Excel Reader2.php
Celena Holtzberg
Is it possible to search a certain value inside the spreadsheet using excel_reader2 and get row number so I can get the entire row value using that? Trying to save myself from dumping the data into database, since all I want is to displaying values. And yes I know I can do data->dump, but I need a single row values based on login.
As far as I know php-excel-reader doesn't support xlsx. PHPExcel would be the way to go. That being said it might be better to store whatever is in your xslx files in a less proprietary way. Taking a long shot I would assume your xslx doesn't contain calculations which do belong in xlsx files but rather table data which would be better stored in some database (txt, csv, sqlite, a database server).
Hey guys. I am having an issue with an excel-reader script for php. I was able to read a previous smaller excel file of the same format. But now when I try and use the bigger file (more rows) it gives a
Well the code you posted either doesn't show where the value of $file is set, or it's not being set. Please include all applicable code. You can also try this before you attempt to read the file to ensure that it exists:
Also, looking at the documentation, it appears as though you might be able to conserve memory simply by telling the class to throw away 'extended data' by passing boolean FALSE as the second parameter of the constructor:
I'm looking for a way to read an excel file (xls format, but could probably use xlsx if necessary), and convert that file into an html table, preserving the rich text in the cells, cell borders, as well as the hyperlinks.
I've looked at -excel-reader2/, which looks pretty good except some borders are missed and hyperlink targets have missing letter at end of filename (weird). I could probably debug these if I have to, but another problem with this is that this code base isn't supported any more. See -php-excel.php for example (spreadsheet is at ).
I also looked at , which seems like it should be able to do this somehow, but using simple generateSheetData, borders rich text and hyperlinks don't seem to be preserved, and I'm having trouble groking the docs to see how to copy these attributes into html. See -PHPExcel.php for example (same input file).
NOTE: I would actually like to iterate through the cells because I want to add a column to the html table as I go -- I used code to dump the whole spreadsheet as simple examples of the package behaviors, and this is as far as I have gotten in my investigation.
This tells PHPExcel to ignore any formatting information in the spreadsheet file, and only to read the raw data in the cells. It means that all formatting (borders, number formatting styles, font colours, etc) will be ignored
It fixes the URLs (note that php-excel-reader2 loses the last character of the URL) by testing for a null string terminator; and doesn't appear to have any adverse effects though it isn't adjusting the offset to allow for the adjustment. I need to check the BIFF specs and run a few more tests against both BIFF 5 and BIFF8 files with different link types before I'll commit anything back to the github repo)
There is no such limit. And problem cannot be reproduced either. Tested with PHPMaker 12 (and PHPExcel extension with PHPExcel 1.8.0) by increasing the records in the demo project's order details 4 times to 8684 records, export "All Pages" in "Excel5" format, all records exported properly, output file size is 774kb. "Excel2007" format works properly too.
There might be PHP error during export so it is terminated. Try to increase your memory limit and max execution time of PHP, or try to export WITHOUT PHPExcel extension, check the exported file in a text editor (which is HTML only), see if there is PHP error at the end of the file.
Did anybody manage to fix this? I have almost exactly the same issue, my database has 1040 rows and I can only export a maximum of 996 rows using the excel or csv export selection. I'm using PHPMaker 2017 and Ive tried the latest phpExcel extension and without the extention as well.
i got a 80.000 row data and tried to export it excel, but it just keep loading
i've tried to change max_input_vars to 1.000.000 and increasing memory limit. but there's no change
is there anything i can do?
please help
The most famous is phpoffice/phpspreadsheet; it has more than 10k stars on GitHub. This library allows reading, creating, and writing spreadsheet documents in PHP. This library was formerly named phpoffice/phpexcel, the project has been deprecated in 2017, and phpspreadsheet officially replaced phpexcel.
There is no debate regarding the support of different file formats: phpoffice/phpspreadsheet supports far more formats, especially the oldest ones which are very convenient when you need to parse XLS files created with Excel 2003 97, or 95.
When it comes to performance, the big difference is that phpoffice/phpspreadsheet loads the whole XML document in memory while box/spout streams the Excel document's parsing, allowing it to consume very little memory.
Besides Microsoft Excel, Google Sheets is getting a lot of traction from users who need to collaborate near real-time on business data. Google offers API to create, read and update Google Sheets data using PHP.
Hello i am using phpexcel reader to read xlsx content on my server IE go-daddy. I tried the very attached code locally and its working very fine. But on server its showing blank output with no errors.
