packages/vaex-core/vaex/dataframe.py
def ucd_find(self, ucds, exclude=[]):
        """Find a set of columns (names) which have the ucd, or part of the ucd.

        Prefixed with a ^, it will only match the first part of the ucd.

        Example

        >>> df.ucd_find('pos.eq.ra', 'pos.eq.dec')
        ['RA', 'DEC']
        >>> df.ucd_find('pos.eq.ra', 'doesnotexist')
        >>> df.ucds[df.ucd_find('pos.eq.ra')]
        'pos.eq.ra;meta.main'
        >>> df.ucd_find('meta.main')]
        'dec'
        >>> df.ucd_find('^meta.main')]
        """
        if isinstance(ucds, six.string_types):
            ucds = [ucds]
        if len(ucds) == 1:
            ucd = ucds[0]
            if ucd[0] == "^":  # we want it to start with
                ucd = ucd[1:]
                columns = [name for name in self.get_column_names() if self.ucds.get(name, "").startswith(ucd) and name not in exclude]
            else:
                columns = [name for name in self.get_column_names() if ucd in self.ucds.get(name, "") and name not in exclude]
            return None if len(columns) == 0 else columns[0]
        else:
            columns = [self.ucd_find([ucd], exclude=exclude) for ucd in ucds]
            return None if None in columns else columns
def ucd_find(self, ucds, exclude=[]):
        """Find a set of columns (names) which have the ucd, or part of the ucd.

        Prefixed with a ^, it will only match the first part of the ucd.

        Example

        >>> df.ucd_find('pos.eq.ra', 'pos.eq.dec')
        ['RA', 'DEC']
        >>> df.ucd_find('pos.eq.ra', 'doesnotexist')
        >>> df.ucds[df.ucd_find('pos.eq.ra')]
        'pos.eq.ra;meta.main'
        >>> df.ucd_find('meta.main')]
        'dec'
        >>> df.ucd_find('^meta.main')]
        """
        if isinstance(ucds, six.string_types):
            ucds = [ucds]
        if len(ucds) == 1:
            ucd = ucds[0]
            if ucd[0] == "^":  # we want it to start with
                ucd = ucd[1:]
                columns = [name for name in self.get_column_names() if self.ucds.get(name, "").startswith(ucd) and name not in exclude]
            else:
                columns = [name for name in self.get_column_names() if ucd in self.ucds.get(name, "") and name not in exclude]
            return None if len(columns) == 0 else columns[0]
        else:
            columns = [self.ucd_find([ucd], exclude=exclude) for ucd in ucds]
            return None if None in columns else columns
def ucd_find ( self , ucds , exclude = [ ] ) : if isinstance ( ucds , six . string_types ) : ucds = [ ucds ] if len ( ucds ) == 1 : ucd = ucds [ 0 ] if ucd [ 0 ] == "^" : # we want it to start with ucd = ucd [ 1 : ] columns = [ name for name in self . get_column_names ( ) if self . ucds . get ( name , "" ) . startswith ( ucd ) and name not in exclude ] else : columns = [ name for name in self . get_column_names ( ) if ucd in self . ucds . get ( name , "" ) and name not in exclude ] return None if len ( columns ) == 0 else columns [ 0 ] else : columns = [ self . ucd_find ( [ ucd ] , exclude = exclude ) for ucd in ucds ] return None if None in columns else columns
Find a set of columns (names) which have the ucd, or part of the ucd.

        Prefixed with a ^, it will only match the first part of the ucd.

        Example

        >>> df.ucd_find('pos.eq.ra', 'pos.eq.dec')
        ['RA', 'DEC']
        >>> df.ucd_find('pos.eq.ra', 'doesnotexist')
        >>> df.ucds[df.ucd_find('pos.eq.ra')]
        'pos.eq.ra;meta.main'
        >>> df.ucd_find('meta.main')]
        'dec'
        >>> df.ucd_find('^meta.main')]
Find a set of columns ( names ) which have the ucd or part of the ucd .