@@ -137,8 +137,10 @@ usecols : array-like or callable, default ``None``
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Using this parameter results in much faster parsing time and lower memory usage.
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as_recarray : boolean, default ``False ``
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- DEPRECATED: this argument will be removed in a future version. Please call
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- ``pd.read_csv(...).to_records() `` instead.
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+
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+ .. deprecated :: 0.18.2
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+
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+ Please call ``pd.read_csv(...).to_records() `` instead.
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Return a NumPy recarray instead of a DataFrame after parsing the data. If
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set to ``True ``, this option takes precedence over the ``squeeze `` parameter.
@@ -191,7 +193,11 @@ skiprows : list-like or integer, default ``None``
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skipfooter : int, default ``0 ``
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Number of lines at bottom of file to skip (unsupported with engine='c').
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skip_footer : int, default ``0 ``
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- DEPRECATED: use the ``skipfooter `` parameter instead, as they are identical
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+
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+ .. deprecated :: 0.19.0
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+
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+ Use the ``skipfooter `` parameter instead, as they are identical
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+
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nrows : int, default ``None ``
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Number of rows of file to read. Useful for reading pieces of large files.
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low_memory : boolean, default ``True ``
@@ -202,16 +208,25 @@ low_memory : boolean, default ``True``
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use the ``chunksize `` or ``iterator `` parameter to return the data in chunks.
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(Only valid with C parser)
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buffer_lines : int, default None
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- DEPRECATED: this argument will be removed in a future version because its
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- value is not respected by the parser
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+ .. deprecated :: 0.19.0
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+ Argument removed because its value is not respected by the parser
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+
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compact_ints : boolean, default False
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- DEPRECATED: this argument will be removed in a future version
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+
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+ .. deprecated :: 0.19.0
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+ Argument moved to ``pd.to_numeric ``
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If ``compact_ints `` is ``True ``, then for any column that is of integer dtype, the
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parser will attempt to cast it as the smallest integer ``dtype `` possible, either
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signed or unsigned depending on the specification from the ``use_unsigned `` parameter.
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use_unsigned : boolean, default False
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- DEPRECATED: this argument will be removed in a future version
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+
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+ .. deprecated :: 0.18.2
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+ Argument moved to ``pd.to_numeric ``
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If integer columns are being compacted (i.e. ``compact_ints=True ``), specify whether
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the column should be compacted to the smallest signed or unsigned integer dtype.
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