ENH: Add dta 119 reading to StataReader

doc/source/whatsnew/v1.0.0.rst

@@ -37,7 +37,7 @@ Other enhancements
   pandas (so it will become an integer or float dtype depending on the presence of missing data).
   (:issue:`28368`)
 - :meth:`DataFrame.to_json` now accepts an ``indent`` integer argument to enable pretty printing of JSON output (:issue:`12004`)
-
+- :meth:`read_stata` can read Stata 119 dta files. (:issue:`28250`)
 
 Build Changes
 ^^^^^^^^^^^^^

pandas/io/stata.py

@@ -1139,13 +1139,17 @@ def _read_new_header(self, first_char):
         # The first part of the header is common to 117 and 118.
         self.path_or_buf.read(27)  # stata_dta><header><release>
         self.format_version = int(self.path_or_buf.read(3))
-        if self.format_version not in [117, 118]:
+        if self.format_version not in [117, 118, 119]:
             raise ValueError(_version_error)
         self._set_encoding()
         self.path_or_buf.read(21)  # </release><byteorder>
         self.byteorder = self.path_or_buf.read(3) == b"MSF" and ">" or "<"
         self.path_or_buf.read(15)  # </byteorder><K>
-        self.nvar = struct.unpack(self.byteorder + "H", self.path_or_buf.read(2))[0]
+        nvar_type = "H" if self.format_version <= 118 else "I"
+        nvar_size = 2 if self.format_version <= 118 else 4
+        self.nvar = struct.unpack(
+            self.byteorder + nvar_type, self.path_or_buf.read(nvar_size)
+        )[0]
         self.path_or_buf.read(7)  # </K><N>
 
         self.nobs = self._get_nobs()
@@ -1207,7 +1211,7 @@ def _read_new_header(self, first_char):
         self.path_or_buf.seek(self._seek_variable_labels)
         self._variable_labels = self._get_variable_labels()
 
-    # Get data type information, works for versions 117-118.
+    # Get data type information, works for versions 117-119.
     def _get_dtypes(self, seek_vartypes):
 
         self.path_or_buf.seek(seek_vartypes)
@@ -1241,14 +1245,14 @@ def f(typ):
     def _get_varlist(self):
         if self.format_version == 117:
             b = 33
-        elif self.format_version == 118:
+        elif self.format_version >= 118:
             b = 129
 
         return [self._decode(self.path_or_buf.read(b)) for i in range(self.nvar)]
 
     # Returns the format list
     def _get_fmtlist(self):
-        if self.format_version == 118:
+        if self.format_version >= 118:
             b = 57
         elif self.format_version > 113:
             b = 49
@@ -1270,7 +1274,7 @@ def _get_lbllist(self):
         return [self._decode(self.path_or_buf.read(b)) for i in range(self.nvar)]
 
     def _get_variable_labels(self):
-        if self.format_version == 118:
+        if self.format_version >= 118:
             vlblist = [
                 self._decode(self.path_or_buf.read(321)) for i in range(self.nvar)
             ]
@@ -1285,13 +1289,13 @@ def _get_variable_labels(self):
         return vlblist
 
     def _get_nobs(self):
-        if self.format_version == 118:
+        if self.format_version >= 118:
             return struct.unpack(self.byteorder + "Q", self.path_or_buf.read(8))[0]
         else:
             return struct.unpack(self.byteorder + "I", self.path_or_buf.read(4))[0]
 
     def _get_data_label(self):
-        if self.format_version == 118:
+        if self.format_version >= 118:
             strlen = struct.unpack(self.byteorder + "H", self.path_or_buf.read(2))[0]
             return self._decode(self.path_or_buf.read(strlen))
         elif self.format_version == 117:
@@ -1303,7 +1307,7 @@ def _get_data_label(self):
             return self._decode(self.path_or_buf.read(32))
 
     def _get_time_stamp(self):
-        if self.format_version == 118:
+        if self.format_version >= 118:
             strlen = struct.unpack("b", self.path_or_buf.read(1))[0]
             return self.path_or_buf.read(strlen).decode("utf-8")
         elif self.format_version == 117:
@@ -1321,7 +1325,7 @@ def _get_seek_variable_labels(self):
             # a work around that uses the previous label, 33 bytes for each
             # variable, 20 for the closing tag and 17 for the opening tag
             return self._seek_value_label_names + (33 * self.nvar) + 20 + 17
-        elif self.format_version == 118:
+        elif self.format_version >= 118:
             return struct.unpack(self.byteorder + "q", self.path_or_buf.read(8))[0] + 17
         else:
             raise ValueError()
@@ -1519,10 +1523,12 @@ def _read_strls(self):
             else:
                 buf = self.path_or_buf.read(12)
                 # Only tested on little endian file on little endian machine.
+                v_size = 2 if self.format_version == 118 else 3
                 if self.byteorder == "<":
-                    buf = buf[0:2] + buf[4:10]
+                    buf = buf[0:v_size] + buf[4 : 12 - v_size]
                 else:
-                    buf = buf[0:2] + buf[6:]
+                    # This path may not be correct, impossible to test
+                    buf = buf[0:v_size] + buf[4 + v_size :]
                 v_o = struct.unpack("Q", buf)[0]
             typ = struct.unpack("B", self.path_or_buf.read(1))[0]
             length = struct.unpack(self.byteorder + "I", self.path_or_buf.read(4))[0]

pandas/tests/io/test_stata.py

@@ -101,6 +101,8 @@ def setup_method(self, datapath):
         self.dta24_111 = os.path.join(self.dirpath, "stata7_111.dta")
         self.dta25_118 = os.path.join(self.dirpath, "stata16_118.dta")
 
+        self.dta26_119 = os.path.join(self.dirpath, "stata1_119.dta.gz")
+
         self.stata_dates = os.path.join(self.dirpath, "stata13_dates.dta")
 
     def read_dta(self, file):
@@ -1780,3 +1782,14 @@ def test_encoding_latin1_118(self):
 
         expected = pd.DataFrame([["Düsseldorf"]] * 151, columns=["kreis1849"])
         tm.assert_frame_equal(encoded, expected)
+
+    @pytest.mark.slow
+    def test_stata_119(self):
+        # Gzipped since contains 32,999 variables and uncompressed is 20MiB
+        with gzip.open(self.dta26_119, "rb") as gz:
+            df = read_stata(gz)
+        assert df.shape == (1, 32999)
+        assert df.iloc[0, 6] == "A" * 3000
+        assert df.iloc[0, 7] == 3.14
+        assert df.iloc[0, -1] == 1
+        assert df.iloc[0, 0] == pd.Timestamp(datetime(2012, 12, 21, 21, 12, 21))