@classmethod<EOL><INDENT>def from_csv(cls, path, sep='<STR_LIT:U+002C>', parse_dates=True, header=None,<EOL>index_col=<NUM_LIT:0>, encoding=None, infer_datetime_format=False):<DEDENT>
<EOL>from pandas.core.frame import DataFrame<EOL>df = DataFrame.from_csv(path, header=header, index_col=index_col,<EOL>sep=sep, parse_dates=parse_dates,<EOL>encoding=encoding,<EOL>infer_datetime_format=infer_datetime_format)<EOL>result = df.iloc[:, <NUM_LIT:0>]<EOL>if header is None:<EOL><INDENT>result.index.name = result.name = None<EOL><DEDENT>return result<EOL>
Read CSV file.

.. deprecated:: 0.21.0
    Use :func:`pandas.read_csv` instead.

It is preferable to use the more powerful :func:`pandas.read_csv`
for most general purposes, but ``from_csv`` makes for an easy
roundtrip to and from a file (the exact counterpart of
``to_csv``), especially with a time Series.

This method only differs from :func:`pandas.read_csv` in some defaults:

- `index_col` is ``0`` instead of ``None`` (take first column as index
  by default)
- `header` is ``None`` instead of ``0`` (the first row is not used as
  the column names)
- `parse_dates` is ``True`` instead of ``False`` (try parsing the index
  as datetime by default)

With :func:`pandas.read_csv`, the option ``squeeze=True`` can be used
to return a Series like ``from_csv``.

Parameters
----------
path : str, file path, or file handle / StringIO
sep : str, default ','
    Field delimiter.
parse_dates : bool, default True
    Parse dates. Different default from read_table.
header : int, default None
    Row to use as header (skip prior rows).
index_col : int or sequence, default 0
    Column to use for index. If a sequence is given, a MultiIndex
    is used. Different default from read_table.
encoding : str, optional
    A string representing the encoding to use if the contents are
    non-ascii, for python versions prior to 3.
infer_datetime_format : bool, default False
    If True and `parse_dates` is True for a column, try to infer the
    datetime format based on the first datetime string. If the format
    can be inferred, there often will be a large parsing speed-up.

Returns
-------
Series

See Also
--------
read_csv