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packers.py
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from vbench.api import Benchmark
from datetime import datetime
start_date = datetime(2013, 5, 1)
common_setup = """from pandas_vb_common import *
import os
import pandas as pd
from pandas.core import common as com
from random import randrange
f = '__test__.msg'
def remove(f):
try:
os.remove(f)
except:
pass
N=100000
C=5
index = date_range('20000101',periods=N,freq='H')
df = DataFrame(dict([ ("float{0}".format(i),randn(N)) for i in range(C) ]),
index=index)
N=100000
C=5
index = date_range('20000101',periods=N,freq='H')
df2 = DataFrame(dict([ ("float{0}".format(i),randn(N)) for i in range(C) ]),
index=index)
df2['object'] = ['%08x'%randrange(16**8) for _ in range(N)]
remove(f)
"""
#----------------------------------------------------------------------
# msgpack
setup = common_setup + """
df2.to_msgpack(f)
"""
packers_read_pack = Benchmark("pd.read_msgpack(f)", setup, start_date=start_date)
setup = common_setup + """
"""
packers_write_pack = Benchmark("df2.to_msgpack(f)", setup, cleanup="remove(f)", start_date=start_date)
#----------------------------------------------------------------------
# pickle
setup = common_setup + """
df2.to_pickle(f)
"""
packers_read_pickle = Benchmark("pd.read_pickle(f)", setup, start_date=start_date)
setup = common_setup + """
"""
packers_write_pickle = Benchmark("df2.to_pickle(f)", setup, cleanup="remove(f)", start_date=start_date)
#----------------------------------------------------------------------
# csv
setup = common_setup + """
df.to_csv(f)
"""
packers_read_csv = Benchmark("pd.read_csv(f)", setup, start_date=start_date)
setup = common_setup + """
"""
packers_write_csv = Benchmark("df.to_csv(f)", setup, cleanup="remove(f)", start_date=start_date)
#----------------------------------------------------------------------
# hdf store
setup = common_setup + """
df2.to_hdf(f,'df')
"""
packers_read_hdf_store = Benchmark("pd.read_hdf(f,'df')", setup, start_date=start_date)
setup = common_setup + """
"""
packers_write_hdf_store = Benchmark("df2.to_hdf(f,'df')", setup, cleanup="remove(f)", start_date=start_date)
#----------------------------------------------------------------------
# hdf table
setup = common_setup + """
df2.to_hdf(f,'df',table=True)
"""
packers_read_hdf_table = Benchmark("pd.read_hdf(f,'df')", setup, start_date=start_date)
setup = common_setup + """
"""
packers_write_hdf_table = Benchmark("df2.to_hdf(f,'df',table=True)", setup, cleanup="remove(f)", start_date=start_date)
#----------------------------------------------------------------------
# json
setup_int_index = """
import numpy as np
df.index = np.arange(N)
"""
setup = common_setup + """
df.to_json(f,orient='split')
"""
packers_read_json_date_index = Benchmark("pd.read_json(f, orient='split')", setup, start_date=start_date)
setup = setup + setup_int_index
packers_read_json = Benchmark("pd.read_json(f, orient='split')", setup, start_date=start_date)
setup = common_setup + """
"""
packers_write_json_date_index = Benchmark("df.to_json(f,orient='split')", setup, cleanup="remove(f)", start_date=start_date)
setup = setup + setup_int_index
packers_write_json = Benchmark("df.to_json(f,orient='split')", setup, cleanup="remove(f)", start_date=start_date)
#----------------------------------------------------------------------
# stata
setup = common_setup + """
df.to_stata(f, {'index': 'tc'})
"""
packers_read_stata = Benchmark("pd.read_stata(f)", setup, start_date=start_date)
packers_write_stata = Benchmark("df.to_stata(f, {'index': 'tc'})", setup, cleanup="remove(f)", start_date=start_date)
setup = common_setup + """
df['int8_'] = [randint(-127,100) for _ in range(N)]
df['int16_'] = [randint(-127,100) for _ in range(N)]
df['int32_'] = [randint(-127,100) for _ in range(N)]
df['float32_'] = np.array(randn(N), dtype=np.float32)
df.to_stata(f, {'index': 'tc'})
"""
packers_read_stata_with_int = Benchmark("pd.read_stata(f)", setup, start_date=start_date)
packers_write_stata_with_int = Benchmark("df.to_stata(f, {'index': 'tc'})", setup, cleanup="remove(f)", start_date=start_date)