includeHeaders - Boolean Set this option to false to hide the CSV headers. booleanFalseString - String Will be used instead of false. booleanTrueString - String Will be used instead of true. arrayPathString - String This is used to output primitive arrays in a single column, defaults to. mainPathItem - String Every header will have the mainPathItem as the base. endOfLine - String Replace the OS default EOL. forceTextDelimiter - Boolean Set this option to true to wrap every data item and header in the textDelimiter. textDelimiter - String The character used to escape the text content if needed (default to "). rowDelimiter - String Change the file row delimiter. 
mapHeaders - Function Post-process headers after they are calculated with delimiters, example mapHeaders: (header) => header.replace(/foo\./, ''). rename - Array Used to set a custom header text, defaults to example. headers - Array Used to set a custom header order, defaults to example. fillTopRow - Boolean try filling top rows first for unpopular colums, defaults to false. fillGaps - Boolean Set this option if don't want to have empty cells in case of an object with multiple nested items (array prop), defaults to false Issue #22. headerPathString - String Used to create the propriety path, defaults to. It’s easy to install ( brew install dasel), and it works great as a format converter.In order to get the most of out of this module, you can customize many parameters and functions. Think of it as a jq that supports selection on formats besides just JSON. The simplest way to do this JSON to CSV conversion is with dasel. With that in mind, let’s review some tools for converting from JSON to CSV at the command line. So although it seems like CSV conversion can be done by hand in python, or your language of choice, using an existing tool that is known to handle the edges cases well it the way to go. Some implementations disallow such content while others surround the field with quotation marks, which yet again creates the need for escaping these if they are present in the data. Separating fields with commas is the foundation, but commas in the data or embedded line breaks have to be handled specially. 
The CSV file format is not fully standardized. Things get more complex from there, and even the CSV standard does not specify how to handle all the edge cases and some formatting options are non-compatible. 1997,Ford,E350, "Go get one ""now""\n they are going fast"\n
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