forked from pandas-dev/pandas
/
hdfstore_bench.py
351 lines (261 loc) · 8.92 KB
/
hdfstore_bench.py
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from .pandas_vb_common import *
import os
class query_store_table(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = date_range('1/1/2000', periods=25000)
self.df = DataFrame({'float1': randn(25000), 'float2': randn(25000), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
self.store.append('df12', self.df)
def time_query_store_table(self):
self.store.select('df12', [('index', '>', self.df.index[10000]), ('index', '<', self.df.index[15000])])
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class query_store_table_wide(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = date_range('1/1/2000', periods=25000)
self.df = DataFrame(np.random.randn(25000, 100), index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
self.store.append('df11', self.df)
def time_query_store_table_wide(self):
self.store.select('df11', [('index', '>', self.df.index[10000]), ('index', '<', self.df.index[15000])])
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class read_store(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = tm.makeStringIndex(25000)
self.df = DataFrame({'float1': randn(25000), 'float2': randn(25000), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
self.store.put('df1', self.df)
def time_read_store(self):
self.store.get('df1')
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class read_store_mixed(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = tm.makeStringIndex(25000)
self.df = DataFrame({'float1': randn(25000), 'float2': randn(25000), 'string1': (['foo'] * 25000), 'bool1': ([True] * 25000), 'int1': np.random.randint(0, 250000, size=25000), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
self.store.put('df3', self.df)
def time_read_store_mixed(self):
self.store.get('df3')
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class read_store_table(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = tm.makeStringIndex(25000)
self.df = DataFrame({'float1': randn(25000), 'float2': randn(25000), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
self.store.append('df7', self.df)
def time_read_store_table(self):
self.store.select('df7')
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class read_store_table_mixed(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.N = 10000
self.index = tm.makeStringIndex(self.N)
self.df = DataFrame({'float1': randn(self.N), 'float2': randn(self.N), 'string1': (['foo'] * self.N), 'bool1': ([True] * self.N), 'int1': np.random.randint(0, self.N, size=self.N), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
self.store.append('df5', self.df)
def time_read_store_table_mixed(self):
self.store.select('df5')
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class read_store_table_panel(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.p = Panel(randn(20, 1000, 25), items=[('Item%03d' % i) for i in range(20)], major_axis=date_range('1/1/2000', periods=1000), minor_axis=[('E%03d' % i) for i in range(25)])
self.remove(self.f)
self.store = HDFStore(self.f)
self.store.append('p1', self.p)
def time_read_store_table_panel(self):
self.store.select('p1')
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class read_store_table_wide(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.df = DataFrame(np.random.randn(25000, 100))
self.remove(self.f)
self.store = HDFStore(self.f)
self.store.append('df9', self.df)
def time_read_store_table_wide(self):
self.store.select('df9')
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class write_store(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = tm.makeStringIndex(25000)
self.df = DataFrame({'float1': randn(25000), 'float2': randn(25000), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
def time_write_store(self):
self.store.put('df2', self.df)
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class write_store_mixed(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = tm.makeStringIndex(25000)
self.df = DataFrame({'float1': randn(25000), 'float2': randn(25000), 'string1': (['foo'] * 25000), 'bool1': ([True] * 25000), 'int1': np.random.randint(0, 250000, size=25000), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
def time_write_store_mixed(self):
self.store.put('df4', self.df)
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class write_store_table(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = tm.makeStringIndex(25000)
self.df = DataFrame({'float1': randn(25000), 'float2': randn(25000), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
def time_write_store_table(self):
self.store.append('df8', self.df)
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class write_store_table_dc(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.df = DataFrame(np.random.randn(10000, 10), columns=[('C%03d' % i) for i in range(10)])
self.remove(self.f)
self.store = HDFStore(self.f)
def time_write_store_table_dc(self):
self.store.append('df15', self.df, data_columns=True)
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class write_store_table_mixed(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.index = tm.makeStringIndex(25000)
self.df = DataFrame({'float1': randn(25000), 'float2': randn(25000), 'string1': (['foo'] * 25000), 'bool1': ([True] * 25000), 'int1': np.random.randint(0, 25000, size=25000), }, index=self.index)
self.remove(self.f)
self.store = HDFStore(self.f)
def time_write_store_table_mixed(self):
self.store.append('df6', self.df)
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class write_store_table_panel(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.p = Panel(randn(20, 1000, 25), items=[('Item%03d' % i) for i in range(20)], major_axis=date_range('1/1/2000', periods=1000), minor_axis=[('E%03d' % i) for i in range(25)])
self.remove(self.f)
self.store = HDFStore(self.f)
def time_write_store_table_panel(self):
self.store.append('p2', self.p)
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass
class write_store_table_wide(object):
goal_time = 0.2
def setup(self):
self.f = '__test__.h5'
self.df = DataFrame(np.random.randn(25000, 100))
self.remove(self.f)
self.store = HDFStore(self.f)
def time_write_store_table_wide(self):
self.store.append('df10', self.df)
def teardown(self):
self.store.close()
def remove(self, f):
try:
os.remove(self.f)
except:
pass