Researched phpexcel libraries on basis of rror class 'ziparchive' not found in phpexcel and found that we need to include PCLZip in the PHPExcel distribution as an alternative to PHP's built-in ZipArchive class.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( -nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study involved sixty-two patients who underwent shoulder MRI containing T2 mapping. The mean T2 value was measured by placing a free hand ROI over the glenoid or humeral cartilage from the bone-cartilage interface to the articular surface on three consecutive, oblique coronal images. The drawn ROI was subsequently divided into superior and inferior segments. The assessed mean T2 values of the articular cartilage of the glenohumeral joint were compared and evaluated based on the degree of rotator cuff tear, the degree of fatty atrophy of the rotator cuff, and the acromiohumeral distance.
ICC values between two readers indicated moderate or good reproducibility. The mean T2 value for the articular cartilage of the glenoid and humeral head cartilage failed to show any significant difference based on the degree of rotator cuff tear. However, the mean T2 values of articular cartilage, based on fatty atrophy, tended to be higher in fatty atrophy 3 or fatty atrophy 4 groups while some sub-regions displayed significantly higher mean T2 values. There was no correlation between the acromiohumeral distance and the mean T2 values of the articular cartilage of the glenoid and humeral head.
T2 mapping of the glenohumeral joint failed to show any significant difference in quantitative analysis of the degenerative change of the articular cartilage based on the degree of rotator cuff tear. However, it also offers quantitative information on the degenerative change of cartilage of the glenohumeral joint in patients with rotator cuff tear and severe fatty atrophy of the rotator cuff.
Rotator cuff disease mainly occurs in patients with shoulder pain, and the cases tend to becomes more pronounced in elderly patients. Over time, the partial thickness tear of the rotator cuff develops into a full thickness tear and eventually leads to degenerative alteration of the glenohumeral joint (1). Particularly for severe glenohumeral osteoarthritis, a more invasive surgical option such as total shoulder arthroplasty (TSA) may be considered (2). It has been reported that the re-tear rate of a restored rotator cuff tendon increases in patients with rotator cuff tear associated with early osteoarthritis (3). Consequently, early detection and frequent monitoring of osteoarthritis and degeneration of articular cartilage of the glenohumeral joint in patients with rotator cuff disease is important.
However, cartilage imaging that use conventional MR imaging have been developed with the aim of improving morphological detection of cartilage was albeit with a limitation of the ability to detect or monitor the cartilage degeneration mentioned above (4, 5). Of late, compositional MR imaging of the cartilage such as T2 and T1rho mapping technique, and dGEMRIC (delayed gadolinium-enhanced MR imaging of cartilage) techniques were included in the MR protocol of clinical trials. Among these MR techniques, the T2 mapping technique showed remarkable clinical application and numerous studies have been done on patients with knee joint complications (6, 7, 8, 9). Therefore, we hope to use the T2 mapping technique to assess the morphological and biochemical properties of the articular cartilage of the glenohumeral joint. The aim of this study is to evaluate the T2 value of the articular cartilage of the glenohumeral joint in patients with rotator cuff disease at 3.0T and to apply it in clinical practice.
The T2 maps were quantitatively evaluated by two radiologists (K.R.L, with six years of experience in musculoskeletal imaging and S.Y.K who has eight years of experience in general imaging). The T2 value was evaluated based on color-coded T2 maps comparing the T2-weighted, and oblique coronal images to obtain an accurate ROI on targeted cartilage of the glenoid and humeral head. For precise analysis of the T2 value, the three consecutive sections containing large area of humeral and glenoid cartilage were selected among the images (Fig. 1a, b). The mean T2 value was obtained by placing a free-hand region of interest (ROI) over the glenoid and humeral head cartilage from the bone-cartilage interface to the articular surface (Fig. 1c, d). The drawn ROI was ultimately divided into superior and an inferior segment by the Philips IntelliSpace Portal (ISP) 7.0. Hence, the three ROIs placed on the three consecutive sections were divided into six sub-regions i.e., anterosuperior (AS), anteroinferior (AI), middle-superior (MS), middle-inferior (MI), posterosuperior (PS), posteroinferior (PI) segments, and six T2 values were obtained from the glenoid or humeral head of one shoulder MR image. Thus, T2 value measurements were performed in both the glenoid cartilage and humeral head cartilage, respectively.Fig. 1
T2 value measurement (a, b). Three consecutive oblique coronal sections comprising large areas of humeral and glenoid cartilage were selected from the images. (c, d) On color-coded T2 maps comparing the T2-weighted image. ROI was drawn on targeted cartilage of the glenoid and humeral head respectively. The drawn ROI was subsequently divided into superior and inferior segments.