Zdiv's Software Snippet: 6월 2018

2018년 6월 27일 수요일

[Java] HTTP Server Examples

Download:

jetty-distribution-9.4.11.v20180605.zip

jetty-http-9.4.11.v20180605.jar
jetty-io-9.4.11.v20180605.jar
jetty-server-9.4.11.v20180605.jar
jetty-servlet-9.4.11.v20180605.jar
jetty-util-9.4.11.v20180605.jar
servlet-api-3.1.jar

1. Simple HTTP File Server

package web;

import org.eclipse.jetty.server.Handler;
import org.eclipse.jetty.server.Server;
import org.eclipse.jetty.server.handler.DefaultHandler;
import org.eclipse.jetty.server.handler.HandlerList;
import org.eclipse.jetty.server.handler.ResourceHandler;

public class HttpServer {

    Server server;

    public HttpServer() throws Exception {
    }
        
    void stop() throws Exception {
        server.stop();
    }

    void startDirList() throws Exception {
        server = new Server(8070);
        ResourceHandler resource_handler = new ResourceHandler();
        resource_handler.setDirectoriesListed(true);
        resource_handler.setWelcomeFiles(new String[]{ "index.html" });
        resource_handler.setResourceBase("D:\\");

        HandlerList handlers = new HandlerList();
        handlers.setHandlers(new Handler[] { resource_handler, new DefaultHandler() });
        server.setHandler(handlers);

        server.start();
        server.join();
    }

    public static void testDirList() throws Exception {
        HttpServer http = new HttpServer();
        new Thread( () -> {
            for( int i = 0; i < 10; i++ ) {
                try {
                    Thread.sleep(1000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
            try {
                http.stop();
            } catch (Exception e) {
                e.printStackTrace();
            }
        }).start();
        http.startDirList();        
    }    

    public static void main( String[] args ) throws Exception {
        testDirList();
    }
}

2. HTTP Server with Handler

package web;

import java.io.IOException;

import javax.servlet.ServletException;
import javax.servlet.http.HttpServlet;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

import org.eclipse.jetty.server.Server;
import org.eclipse.jetty.servlet.ServletHandler;

public class HttpServer {

    Server server;

    public HttpServer() throws Exception {
    }
        
    void stop() throws Exception {
        server.stop();
    }

    @SuppressWarnings("serial")
    public static class HelloServlet extends HttpServlet {
        @Override
        protected void doGet( HttpServletRequest request, HttpServletResponse response ) throws ServletException, IOException {
            response.setContentType("text/html");
            response.setStatus(HttpServletResponse.SC_OK);
            response.getWriter().println("<h1>Hello from HelloServlet</h1>");
        }
    }
    
    void startServlet() throws Exception {
        Server server = new Server(8080);
        ServletHandler handler = new ServletHandler();
        server.setHandler(handler);
        handler.addServletWithMapping(HelloServlet.class, "/*");

        server.start();
        server.join();
    }

    public static void testServlet() throws Exception {
        HttpServer http = new HttpServer();
        http.startServlet();        
    }    

    public static void main( String[] args ) throws Exception {
        testServlet();
    }
}

2018년 6월 26일 화요일

[Python] Matplotlib

1. Plot Examples

#import matplotlib.pyplot as plt
#plt.show()
#plt.savefig('a.png')

def line_plot():
 from numpy import sin
 from matplotlib import pyplot
 x = [x*0.1 for x in range(100)]
 y = sin(x)
 pyplot.plot(x, y)
 pyplot.show()

def bar_chart():
 from random import seed
 from random import randint
 from matplotlib import pyplot
 seed(1)
 x = ['red', 'green', 'blue']
 y = [randint(0, 100), randint(0, 100), randint(0, 100)]
 pyplot.bar(x, y)
 pyplot.show()

def histogram_plot():
 from numpy.random import seed
 from numpy.random import randn
 from matplotlib import pyplot
 seed(1)
 x = randn(1000)
 pyplot.hist(x) #, bins=100)
 pyplot.show()

def scatter_plot():
 from numpy.random import seed
 from numpy.random import randn
 from matplotlib import pyplot
 seed(1)
 x = 20 * randn(1000) + 100
 y = x + (10 * randn(1000) + 50)
 pyplot.scatter(x, y)
 pyplot.show()

def box_whisker_plot(): 
 from numpy.random import seed
 from numpy.random import randn
 from matplotlib import pyplot
 seed(1)
 x = [randn(1000), 5 * randn(1000), 10 * randn(1000)]
 pyplot.boxplot(x)
 pyplot.show()

def pandas_plot():
 import matplotlib.pyplot as plt
 import pandas
 url = "https://raw.githubusercontent.com/jbrownlee/Datasets/master/pima-indians-diabetes.data.csv"
 names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']
 data = pandas.read_csv(url, names=names)
 data.hist()
 plt.show()
 data.plot(kind='density', subplots=True, layout=(3,3), sharex=False)
 plt.show()
 data.plot(kind='box', subplots=True, layout=(3,3), sharex=False, sharey=False)
 plt.show() 
 data1 = data[data.columns[2:4]]
 data1.plot()
 plt.show()
 data1.plot(kind='density')
 plt.show()
 data1 = data.loc[:,'pres':'mass']
 data1.plot(kind='density')
 plt.show()

