这是一个简单的代码,就像在这个链接中读取python中的arff文件一样(注释的文件也不起作用):
import arff
for row in arff.load('heart_train.arff'):
print(row.sex)
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这是我收到的错误:
python id3.py
Traceback (most recent call last):
File "id3.py", line 1, in <module>
import arff
ImportError: No module named arff
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"heart_train"arff文件数据如下:
@relation cleveland-14-heart-disease
@attribute 'age' real
@attribute 'sex' { female, male}
@attribute 'cp' { typ_angina, asympt, non_anginal, atyp_angina}
@attribute 'trestbps' real
@attribute 'chol' real
@attribute 'fbs' { t, f}
@attribute 'restecg' { left_vent_hyper, normal, st_t_wave_abnormality}
@attribute 'thalach' real
@attribute 'exang' { no, yes}
@attribute 'oldpeak' real
@attribute 'slope' { …Run Code Online (Sandbox Code Playgroud) 我试图找到列中以及整个数据帧内的NAs百分比:
我评论的第一种方法给了我零,而没有评论的第二种方法给了我一个矩阵.不确定我错过了什么.真的很感激任何提示!
cp.2006<-read.csv(file="cp2006.csv",head=TRUE)
#countNAs <- function(x) {
# sum(is.na(x))
#}
#total=0
#for (i in col(cp.2006)) {
# total=countNAs(i)+total
#}
#print(total)
count<-apply(cp.2006, 1, function(x) sum(is.na(x)))
dims<-dim(cp.2006)
num<-dims[1]*dims[2]
NApercentage<-(count/num) * 100
print(NApercentage)
Run Code Online (Sandbox Code Playgroud) 我不知道如何消除这个错误。我正在使用“bitbucket”私下上传我的项目,但即使我已删除所有更改的文件,我仍收到以下错误。我只是想拉取文件
error: Your local changes to the following files would be overwritten by merge:
buf.cpp
buf.h
Please, commit your changes or stash them before you can merge.
Aborting
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这是我使用的命令:
git pull origin
Run Code Online (Sandbox Code Playgroud) 我按照Shinyapps.io 中显示的相同命令上传我的应用程序,但出现以下错误:
> library(shinyapps)
> shinyapps::deployApp("/Users/mona/CS764/demo")
Error in lint(appDir) : Cancelling deployment: invalid project layout.
The project should have one of the following layouts:
1. 'shiny.R' and 'ui.R' in the application base directory,
2. 'shiny.R' and 'www/index.html' in the application base directory,
3. An R Markdown (.Rmd) document.
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这是我的文件的结构:

当我输入这个命令时:
cd /Users/mona/ros_catkin_ws/build_isolated/pcl_ros && /Users/mona/ros_catkin_ws/install_isolated/env.sh cmake /Users/mona/ros_catkin_ws/src/perception_pcl/pcl_ros -DCATKIN_DEVEL_PREFIX=/Users/mona/ros_catkin_ws/devel_isolated/pcl_ros -DCMAKE_INSTALL_PREFIX=/Users/mona/ros_catkin_ws/install_isolated -DCMAKE_BUILD_TYPE=Release -G 'Unix Makefiles'
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我收到此错误:
-- Boost version: 1.58.0
-- Found the following Boost libraries:
-- system
-- filesystem
-- thread
CMake Error at CMakeLists.txt:7 (find_package):
By not providing "FindEigen3.cmake" in CMAKE_MODULE_PATH this project has
asked CMake to find a package configuration file provided by "Eigen3", but
CMake did not find one.
Could not find a package configuration file provided by "Eigen3" with any
of the following names:
Eigen3Config.cmake
eigen3-config.cmake
Add …Run Code Online (Sandbox Code Playgroud) 我想设计一个彩票调度器,我需要一个非常好的(伪)随机数发生器,类似于LCG,但我想知道是否还有其他更好的选择?我特意寻找用C语言编写的随机生成器.
LCG代码:
unsigned long lcg_rand(unsigned long a)
{
return (a * 279470273UL) % 4294967291UL;
}
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另外我想知道是否srand()可以用于此目的或不是非常准确?
如果一个字符串命中https(没有空格)怎么能把它分成两个单词呢?例如,Join us!https://t.co/Fe0oTahdom想要使它像Join us!和https://t.co/Fe0oTahdom
因此,当我检查freqMap1.values()和freqMap2.values()具有相同的值但是当我用.equals检查它时,它返回false.我很困惑如何解决这个问题:
/**
* Created by mona on 5/26/16.
*/
import java.util.*;
public class IsomorphicStrings {
//the words "abca" and "zbxz" are isomorphic
public static boolean areIsomorphic(String s1, String s2) {
Map<Character, ArrayList<Integer>> freqMap1 = new LinkedHashMap<>();
Map<Character, ArrayList<Integer>> freqMap2 = new LinkedHashMap<>();
for (int i=0; i<s1.length(); i++) {
if (freqMap1.containsKey(s1.charAt(i))) {
freqMap1.get(s1.charAt(i)).add(i);
} else {
freqMap1.put(s1.charAt(i), new ArrayList<>(Arrays.asList(i)));
}
}
for (int i=0; i<s2.length(); i++) {
if (freqMap2.containsKey(s2.charAt(i))) {
freqMap2.get(s2.charAt(i)).add(i);
} else {
freqMap2.put(s2.charAt(i), new ArrayList<>(Arrays.asList(i)));
}
}
System.out.println(freqMap1.values());
System.out.println(freqMap2.values()); …Run Code Online (Sandbox Code Playgroud) 我怎样才能解决这个问题?
(cv) jalal@klein:~/computer_vision/py-faster-rcnn/lib$ make
python setup.py build_ext --inplace
Traceback (most recent call last):
File "setup.py", line 58, in <module>
CUDA = locate_cuda()
File "setup.py", line 55, in locate_cuda
raise EnvironmentError('The CUDA %s path could not be located in %s' % (k, v))
OSError: The CUDA lib64 path could not be located in /usr/lib64
Makefile:2: recipe for target 'all' failed
make: *** [all] Error 1
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我在Jupyter中遇到了用于上传文件的代码段,但是我不知道如何在执行代码的机器上保存该文件,或者如何显示上传文件的前5行。基本上,我正在寻找上传文件后访问该文件的正确命令:
import io
from IPython.display import display
import fileupload
def _upload():
_upload_widget = fileupload.FileUploadWidget()
def _cb(change):
decoded = io.StringIO(change['owner'].data.decode('utf-8'))
filename = change['owner'].filename
print('Uploaded `{}` ({:.2f} kB)'.format(
filename, len(decoded.read()) / 2 **10))
_upload_widget.observe(_cb, names='data')
display(_upload_widget)
_upload()
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