Method save

pattern/db/__init__.py:1574–1596

Exports the table to a unicode text file at the given path. Rows in the file are separated with a newline. Columns in a row are separated with the given separator (by default, comma). For data types other than string, int, float, bool or None, a custom string enc

(self, path, separator=",", encoder=lambda v: v, headers=False, **kwargs)

    headers = property(_get_headers, _set_headers)

    def save(self, path, separator=",", encoder=lambda v: v, headers=False, **kwargs):
        """ Exports the table to a unicode text file at the given path.
            Rows in the file are separated with a newline.
            Columns in a row are separated with the given separator (by default, comma).
            For data types other than string, int, float, bool or None, a custom string encoder can be given.
        """
        # Optional parameters include all arguments for csv.writer(), see:
        # http://docs.python.org/library/csv.html#csv.writer
        kwargs.setdefault("delimiter", separator)
        kwargs.setdefault("quoting", csv.QUOTE_ALL)
        # csv.writer will handle str, int, float and bool:
        s = StringIO()
        w = csv.writer(s, **kwargs)
        if headers and self.fields is not None:
            w.writerows([[csv_header_encode(name, type) for name, type in self.fields]])
        w.writerows([[encode_utf8(encoder(v)) for v in row] for row in self])
        s = s.getvalue()
        s = s.strip()
        s = re.sub("([^\"]|^)\"None\"", "\\1None", s)
        f = open(path, "wb")
        f.write(BOM_UTF8)
        f.write(s)
        f.close()

    @classmethod
    def load(cls, path, separator=",", decoder=lambda v: v, headers=False, preprocess=lambda s: s):