本文整理汇总了Python中statsmodels.iolib.foreign.StataWriter.write_file方法的典型用法代码示例。如果您正苦于以下问题：Python StataWriter.write_file方法的具体用法？Python StataWriter.write_file怎么用？Python StataWriter.write_file使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类statsmodels.iolib.foreign.StataWriter的用法示例。
在下文中一共展示了StataWriter.write_file方法的9个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_datetime_roundtrip
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_datetime_roundtrip():
dta = np.array([(1, datetime(2010, 1, 1), 2),
(2, datetime(2010, 2, 1), 3),
(4, datetime(2010, 3, 1), 5)],
dtype=[('var1', float), ('var2', object), ('var3', float)])
buf = BytesIO()
with pytest.warns(FutureWarning):
writer = StataWriter(buf, dta, {"var2" : "tm"})
writer.write_file()
buf.seek(0)
with pytest.warns(FutureWarning):
dta2 = genfromdta(buf)
assert_equal(dta, dta2)
dta = DataFrame.from_records(dta)
buf = BytesIO()
with pytest.warns(FutureWarning):
writer = StataWriter(buf, dta, {"var2" : "tm"})
writer.write_file()
buf.seek(0)
with pytest.warns(FutureWarning):
dta2 = genfromdta(buf, pandas=True)
ptesting.assert_frame_equal(dta, dta2.drop('index', axis=1))示例2: test_stata_writer_pandas
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_stata_writer_pandas():
buf = BytesIO()
dta = macrodata.load_pandas().data
dta4 = dta.copy()
for col in ('year','quarter'):
dta[col] = dta[col].astype(np.int64)
dta4[col] = dta4[col].astype(np.int32)
# dta is int64 'i8' given to Stata writer
with pytest.warns(FutureWarning):
writer = StataWriter(buf, dta)
with warnings.catch_warnings(record=True) as w:
writer.write_file()
assert len(w) == 0
buf.seek(0)
with pytest.warns(FutureWarning):
dta2 = genfromdta(buf)
dta5 = DataFrame.from_records(dta2)
# dta2 is int32 'i4' returned from Stata reader
if dta5.dtypes[1] is np.dtype('int64'):
ptesting.assert_frame_equal(dta.reset_index(), dta5)
else:
# don't check index because it has different size, int32 versus int64
ptesting.assert_frame_equal(dta4, dta5[dta5.columns[1:]])示例3: test_stata_writer_array
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_stata_writer_array():
buf = BytesIO()
dta = macrodata.load().data
dta = DataFrame.from_records(dta)
dta.columns = ["v%d" % i for i in range(1,15)]
writer = StataWriter(buf, dta.values)
writer.write_file()
buf.seek(0)
dta2 = genfromdta(buf)
dta = dta.to_records(index=False)
assert_array_equal(dta, dta2)示例4: test_stata_writer_structured
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_stata_writer_structured():
buf = BytesIO()
dta = macrodata.load().data
dtype = dta.dtype
dta = dta.astype(np.dtype([('year', int),
('quarter', int)] + dtype.descr[2:]))
writer = StataWriter(buf, dta)
writer.write_file()
buf.seek(0)
dta2 = genfromdta(buf)
assert_array_equal(dta, dta2)示例5: test_stata_writer_pandas
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_stata_writer_pandas():
buf = BytesIO()
dta = macrodata.load().data
dtype = dta.dtype
#as of 0.9.0 pandas only supports i8 and f8
dta = dta.astype(np.dtype([('year', 'i8'),
('quarter', 'i8')] + dtype.descr[2:]))
dta = DataFrame.from_records(dta)
writer = StataWriter(buf, dta)
writer.write_file()
buf.seek(0)
dta2 = genfromdta(buf)
ptesting.assert_frame_equal(dta.reset_index(), DataFrame.from_records(dta2))示例6: test_stata_writer_structured
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_stata_writer_structured():
buf = BytesIO()
dta = macrodata.load(as_pandas=False).data
dtype = dta.dtype
dt = [('year', int), ('quarter', int)] + dtype.descr[2:]
if not PY3: # Remove unicode
dt = [(name.encode('ascii'), typ) for name, typ in dt]
dta = dta.astype(np.dtype(dt))
writer = StataWriter(buf, dta)
writer.write_file()
buf.seek(0)
dta2 = genfromdta(buf)
assert_array_equal(dta, dta2)示例7: test_missing_roundtrip
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_missing_roundtrip():
buf = StringIO()
dta = np.array([(np.nan, np.inf, "")],
dtype=[("double_miss", float), ("float_miss", np.float32),
("string_miss", "a1")])
writer = StataWriter(buf, dta)
writer.write_file()
buf.seek(0)
dta = genfromdta(buf, missing_flt=np.nan)
assert_(isnull(dta[0][0]))
assert_(isnull(dta[0][1]))
assert_(dta[0][2] == "")
dta = genfromdta("./data_missing.dta", missing_flt=-999)
assert_(np.all([dta[0][i] == -999 for i in range(5)]))示例8: test_missing_roundtrip
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_missing_roundtrip():
buf = BytesIO()
dta = np.array([(np.nan, np.inf, "")],
dtype=[("double_miss", float), ("float_miss", np.float32),
("string_miss", "a1")])
writer = StataWriter(buf, dta)
writer.write_file()
buf.seek(0)
dta = genfromdta(buf, missing_flt=np.nan)
assert_(isnull(dta[0][0]))
assert_(isnull(dta[0][1]))
assert_(dta[0][2] == asbytes(""))
dta = genfromdta(os.path.join(curdir, "results/data_missing.dta"),
missing_flt=-999)
assert_(np.all([dta[0][i] == -999 for i in range(5)]))示例9: test_stata_writer_pandas
# 需要导入模块: from statsmodels.iolib.foreign import StataWriter [as 别名]
# 或者: from statsmodels.iolib.foreign.StataWriter import write_file [as 别名]
def test_stata_writer_pandas():
buf = BytesIO()
dta = macrodata.load().data
dtype = dta.dtype
#as of 0.9.0 pandas only supports i8 and f8
dta = dta.astype(np.dtype([('year', 'i8'),
('quarter', 'i8')] + dtype.descr[2:]))
dta4 = dta.astype(np.dtype([('year', 'i4'),
('quarter', 'i4')] + dtype.descr[2:]))
dta = DataFrame.from_records(dta)
dta4 = DataFrame.from_records(dta4)
# dta is int64 'i8' given to Stata writer
writer = StataWriter(buf, dta)
writer.write_file()
buf.seek(0)
dta2 = genfromdta(buf)
dta5 = DataFrame.from_records(dta2)
# dta2 is int32 'i4' returned from Stata reader
if dta5.dtypes[1] is np.dtype('int64'):
ptesting.assert_frame_equal(dta.reset_index(), dta5)
else:
# don't check index because it has different size, int32 versus int64
ptesting.assert_frame_equal(dta4, dta5[dta5.columns[1:]])