2023年7月20日 · The major differences between Excel XLSX and CSV file format are the file size and the formatting. In a *.CSV file, the file size is smaller, and the data looks like this: (there is no formatting, just raw data) And if you open using a text editor, you'd get this: idx,col1,col2 123,aaa,xxx 456,bbb,yyy 789,ccc,zzz

2016年6月13日 · A xlsx is the typical file format for Excel, just as docx is it for words. In a xlsx you can save the formulas, graphs, pivots, etc in the file. A CSV is just a flat text file that uses a delimiter to separated the fields, e.g. Header_1,Header_2. A,1. B,2

2010年6月19日 · CSV files hold plain text as a series of values (cells) separated by commas (,) in a series of lines (rows). You can actually open a CSV file in a text editor and read it yourself. Many applications are capable of reading CSV files, and many languages provide built-in functions that simplify reading/writing CSV format.

2016年3月2日 · You cannot use Python's csv library for reading .xlsx formatted files. You also can't use "pd.read_excel" which is a travesty (it only supports .xls). The below is a function I created to import .xlsx. It assigns the columns names on the first row of the file you import. Pretty straight forward.

2017年6月22日 · The same would be true if you imported an XLSX using the ImportExcel module. The structure is no longer the same as a CSV file or a XLSX file. It's no longer a spreadsheet, but a collection of objects. Take the simple .CSV file. Col1,Col2 a,b c,a If you were to import this using Import-CSV PowerShell, then you would get an array of two objects ...

2014年8月13日 · Is there actually a Microsoft specific format that is distinct from "plain" .csv? Googling the relevant terms returns various incredibly uninformative pages such as this one. Is any information lost or gained, or anything encoded differently by using this format than by just treating a file as a .csv, conforming to the general standards?

2014年10月9日 · If there are reasons you'd prefer to keep your files in xlsx format, you could try read.xlsx or read.xlsx2 (which is faster), both from the xlsx package. I've never done time comparisons, but 42 mb isn't a particularly large file, so maybe xlsx will be good enough if you prefer to stick with Excel format. –

2017年10月1日 · If the Excel file is an XLSX file, than the CSV file should be a little smaller than the Excel file. The numbers assumes that the Excel files does not contain images and the data in cells is dominant. The size of the CSV also depends by the encoding of the file. Check also the encoding for the two CSV files that you have.

2013年4月22日 · The XML file was 840MB, the CSV 34MB -- a 2,500% difference Compressed, the XML file was 2.5MB, the CSV 0.00015MB (150KB) -- a 1,670% difference. Equally dramatic is the time it took to uncompress and render the files as an Excel spreadsheet: It took about 20 minutes with the XML file; the CSV took 1 minute -- a 2,000% difference."

2014年4月16日 · Pandas defaults to using OpenPyXL for writing xlsx files which can be slower than than the xlwt module used for writing xls files. Try it instead with XlsxWriter as the xlsx output engine: df.to_excel('file.xlsx', sheet_name='Sheet1', engine='xlsxwriter') It …