作者:乔山办公网日期:
返回目录:excel表格制作
简要介绍了开放源码项目Java Excel API,结合示例,详细叙述了有关Excel文件的读取方法,最后给出了一个例程及其运行结果.
1.读取Excel(需要安装xlrd):
#-*- coding: utf8 -*-import xlrd fname = "reflect.xls"bk = xlrd.open_workbook(fname)shxrange = range(bk.nsheets)try: sh = bk.sheet_by_name("Sheet1")except: print "no sheet in %s named Sheet1" % fname#获取行数nrows = sh.nrows#获取列数ncols = sh.ncolsprint "nrows %d, ncols %d" % (nrows,ncols)#获取第一行第一列数据cell_value = sh.cell_value(1,1)#print cell_value row_list = []#获取各行数据for i in range(1,nrows): row_data = sh.row_values(i) row_list.append(row_data)2.写入Excel(需安装pyExcelerator)
from pyExcelerator import * w = Workbook() #创建一个工作簿ws = w.add_sheet('Hey, Hades') #创建一个工作表ws.write(0,0,'bit') #在1行1列写入bitws.write(0,1,'huang') #在1行2列写入huangws.write(1,0,'xuan') #在2行1列写入xuanw.save('mini.xls') #保存7a686964616fe58685e5aeb93333.再举个自己写的读写Excel的例子
读取reflect.xls中的某些信息进行处理后写入mini.xls文件中。
4.现在我需要根据Excel文件中满足特定要求的apk的md5值来从服务器获取相应的apk样本,就需要这样做:
#-*-coding:utf8-*-import xlrdimport osimport shutil fname = "./excelname.xls"bk = xlrd.open_workbook(fname)shxrange = range(bk.nsheets)try: #打开Sheet1工作表 sh = bk.sheet_by_name("Sheet1")except: print "no sheet in %s named Sheet1" % fname#获取行数nrows = sh.nrows#获取列数ncols = sh.ncols#print "nrows %d, ncols %d" % (nrows,ncols)#获取第一行第一列数据cell_value = sh.cell_value(1,1)#print cell_value row_list = []#range(起始行,结束行)for i in range(1,nrows): row_data = sh.row_values(i) if row_data[6] == "HXB": filename = row_data[3]+".apk" #print "%s %s %s" %(i,row_data[3],filename) filepath = r"./1/"+filename print "%s %s %s" %(i,row_data[3],filepath) if os.path.exists(filepath): shutil.copy(filepath, r"./myapk/")补充一个使用xlwt3进行Excel文件的写操作。
import xlwt3 if __name__ == '__main__': datas = [['a', 'b', 'c'], ['d', 'e', 'f'], ['g', 'h']]#二维数组 file_path = 'D:\\test.xlsx' wb = xlwt3.Workbook() sheet = wb.add_sheet('test')#sheet的名称为test #单元格的格式 style = 'pattern: pattern solid, fore_colour yellow; '#背景颜色为黄色 style += 'font: bold on; '#粗体字 style += 'align: horz centre, vert center; '#居中 header_style = xlwt3.easyxf(style) row_count = len(datas) col_count = len(datas[0]) for row in range(0, row_count): col_count = len(datas[row]) for col in range(0, col_count): if row == 0:#设置表头单元格的格式 sheet.write(row, col, datas[row][col], header_style) else: sheet.write(row, col, datas[row][col]) wb.save(file_path)输出的文件内容如下图:
注:以上代码在Python 3.x版本测试通过。
本例使用java来读取excel的内7a64e78988e69d83334容并展出出结果,代码如下:
复制代码 代码如下:
import java.io.BufferedInputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.text.DecimalFormat;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.List;
import org.apache.poi.hssf.usermodel.HSSFCell;
import org.apache.poi.hssf.usermodel.HSSFDateUtil;
import org.apache.poi.hssf.usermodel.HSSFRow;
import org.apache.poi.hssf.usermodel.HSSFSheet;
import org.apache.poi.hssf.usermodel.HSSFWorkbook;
import org.apache.poi.poifs.filesystem.POIFSFileSystem;
public class ExcelOperate {
public static void main(String[] args) throws Exception {
File file = new File("ExcelDemo.xls");
String[][] result = getData(file, 1);
int rowLength = result.length;
for(int i=0;i<rowLength;i++) {
for(int j=0;j<result[i].length;j++) {
System.out.print(result[i][j]+"\t\t");
}
System.out.println();
}
}
/**
* 读取Excel的内容,第一维数组存储的是一行中格列的值,二维数组存储的是多少个行
* @param file 读取数据的源Excel
* @param ignoreRows 读取数据忽略的行数,比喻行头不需要读入 忽略的行数为1
* @return 读出的Excel中数据的内容
* @throws FileNotFoundException
* @throws IOException
*/
public static String[][] getData(File file, int ignoreRows)
throws FileNotFoundException, IOException {
List<String[]> result = new ArrayList<String[]>();
int rowSize = 0;
BufferedInputStream in = new BufferedInputStream(new FileInputStream(
file));
// 打开HSSFWorkbook
POIFSFileSystem fs = new POIFSFileSystem(in);
HSSFWorkbook wb = new HSSFWorkbook(fs);
HSSFCell cell = null;
for (int sheetIndex = 0; sheetIndex < wb.getNumberOfSheets(); sheetIndex++) {
HSSFSheet st = wb.getSheetAt(sheetIndex);
// 第一行为标题,不取
for (int rowIndex = ignoreRows; rowIndex <= st.getLastRowNum(); rowIndex++) {
HSSFRow row = st.getRow(rowIndex);
if (row == null) {
continue;
}
int tempRowSize = row.getLastCellNum() + 1;
if (tempRowSize > rowSize) {
rowSize = tempRowSize;
}
String[] values = new String[rowSize];
Arrays.fill(values, "");
boolean hasValue = false;
for (short columnIndex = 0; columnIndex <= row.getLastCellNum(); columnIndex++) {
String value = "";
cell = row.getCell(columnIndex);
if (cell != null) {
// 注意:一定要设成这个,否则可能会出现乱码
cell.setEncoding(HSSFCell.ENCODING_UTF_16);
switch (cell.getCellType()) {
case HSSFCell.CELL_TYPE_STRING:
value = cell.getStringCellValue();
break;
case HSSFCell.CELL_TYPE_NUMERIC:
if (HSSFDateUtil.isCellDateFormatted(cell)) {
Date date = cell.getDateCellValue();
if (date != null) {
value = new SimpleDateFormat("yyyy-MM-dd")
.format(date);
} else {
value = "";
}
} else {
value = new DecimalFormat("0").format(cell
.getNumericCellValue());
}
break;
case HSSFCell.CELL_TYPE_FORMULA:
// 导入时如果为公式生成的数据则无值
if (!cell.getStringCellValue().equals("")) {
value = cell.getStringCellValue();
} else {
value = cell.getNumericCellValue() + "";
}
break;
case HSSFCell.CELL_TYPE_BLANK:
break;
case HSSFCell.CELL_TYPE_ERROR:
value = "";
break;
case HSSFCell.CELL_TYPE_BOOLEAN:
value = (cell.getBooleanCellValue() == true ? "Y"
: "N");
break;
default:
value = "";
}
}
if (columnIndex == 0 && value.trim().equals("")) {
break;
}
values[columnIndex] = rightTrim(value);
hasValue = true;
}
读取文件之后分割成数组,再循环写入mysql