first_row <- read.csv(input, nrows = 1, header = TRUE) header <- colnames(first_row) n <- 0 con <- dbConnect(SQLite(), output) on.exit(dbDisconnect(con)) while (TRUE) { df <- read.csv(input, skip = 1 + n * chunk_size,nrows = chunk_size, header = FALSE, col.names =...
日期格式转换 # 读取前10行数据train = pd.read_csv("./train.csv", nrows =10)# 将数据中的time转换为最小分度值为秒(s)的计量单位train["time"] = pd.to_datetime(train["time"], unit="s") 从日期中拆分出新的列 新增列 # 新增列year, month, weekdaytrain["year"] = pd.DatetimeIndex(trai...
print(sheet.nrows)#excel里面有多少行 print(sheet.ncols)#excel里面有多少列 print(sheet.cell(0,0).value)#获取第0行第0列的值 print(sheet.row_values(0))#获取到整行的内容 print(sheet.col_values(0))#获取到整列的内容 foriinrange(sheet.nrows):#循环获取每行的内容 print(sheet.row_values(i...
deftable2jsn(table, jsonfilename): nrows=table.nrows ncols=table.ncols f=codecs.open(jsonfilename,"w","utf-8") f.write(u"{\n\t\"list\":[\n") forrinrange(nrows-1): f.write(u"\t\t{ ") forcinrange(ncols): strCellValue=u"" CellObj=table.cell_value(r+1,c) iftype(Ce...
ifr < nrows-2: f.write(u",") f.write(u"\n") f.write(u"\t]\n}\n") f.close() print"Create ",jsonfilename," OK" return data=xlrd.open_workbook(excelFileName) table=data.sheet_by_name(u"tablelist") rs=table.nrows forrinrange(rs-1): ...