packages/vaex-core/vaex/__init__.py
def from_ascii(path, seperator=None, names=True, skip_lines=0, skip_after=0, **kwargs):
    """
    Create an in memory DataFrame from an ascii file (whitespace seperated by default).

    >>> ds = vx.from_ascii("table.asc")
    >>> ds = vx.from_ascii("table.csv", seperator=",", names=["x", "y", "z"])

    :param path: file path
    :param seperator: value seperator, by default whitespace, use "," for comma seperated values.
    :param names: If True, the first line is used for the column names, otherwise provide a list of strings with names
    :param skip_lines: skip lines at the start of the file
    :param skip_after: skip lines at the end of the file
    :param kwargs:
    :rtype: DataFrame
    """

    import vaex.ext.readcol as rc
    ds = vaex.dataframe.DataFrameArrays(path)
    if names not in [True, False]:
        namelist = names
        names = False
    else:
        namelist = None
    data = rc.readcol(path, fsep=seperator, asdict=namelist is None, names=names, skipline=skip_lines, skipafter=skip_after, **kwargs)
    if namelist:
        for name, array in zip(namelist, data.T):
            ds.add_column(name, array)
    else:
        for name, array in data.items():
            ds.add_column(name, array)
    return ds
def from_ascii(path, seperator=None, names=True, skip_lines=0, skip_after=0, **kwargs):
    """
    Create an in memory DataFrame from an ascii file (whitespace seperated by default).

    >>> ds = vx.from_ascii("table.asc")
    >>> ds = vx.from_ascii("table.csv", seperator=",", names=["x", "y", "z"])

    :param path: file path
    :param seperator: value seperator, by default whitespace, use "," for comma seperated values.
    :param names: If True, the first line is used for the column names, otherwise provide a list of strings with names
    :param skip_lines: skip lines at the start of the file
    :param skip_after: skip lines at the end of the file
    :param kwargs:
    :rtype: DataFrame
    """

    import vaex.ext.readcol as rc
    ds = vaex.dataframe.DataFrameArrays(path)
    if names not in [True, False]:
        namelist = names
        names = False
    else:
        namelist = None
    data = rc.readcol(path, fsep=seperator, asdict=namelist is None, names=names, skipline=skip_lines, skipafter=skip_after, **kwargs)
    if namelist:
        for name, array in zip(namelist, data.T):
            ds.add_column(name, array)
    else:
        for name, array in data.items():
            ds.add_column(name, array)
    return ds
def from_ascii ( path , seperator = None , names = True , skip_lines = 0 , skip_after = 0 , * * kwargs ) : import vaex . ext . readcol as rc ds = vaex . dataframe . DataFrameArrays ( path ) if names not in [ True , False ] : namelist = names names = False else : namelist = None data = rc . readcol ( path , fsep = seperator , asdict = namelist is None , names = names , skipline = skip_lines , skipafter = skip_after , * * kwargs ) if namelist : for name , array in zip ( namelist , data . T ) : ds . add_column ( name , array ) else : for name , array in data . items ( ) : ds . add_column ( name , array ) return ds
Create an in memory DataFrame from an ascii file (whitespace seperated by default).

    >>> ds = vx.from_ascii("table.asc")
    >>> ds = vx.from_ascii("table.csv", seperator=",", names=["x", "y", "z"])

    :param path: file path
    :param seperator: value seperator, by default whitespace, use "," for comma seperated values.
    :param names: If True, the first line is used for the column names, otherwise provide a list of strings with names
    :param skip_lines: skip lines at the start of the file
    :param skip_after: skip lines at the end of the file
    :param kwargs:
    :rtype: DataFrame
Create an in memory DataFrame from an ascii file ( whitespace seperated by default ) .