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# pandas.Panel.to_json

`Panel.``to_json`(path_or_buf=None, orient=None, date_format='epoch', double_precision=10, force_ascii=True, date_unit='ms', default_handler=None)

  Convert the object to a JSON string.

  Note NaN’s and None will be converted to null and datetime objects will be converted to UNIX timestamps.

  Parameters : | path_or_buf : the path or buffer to write the result string if this is None, return a StringIO of the converted string orient : string Series default is ‘index’ allowed values are: {‘split’,’records’,’index’} DataFrame default is ‘columns’ allowed values are: {‘split’,’records’,’index’,’columns’,’values’} The format of the JSON string split : dict like {index -> [index], columns -> [columns], data -> [values]} records : list like [{column -> value}, ... , {column -> value}] index : dict like {index -> {column -> value}} columns : dict like {column -> {index -> value}} values : just the values array date_format : {‘epoch’, ‘iso’} Type of date conversion. epoch = epoch milliseconds, iso` = ISO8601, default is epoch. double_precision : The number of decimal places to use when encoding floating point values, default 10. force_ascii : force encoded string to be ASCII, default True. date_unit : string, default ‘ms’ (milliseconds) The time unit to encode to, governs timestamp and ISO8601 precision. One of ‘s’, ‘ms’, ‘us’, ‘ns’ for second, millisecond, microsecond, and nanosecond respectively. default_handler : callable, default None Handler to call if object cannot otherwise be converted to a suitable format for JSON. Should receive a single argument which is the object to convert and return a serialisable object.
  Returns : | same type as input object with filtered info axis

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