本文整理汇总了Python中statsmodels.compat.python.BytesIO.seek方法的典型用法代码示例。如果您正苦于以下问题:Python BytesIO.seek方法的具体用法?Python BytesIO.seek怎么用?Python BytesIO.seek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.compat.python.BytesIO
的用法示例。
在下文中一共展示了BytesIO.seek方法的14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_plot_acf_kwargs
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [as 别名]
def test_plot_acf_kwargs():
# Just test that it runs.
fig = plt.figure()
ax = fig.add_subplot(111)
ar = np.r_[1., -0.9]
ma = np.r_[1., 0.9]
armaprocess = tsp.ArmaProcess(ar, ma)
rs = np.random.RandomState(1234)
acf = armaprocess.generate_sample(100, distrvs=rs.standard_normal)
buff = BytesIO()
plot_acf(acf, ax=ax)
fig.savefig(buff, format='rgba')
plt.close(fig)
buff_with_vlines = BytesIO()
fig_with_vlines = plt.figure()
ax = fig_with_vlines.add_subplot(111)
vlines_kwargs = {'linestyles': 'dashdot'}
plot_acf(acf, ax=ax, vlines_kwargs=vlines_kwargs)
fig_with_vlines.savefig(buff_with_vlines, format='rgba')
plt.close(fig_with_vlines)
buff.seek(0)
buff_with_vlines.seek(0)
plain = buff.read()
with_vlines = buff_with_vlines.read()
assert_(with_vlines != plain)
示例2: test_pickle
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [as 别名]
def test_pickle():
import tempfile
from numpy.testing import assert_equal
tmpdir = tempfile.mkdtemp(prefix='pickle')
a = lrange(10)
save_pickle(a, tmpdir+'/res.pkl')
b = load_pickle(tmpdir+'/res.pkl')
assert_equal(a, b)
#cleanup, tested on Windows
try:
import os
os.remove(tmpdir+'/res.pkl')
os.rmdir(tmpdir)
except (OSError, IOError):
pass
assert not os.path.exists(tmpdir)
#test with file handle
fh = BytesIO()
save_pickle(a, fh)
fh.seek(0,0)
c = load_pickle(fh)
fh.close()
assert_equal(a,b)
示例3: test_pickle
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [as 别名]
def test_pickle(self):
fh = BytesIO()
#test wrapped results load save pickle
self.res.save(fh)
fh.seek(0,0)
res_unpickled = self.res.__class__.load(fh)
assert_(type(res_unpickled) is type(self.res))
示例4: test_datetime_roundtrip
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [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5: test_stata_writer_pandas
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [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6: check_pickle
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [as 别名]
def check_pickle(obj):
fh = BytesIO()
cPickle.dump(obj, fh, protocol=cPickle.HIGHEST_PROTOCOL)
plen = fh.tell()
fh.seek(0, 0)
res = cPickle.load(fh)
fh.close()
return res, plen
示例7: test_pickle
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [as 别名]
def test_pickle(self):
from statsmodels.compat.python import BytesIO
fh = BytesIO()
#test wrapped results load save pickle
self.res1.save(fh)
fh.seek(0,0)
res_unpickled = self.res1.__class__.load(fh)
assert_(type(res_unpickled) is type(self.res1))
示例8: test_pickle
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [as 别名]
def test_pickle(self):
fh = BytesIO()
#test wrapped results load save pickle
del self.res.model.data.orig_endog
self.res.save(fh)
fh.seek(0,0)
res_unpickled = self.res.__class__.load(fh)
assert type(res_unpickled) is type(self.res) # noqa: E721
示例9: test_stata_writer_array
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [as 别名]
def test_stata_writer_array():
buf = BytesIO()
dta = macrodata.load(as_pandas=False).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10: test_stata_writer_structured
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [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11: test_stata_writer_structured
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [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12: test_missing_roundtrip
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [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13: test_pickle_wrapper
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [as 别名]
def test_pickle_wrapper(self):
fh = BytesIO() # use cPickle with binary content
# test unwrapped results load save pickle
self.results._results.save(fh)
fh.seek(0, 0)
res_unpickled = self.results._results.__class__.load(fh)
assert_(type(res_unpickled) is type(self.results._results))
# test wrapped results load save
fh.seek(0, 0)
self.results.save(fh)
fh.seek(0, 0)
res_unpickled = self.results.__class__.load(fh)
fh.close()
# print type(res_unpickled)
assert_(type(res_unpickled) is type(self.results))
before = sorted(iterkeys(self.results.__dict__))
after = sorted(iterkeys(res_unpickled.__dict__))
assert_(before == after, msg='not equal %r and %r' % (before, after))
before = sorted(iterkeys(self.results._results.__dict__))
after = sorted(iterkeys(res_unpickled._results.__dict__))
assert_(before == after, msg='not equal %r and %r' % (before, after))
before = sorted(iterkeys(self.results.model.__dict__))
after = sorted(iterkeys(res_unpickled.model.__dict__))
assert_(before == after, msg='not equal %r and %r' % (before, after))
before = sorted(iterkeys(self.results._cache))
after = sorted(iterkeys(res_unpickled._cache))
assert_(before == after, msg='not equal %r and %r' % (before, after))
示例14: test_stata_writer_pandas
# 需要导入模块: from statsmodels.compat.python import BytesIO [as 别名]
# 或者: from statsmodels.compat.python.BytesIO import seek [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:]])