database here instead? 转载请标明出处: How to connect mongoDB to MEAN app deployed in AWS on Elastic Beanstalk? 文章来源: How to connect mongoDB to MEAN app deployed in AWS on Elastic Beanstalk?