BufferedReader in = new BufferedReader(new FileReader(inFile));

while (null != (line = in.readLine())) {


}

我想在第一行和最后一行单独进行一些验证.有没有
检查它是否是while循环中的第一行和最后一行

while (null != (line = in.readLine())) {    

    if(firstlineoffile) {
    }

    else if (lastlineoffile) {
    }

    else
    {
    }

}

package com.stackoverflow.q2292917;

import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.io.PrintWriter;

public class Test {

    public static void main(String... args) throws IOException {
        // Create test file.
        File file = new File("/test.txt");
        PrintWriter writer = new PrintWriter(file);
        writer.println("line 1");
        writer.println("line 2");
        writer.println("line 3");
        writer.println("line 4");
        writer.println("line 5");
        writer.close();

        // Read test file.
        BufferedReader reader = null;
        try {
            reader = new BufferedReader(new FileReader(file));
            String next,line = reader.readLine();
            for (boolean first = true,last = (line == null); !last; first = false,line = next) {
                last = ((next = reader.readLine()) == null);

                if (first) {
                    System.out.println("first line: " + line);
                } else if (last) {
                    System.out.println("last line: " + line);
                } else {
                    System.out.println("normal line: " + line);
                }
            }
        } finally {
            if (reader != null) try { reader.close(); } catch (IOException logorIgnore) {}
        }

        // Delete test file.
        file.delete();
    }

}

输出：

first line: line 1
normal line: line 2
normal line: line 3
normal line: line 4
last line: line 5

但是,我对初学者的可读性和可解释性提出质疑…;)

回归图绘制 Regression plots

g = seaborn.factorplot("project_code",y="num_mutations",hue="organ",data=grouped_donor,kind="Box",aspect=3)

如果我放大或者将图形拉伸几倍于我的屏幕宽度,我可以看到这些框,但显然这不是一个标准图形.

这似乎是我的数据量的函数;如果我只绘制前500点(6000点),我会得到可见但小的盒子.它可能特别是我的数据的高差异的函数;根据matplotlib Boxplot文档,

The default [width] is 0.5,or 0.15x(distance between extreme positions) if that is smaller.

无论是什么原因,如果我可以加宽它们,那么图表本身就有足够的空间用于更宽的盒子.

不幸的是,控制框宽度的Boxplot关键字宽度不是有效的factorplot关键字,我找不到matplotlib函数,它会改变绘图函数本身之外的条形图或框的宽度.我甚至找不到任何人讨论这件事;我找到的最接近的是Boxplot线宽.有什么建议？

import matplotlib.pylab as pyp
import seaborn as sns

def custom_legend(colors,labels,legend_location = 'upper left',legend_boundary = (1,1)):
    # Create custom legend for colors
    recs = []
    for i in range(0,len(colors)):
        recs.append(mpatches.Rectangle((0,0),1,fc=colors[i]))
    pyp.legend(recs,loc=legend_location,bBox_to_anchor=legend_boundary)

# Color Boxplots by organ
organ_list = sorted(df_unique(grouped_samples,'type'))
colors = sns.color_palette("Paired",len(organ_list))
color_dict = dict(zip(organ_list,colors))
organ_palette = grouped_samples.drop_duplicates('id')['type'].map(color_dict)

# Plot grouped Boxplot
g = sns.factorplot("id","num_mutations",data=grouped_samples,order=id_list,size=7,aspect=3,palette=organ_palette)
sns.despine(left=True)
plot_setup_pre()
pyp.yscale('log')
custom_legend(colors,organ_list)