printing a new line in a csv file cell
Try this “\n” inside double quote
Try this “\n” inside double quote
js2010’s answer shows the effective solution: use “…”-quoting, i.e. an expandable string explicitly. It is a good habit to form to use “…” explicitly around command arguments that are strings containing variable references (e.g. “$HOME/projects”) or subexpressions (e.g., “./folder/$(Get-Date -Format yyyy-MM)”) While such compound string arguments generally do not require double-quoting[1] – because they are … Read more
I implemented excel export using these two libraries: file-server and xlsx. You can add it to your existing project with: npm install file-saver –save npm install xlsx –save ExcelService example: import { Injectable } from ‘@angular/core’; import * as FileSaver from ‘file-saver’; import * as XLSX from ‘xlsx’; const EXCEL_TYPE = ‘application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;charset=UTF-8’; const EXCEL_EXTENSION = … Read more
Here’s a self-contained example along the lines of Richard’s comment, but uses the names of the dataframes in the list as filenames for the CSV files: # Create a list of n data frames n <- 10 my_list <- lapply(1:n, function(i) data.frame(x = rnorm(10), y = rnorm(10)) ) # name the data frames names(my_list) <- … Read more
You should add the UTF-8 BOM at the start of the text, like: var csvContent = “data:text/csv;charset=utf-8,%EF%BB%BF” + encodeURI(csvContent); It worked for me with Excel 2013. Demo Fiddle
Solution: header = True for chunk in chunks: chunk.to_csv(os.path.join(folder, new_folder, “new_file_” + filename), header=header, cols=[[‘TIME’,’STUFF’]], mode=”a”) header = False Notes: The mode=”a” tells pandas to append. We only write a column header on the first chunk.
Should work on every modern browser and without jQuery or any dependency, here my implementation : // Quick and simple export target #table_id into a csv function download_table_as_csv(table_id, separator=”,”) { // Select rows from table_id var rows = document.querySelectorAll(‘table#’ + table_id + ‘ tr’); // Construct csv var csv = []; for (var i = … Read more
To get the top-level keys as a stream, you can use the built-in function keys[]. So one solution to your particular problem would be: jq -r ‘keys[] as $k | “\($k), \(.[$k] | .ip)”‘ keys produces the key names in sorted order; if you want them in the original order, use keys_unsorted. Another alternative, which … Read more
Here is a generic JSON-to-CSV converter that makes just one major assumption and one minor assumption. The major assumption is that all the JSON entities are conformal. In your case, it means that all corresponding objects have the same keys (though they may be in different order). If this assumption is ever violated, an error … Read more
Since version v0.13.0 (January 3, 2014) of Pandas you can use the date_format parameter of the to_csv method: df.to_csv(filename, date_format=”%Y%m%d”)