I’m using a plugin called TurboCSV (found here, at the time of writing). The plugin offers support to add data to your various custom fields, which need to be created before the import takes place. In my personal use, I was able to successfully import thousands of items from one .csv, including hundreds of taxonomy … Read more
Assuming the CSV file is delimited with commas, the simplest way using the csv module in Python 3 would probably be: You can specify other delimiters, such as tab characters, by specifying them when creating the csv.reader: For Python 2, use open(‘testfile.csv’, ‘rb’) to open the file.[
You need to replace open with urllib.urlopen or urllib2.urlopen. e.g. This would output the following The original question is tagged “python-2.x”, but for a Python 3 implementation (which requires only minor changes) see below.
I found this error, the cause was that there were some carriage returns “\r” in the data that pandas was using as a line terminator as if it was “\n”. I thought I’d post here as that might be a common reason this error might come up. The solution I found was to add lineterminator=’\n’ … Read more
You can do this in native JavaScript. You’ll have to parse your data into correct CSV format as so (assuming you are using an array of arrays for your data as you have described in the question): or the shorter way (using arrow functions): Then you can use JavaScript’s window.open and encodeURI functions to download the CSV file like so: … Read more
Change them to rows: Then just:
ERROR: invalid input syntax for integer: “” “” isn’t a valid integer. PostgreSQL accepts unquoted blank fields as null by default in CSV, but “” would be like writing: and fail for the same reason. If you want to deal with CSV that has things like quoted empty strings for null integers, you’ll need to feed it to PostgreSQL via … Read more
The cited answer was wrong. You had to change to As to why the cited answer was wrong (funny it has been accepted!): index, the second parameter of the forEach callback function, is the index in the looped-upon array, and it makes no sense to compare this to the size of infoArray, which is an … Read more
It’ll be good to see the csv file itself, but this might work for you, give it a try, replace: with: Or, open a file with universal newline mode and pass it to csv.reader, like: Or, use splitlines(), like this:
Using text/csv is the most appropriate type. You should also consider adding a Content-Disposition header to the response. Often a text/csv will be loaded by a Internet Explorer directly into a hosted instance of Excel. This may or may not be a desirable result. The above will cause a file “Save as” dialog to appear … Read more