read_json¶

DataFrame.read_json(json_str, append=False, time_formats=None)[source]¶

Fill from JSON

Fills the data frame with data from a JSON string.

Args:

json_str (str):
The JSON string containing the data.

append (bool, optional):
If a data frame object holding the same name is already present in the getML, should the content of json_str be appended or replace the existing data?

time_formats (List[str], optional):
The list of formats tried when parsing time stamps. The formats are allowed to contain the following special characters: * %w - abbreviated weekday (Mon, Tue, …) * %W - full weekday (Monday, Tuesday, …) * %b - abbreviated month (Jan, Feb, …) * %B - full month (January, February, …) * %d - zero-padded day of month (01 .. 31) * %e - day of month (1 .. 31) * %f - space-padded day of month ( 1 .. 31) * %m - zero-padded month (01 .. 12) * %n - month (1 .. 12) * %o - space-padded month ( 1 .. 12) * %y - year without century (70) * %Y - year with century (1970) * %H - hour (00 .. 23) * %h - hour (00 .. 12) * %a - am/pm * %A - AM/PM * %M - minute (00 .. 59) * %S - second (00 .. 59) * %s - seconds and microseconds (equivalent to %S.%F) * %i - millisecond (000 .. 999) * %c - centisecond (0 .. 9) * %F - fractional seconds/microseconds (000000 - 999999) * %z - time zone differential in ISO 8601 format (Z or +NN.NN) * %Z - time zone differential in RFC format (GMT or +NNNN) * %% - percent sign

Returns:

DataFrame:: Handler of the underlying data.

Note:

This does not support NaN values. If you want support for NaN, use from_json() instead.