diff options
Diffstat (limited to 'numpy/lib/io.py')
| -rw-r--r-- | numpy/lib/io.py | 34 |
1 files changed, 12 insertions, 22 deletions
diff --git a/numpy/lib/io.py b/numpy/lib/io.py index 258e86976..262d20dd9 100644 --- a/numpy/lib/io.py +++ b/numpy/lib/io.py @@ -888,12 +888,7 @@ def genfromtxt(fname, dtype=float, comments='#', delimiter=None, File or filename to read. If the filename extension is `.gz` or `.bz2`, the file is first decompressed. dtype : dtype, optional - Data type of the resulting array. If this is a structured data type, - the resulting array will be 1-dimensional, and each row will be - interpreted as an element of the array. In this case, the number - of columns used must match the number of fields in the data-type, - and the names of each field will be set by the corresponding name - of the dtype. + Data type of the resulting array. If None, the dtypes will be determined by the contents of each column, individually. comments : str, optional @@ -903,23 +898,18 @@ def genfromtxt(fname, dtype=float, comments='#', delimiter=None, The string used to separate values. By default, any consecutive whitespaces act as delimiter. An integer or sequence of integers can also be provided as width(s) of each field. - skiprows : int, optional - Numbers of lines to skip at the beginning of the file. - The use of skiprows is deprecated: use `skip_header` instead. skip_header : int, optional - Numbers of lines to skip at the beginning of the file. - converters : dict or None, optional - A dictionary mapping column number to a function that will convert - values in the column to a number. Converters can also be used to - provide a default value for missing data: - ``converters = {3: lambda s: float(s or 0)}``. - missing : str, optional - A string representing a missing value, irrespective of the column where - it appears (e.g., `'missing'` or `'unused'`). - The use of `missing` is deprecated, use `missing_values` instead. - missing_values : dict or None, optional - A dictionary mapping a column number to a string indicating whether the - corresponding field should be masked. + The numbers of lines to skip at the beginning of the file. + skip_footer : int, optional + The numbers of lines to skip at the end of the file + converters : variable or None, optional + The set of functions that convert the data of a column to a value. + The converters can also be used to provide a default value + for missing data: ``converters = {3: lambda s: float(s or 0)}``. + missing_values : variable or None, optional + The set of strings corresponding to missing data. + filling_values : variable or None, optional + The set of values to be used as default when the data are missing. usecols : sequence or None, optional Which columns to read, with 0 being the first. For example, ``usecols = (1, 4, 5)`` will extract the 2nd, 5th and 6th columns. |