本文整理汇总了Python中pandas.compat.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pandas.compat.BytesIO的用法示例。
在下文中一共展示了BytesIO.seek方法的6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: packers_write_excel_xlwt
# 需要导入模块: from pandas.compat import BytesIO [as 别名]
# 或者: from pandas.compat.BytesIO import seek [as 别名]
class packers_write_excel_xlwt(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.msg'
self.N = 100000
self.C = 5
self.index = date_range('20000101', periods=self.N, freq='H')
self.df = DataFrame(dict([('float{0}'.format(i), randn(self.N)) for i in range(self.C)]), index=self.index)
self.N = 100000
self.C = 5
self.index = date_range('20000101', periods=self.N, freq='H')
self.df2 = DataFrame(dict([('float{0}'.format(i), randn(self.N)) for i in range(self.C)]), index=self.index)
self.df2['object'] = [('%08x' % randrange((16 ** 8))) for _ in range(self.N)]
self.remove(self.f)
self.bio = BytesIO()
def time_packers_write_excel_xlwt(self):
self.bio.seek(0)
self.writer = pd.io.excel.ExcelWriter(self.bio, engine='xlwt')
self.df[:2000].to_excel(self.writer)
self.writer.save()
def remove(self, f):
try:
os.remove(self.f)
except:
pass示例2: Excel
# 需要导入模块: from pandas.compat import BytesIO [as 别名]
# 或者: from pandas.compat.BytesIO import seek [as 别名]
class Excel(object):
goal_time = 0.2
params = ['openpyxl', 'xlsxwriter', 'xlwt']
param_names = ['engine']
def setup(self, engine):
N = 2000
C = 5
self.df = DataFrame(np.random.randn(N, C),
columns=['float{}'.format(i) for i in range(C)],
index=date_range('20000101', periods=N, freq='H'))
self.df['object'] = tm.makeStringIndex(N)
self.bio_read = BytesIO()
self.writer_read = ExcelWriter(self.bio_read, engine=engine)
self.df.to_excel(self.writer_read, sheet_name='Sheet1')
self.writer_read.save()
self.bio_read.seek(0)
self.bio_write = BytesIO()
self.bio_write.seek(0)
self.writer_write = ExcelWriter(self.bio_write, engine=engine)
def time_read_excel(self, engine):
read_excel(self.bio_read)
def time_write_excel(self, engine):
self.df.to_excel(self.writer_write, sheet_name='Sheet1')
self.writer_write.save()示例3: packers_read_excel
# 需要导入模块: from pandas.compat import BytesIO [as 别名]
# 或者: from pandas.compat.BytesIO import seek [as 别名]
class packers_read_excel(_Packers):
def setup(self):
self._setup()
self.bio = BytesIO()
self.writer = pd.io.excel.ExcelWriter(self.bio, engine='xlsxwriter')
self.df[:2000].to_excel(self.writer)
self.writer.save()
def time_packers_read_excel(self):
self.bio.seek(0)
pd.read_excel(self.bio)示例4: test_stringio_writer
# 需要导入模块: from pandas.compat import BytesIO [as 别名]
# 或者: from pandas.compat.BytesIO import seek [as 别名]
def test_stringio_writer(self):
_skip_if_no_xlsxwriter()
_skip_if_no_xlrd()
path = BytesIO()
with ExcelWriter(path, engine='xlsxwriter', **{'options': {'in-memory': True}}) as ew:
self.frame.to_excel(ew, 'test1', engine='xlsxwriter')
ew.save()
path.seek(0)
ef = ExcelFile(path)
found_df = ef.parse('test1')
tm.assert_frame_equal(self.frame, found_df)
path.close()示例5: Excel
# 需要导入模块: from pandas.compat import BytesIO [as 别名]
# 或者: from pandas.compat.BytesIO import seek [as 别名]
class Excel(_Packers):
def setup(self):
self._setup()
self.bio = BytesIO()
def time_write_excel_openpyxl(self):
self.bio.seek(0)
self.writer = pd.io.excel.ExcelWriter(self.bio, engine='openpyxl')
self.df[:2000].to_excel(self.writer)
self.writer.save()
def time_write_excel_xlsxwriter(self):
self.bio.seek(0)
self.writer = pd.io.excel.ExcelWriter(self.bio, engine='xlsxwriter')
self.df[:2000].to_excel(self.writer)
self.writer.save()
def time_write_excel_xlwt(self):
self.bio.seek(0)
self.writer = pd.io.excel.ExcelWriter(self.bio, engine='xlwt')
self.df[:2000].to_excel(self.writer)
self.writer.save()示例6: time_write_excel
# 需要导入模块: from pandas.compat import BytesIO [as 别名]
# 或者: from pandas.compat.BytesIO import seek [as 别名]
def time_write_excel(self, engine):
bio_write = BytesIO()
bio_write.seek(0)
writer_write = ExcelWriter(bio_write, engine=engine)
self.df.to_excel(writer_write, sheet_name='Sheet1')
writer_write.save()