def pandas_random():
 import pandas as pd
 import numpy as np
 np.random.seed(5)
 df = pd.DataFrame(np.random.randint(100, size=(100, 6)), 
       columns=list('ABCDEF'), 
       index=['R{}'.format(i) for i in range(100)])
 print(df)
 print(df.head())
 print(df[['C','E']].head())
 print(df[df.columns[2:4]].head())
 print(df.loc[:,df.columns.isin(list('ACE'))].head())
 print(df.loc['R6':'R10','C':'E'])
 print(df.iloc[2:6,2:5])
 print(df.iloc[0:6,0:2].copy())
 print(pd.DataFrame(df,columns=['B','E']).head())
 print(df.drop(['A','C'],axis=1).head())

def time_series_line_plot():
 from pandas import Series
 from matplotlib import pyplot
 series = Series.from_csv('daily-minimum-temperatures-in-me.csv', header=0)
 print(series.head())
 #series = series.astype(float)
 series.plot()
 pyplot.show()
 
def time_series_group_line_plot():
 from pandas import DataFrame
 from pandas import TimeGrouper
 from pandas import Series
 from matplotlib import pyplot
 series = Series.from_csv('daily-minimum-temperatures-in-me.csv', header=0)
 groups = series.groupby(TimeGrouper('A'))
 years = DataFrame()
 for name, group in groups:
  years[name.year] = group.values
 years.plot(subplots=True, legend=False)
 pyplot.show()
 
if __name__ == "__main__":
 #line_plot()
 #bar_chart()
 #histogram_plot()
 #scatter_plot()
 #box_whisker_plot()
 #time_series_line_plot()
 #time_series_group_line_plot()
 #pandas_plot()
 pandas_random()

[Python] pip install

1. pip install in proxy environment (pip_install.bat)

python -m pip install --proxy=192.168.0.1:8080 \
  --trusted-host pypi.org \ 
  --trusted-host pypi.python.org \
  --trusted-host files.pythonhosted.org %1

2. environment variables (env.bat)

rem PROMPT=$P$G
rem @set PATH=%~dp0bin;
@echo.
@echo Setting up environment for using MinGW with GCC from %~dp0.

@set BUILD_HOME=C:\Dev
@set PYTHONHOME=%BUILD_HOME%\Anaconda3
@set PYTHONPATH=%PYTHONHOME%\Lib
@set MINGW_HOME=%BUILD_HOME%\mingw32
@set JAVA_HOME=%BUILD_HOME%\jdk1.8.0_152
@set GROOVY_HOME=%BUILD_HOME%\groovy-3.0.0
@set GRAPHVIZ_HOME=%BUILD_HOME%\graphviz-2.38

@set PATH=%MINGW_HOME%/bin;%PATH%
@set PATH=%PYTHONHOME%;%PYTHONHOME%\Scripts;%PATH%
@set PATH=%JAVA_HOME%/bin;%PATH%
@set PATH=%GROOVY_HOME%/bin;%PATH%
@set PATH=%GRAPHVIZ_HOME%/bin;%PATH%
cmd.exe

3. spyder

runspyder.py

from spyder.app import start
start.main()

runspyder.bat

@echo off
@set BUILD_HOME=C:\ProgramData
@set PYTHONHOME=%BUILD_HOME%\Anaconda3
@set PYTHONPATH=%PYTHONHOME%\Lib
@set PATH=%PYTHONHOME%;%PYTHONHOME%\Scripts;%PATH%
@start python runspyder.py

2018년 6월 17일 일요일

[Python] Pandas

import pandas

1. Load DataFrame from CSV File without header

names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']
dataframe = pandas.read_csv(url, names=names)
array = dataframe.values
X = array[:,0:len(array[0])-1]
Y = array[:,len(array[0])-1]

2. Load DataFrame from CSV File with header

dataframe = pandas.read_csv(url)
array = dataframe.values
X = array[:,0:len(array[0])-1]
Y = array[:,len(array[0])-1]

3 Make Dataframe with Random Numbers

1
2
3

df = pd.DataFrame(np.random.randint(100, size=(100, 6)),
 columns=list('ABCDEF'),
 index=['R{}'.format(i) for i in range(100)])

4. Data Handling with Pandas

print(df)
print(df.head())
print(df[['C','E']].head())
print(df[df.columns[2:4]].head())
print(df.loc[:,df.columns.isin(list('ACE'))].head())
print(df.loc['R6':'R10','C':'E'])
print(df.iloc[2:6,2:5])
print(df.iloc[0:6,0:2].copy())
print(pd.DataFrame(df,columns=['B','E']).head())
print(df.drop(['A','C'],axis=1).head())

5 Save DataFrame to CSV File (1)

1	df.to_csv(output_file_path, sep=',', index=False)

6. Save DataFrame to CSV File (2)

with open(out_file, 'w', newline='\n' ) as csv_file: #windows only(newline='\n')
 w = csv.writer( csv_file ) #, quoting=csv.QUOTE_ALL) #lineterminator='\n'
 w.writerow(titles)
 for line in lines:
  w.writerow(line)

Zdiv's Software Snippet

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