demo + utils venv

2019-02-03 13:40:10 +01:00
parent 5fa112490b
commit cfa9c8ea23
5994 changed files with 1353819 additions and 0 deletions
@@ -0,0 +1,68 @@
+"""
+Read SAS sas7bdat or xport files.
+"""
+from pandas import compat
+
+from pandas.io.common import _stringify_path
+
+
+def read_sas(filepath_or_buffer, format=None, index=None, encoding=None,
+             chunksize=None, iterator=False):
+    """
+    Read SAS files stored as either XPORT or SAS7BDAT format files.
+
+    Parameters
+    ----------
+    filepath_or_buffer : string or file-like object
+        Path to the SAS file.
+    format : string {'xport', 'sas7bdat'} or None
+        If None, file format is inferred from file extension. If 'xport' or
+        'sas7bdat', uses the corresponding format.
+    index : identifier of index column, defaults to None
+        Identifier of column that should be used as index of the DataFrame.
+    encoding : string, default is None
+        Encoding for text data.  If None, text data are stored as raw bytes.
+    chunksize : int
+        Read file `chunksize` lines at a time, returns iterator.
+    iterator : bool, defaults to False
+        If True, returns an iterator for reading the file incrementally.
+
+    Returns
+    -------
+    DataFrame if iterator=False and chunksize=None, else SAS7BDATReader
+    or XportReader
+    """
+    if format is None:
+        buffer_error_msg = ("If this is a buffer object rather "
+                            "than a string name, you must specify "
+                            "a format string")
+        filepath_or_buffer = _stringify_path(filepath_or_buffer)
+        if not isinstance(filepath_or_buffer, compat.string_types):
+            raise ValueError(buffer_error_msg)
+        fname = filepath_or_buffer.lower()
+        if fname.endswith(".xpt"):
+            format = "xport"
+        elif fname.endswith(".sas7bdat"):
+            format = "sas7bdat"
+        else:
+            raise ValueError("unable to infer format of SAS file")
+
+    if format.lower() == 'xport':
+        from pandas.io.sas.sas_xport import XportReader
+        reader = XportReader(filepath_or_buffer, index=index,
+                             encoding=encoding,
+                             chunksize=chunksize)
+    elif format.lower() == 'sas7bdat':
+        from pandas.io.sas.sas7bdat import SAS7BDATReader
+        reader = SAS7BDATReader(filepath_or_buffer, index=index,
+                                encoding=encoding,
+                                chunksize=chunksize)
+    else:
+        raise ValueError('unknown SAS format')
+
+    if iterator or chunksize:
+        return reader
+
+    data = reader.read()
+    reader.close()
+    return data