import-from-excel

i am reading date from excel which is in this format 12/5/2012 day/month/year using this code to read . using PHP EXCEL PHPExcel_Style_NumberFormat::toFormattedString($value['A'],'YYYY-MM-DD' ); its working like charm converting the above date '12/5/2012' to '2012-12-05' now the problem is if the date is lets says 18/5/2012 or you can say if i set day greater than 12 it gives me this date 18/5/2012 in this format 18/5/2012 after formating i tried this thing as well $temp = strtotime( PHPExcel_Style_NumberFormat::toFormattedString($value['A'],'YYYY-MM-DD' ); $actualdate = date('Y-m-d',$temp) ;

Okay so i am using the FileUploader module to upload my file from angular to my REST API : var uploader = $scope.uploader = new FileUploader({ url: api.getUrl('uploadCompetence',null) }); This is sent to the following POST function: router.route('/api/uploadCompetence') .post(function (req, res) { // This is where i want to read the file var competence = Competence.build(req.body.location); competence.add(function (success) { res.json({message: 'quote created!'}); }, function (err) { res.status(err).send(err); }); }) Now my goal is to read the excel file and then add each row to my database.

The problem i'm having is that the data adapter is looking at only the first row in each column to determine the data type. In my case the first column "SKU" is numbers for the first 500 rows then I happen to have SKU's which are mixed numbers and letters. So what ends up happening is rows in the SKU column are left blank, but I still get the other information for each column row. I believe it is the connection string that controls that and with my current settings it should work, however it is not. Connection String: conn.ConnectionString = @"Provider=Microsoft.ACE.OLEDB.12.0;Data Source=C:

I have a 14MB Excel file with five worksheets that I'm reading into a Pandas dataframe, and although the code below works, it takes 9 minutes! Does anyone have suggestions for speeding it up? import pandas as pd def OTT_read(xl,site_name): df = pd.read_excel(xl.io,site_name,skiprows=2,parse_dates=0,index_col=0, usecols=[0,1,2],header=None, names=['date_time','%s_depth'%site_name,'%s_temp'%site_name]) return df def make_OTT_df(FILEDIR,OTT_FILE): xl = pd.ExcelFile(FILEDIR + OTT_FILE) site_names = xl.sheet_names df_list = [OTT_read(xl,site_name) for site_name in site_names] return site_names,df