You could try using the LIMIT feature. If you do this: SELECT * FROM MyTable ORDER BY whatever LIMIT 0,1000 You’ll get the first 1,000 rows. The first LIMIT value (0) defines the starting row in the result set. It’s zero-indexed, so 0 means “the first row”. The second LIMIT value is the maximum number … Read more
You’re looking for data serialisation. Popular choices that are robust are Sereal, JSON::XS and YAML::XS. Lesser known formats are: ASN.1, Avro, BERT, BSON, CBOR, JSYNC, MessagePack, Protocol Buffers, Thrift. Other often mentioned choices are Storable and Data::Dumper (or similar)/eval, but I cannot recommend them because Storable’s format is Perl version dependent, and eval is unsafe … Read more
This “FileSaver” library may help. If you want it to be reasonably cross-browser, you’ll also need this to implement the W3C Blob API in places it’s not already implemented. Both respect namespaces, and are completely framework agnostic, so don’t worry about naming issues. Once you’ve got those included, and as long as you’re only saving … Read more
I recommend you use shelve. For example: import shelve d = shelve.open(‘score.txt’) # here you will save the score variable d[‘score’] = score # thats all, now it is saved on disk. d.close() Next time you open your program use: import shelve d = shelve.open(‘score.txt’) score = d[‘score’] # the score is read from disk … Read more
Here is a much faster method than using .SaveCopyAs to create a copy an then open that copy and do a save as… As mentioned in my comments, this process takes approx 1 second to create an xlsx copy from a workbook which has 10 worksheets (Each with 100 rows * 20 Cols of data) … Read more
If you are using Matplotlib and are trying to get good figures in a LaTeX document, save as an EPS. Specifically, try something like this after running the commands to plot the image: plt.savefig(‘destination_path.eps’, format=”eps”) I have found that EPS files work best and the dpi parameter is what really makes them look good in … Read more
If your data are pretty simple, like just collections of collections of strings or numbers, I would use json. What JSON is, is a string representation of simple data types and combinations of simple data types. Once you use the json module to convert your data to a string, you write it to a file … Read more
I know this question is 2 years old, but hopefully people will see this update. You can prompt the user to save an image in a base64 string (and also set the filename), without asking the user to do a right click var download = document.createElement(‘a’); download.href = dataURI; download.download = filename; download.click(); Example: var … Read more
The build-in .npy file format is perfectly fine for working with small datasets, without relying on external modules other then numpy. However, when you start having large amounts of data, the use of a file format, such as HDF5, designed to handle such datasets, is to be preferred [1]. For instance, below is a solution … Read more
The error regarding the file extension has been handled, you either use BMP (without the dot) or pass the output name with the extension already. Now to handle the error you need to properly modify your data in the frequency domain to be saved as an integer image, PIL is telling you that it doesn’t … Read more