Skip to content

BENCH: asv csv reading benchmarks now rewind StringIO objects #21807

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jul 28, 2018
Merged

BENCH: asv csv reading benchmarks now rewind StringIO objects #21807

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
52 changes: 32 additions & 20 deletions asv_bench/benchmarks/io/csv.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,14 @@ def time_frame_date_formatting(self):
self.data.to_csv(self.fname, date_format='%Y%m%d')


class ReadCSVDInferDatetimeFormat(object):
class StringIORewind(object):

def data(self, stringio_object):
stringio_object.seek(0)
return stringio_object


class ReadCSVDInferDatetimeFormat(StringIORewind):

goal_time = 0.2
params = ([True, False], ['custom', 'iso8601', 'ymd'])
Expand All @@ -66,10 +73,12 @@ def setup(self, infer_datetime_format, format):
'iso8601': '%Y-%m-%d %H:%M:%S',
'ymd': '%Y%m%d'}
dt_format = formats[format]
self.data = StringIO('\n'.join(rng.strftime(dt_format).tolist()))
self.StringIO_input = StringIO('\n'.join(
rng.strftime(dt_format).tolist()))

def time_read_csv(self, infer_datetime_format, format):
read_csv(self.data, header=None, names=['foo'], parse_dates=['foo'],
read_csv(self.data(self.StringIO_input),
header=None, names=['foo'], parse_dates=['foo'],
infer_datetime_format=infer_datetime_format)


Expand All @@ -95,7 +104,7 @@ def time_skipprows(self, skiprows):
read_csv(self.fname, skiprows=skiprows)


class ReadUint64Integers(object):
class ReadUint64Integers(StringIORewind):

goal_time = 0.2

Expand All @@ -108,13 +117,13 @@ def setup(self):
self.data2 = StringIO('\n'.join(arr.astype(str).tolist()))

def time_read_uint64(self):
read_csv(self.data1, header=None, names=['foo'])
read_csv(self.data(self.data1), header=None, names=['foo'])

def time_read_uint64_neg_values(self):
read_csv(self.data2, header=None, names=['foo'])
read_csv(self.data(self.data2), header=None, names=['foo'])

def time_read_uint64_na_values(self):
read_csv(self.data1, header=None, names=['foo'],
read_csv(self.data(self.data1), header=None, names=['foo'],
na_values=self.na_values)


Expand All @@ -140,19 +149,20 @@ def time_thousands(self, sep, thousands):
read_csv(self.fname, sep=sep, thousands=thousands)


class ReadCSVComment(object):
class ReadCSVComment(StringIORewind):

goal_time = 0.2

def setup(self):
data = ['A,B,C'] + (['1,2,3 # comment'] * 100000)
self.s_data = StringIO('\n'.join(data))
self.StringIO_input = StringIO('\n'.join(data))

def time_comment(self):
read_csv(self.s_data, comment='#', header=None, names=list('abc'))
read_csv(self.data(self.StringIO_input), comment='#',
header=None, names=list('abc'))


class ReadCSVFloatPrecision(object):
class ReadCSVFloatPrecision(StringIORewind):

goal_time = 0.2
params = ([',', ';'], ['.', '_'], [None, 'high', 'round_trip'])
Expand All @@ -164,14 +174,14 @@ def setup(self, sep, decimal, float_precision):
rows = sep.join(['0{}'.format(decimal) + '{}'] * 3) + '\n'
data = rows * 5
data = data.format(*floats) * 200 # 1000 x 3 strings csv
self.s_data = StringIO(data)
self.StringIO_input = StringIO(data)

def time_read_csv(self, sep, decimal, float_precision):
read_csv(self.s_data, sep=sep, header=None, names=list('abc'),
float_precision=float_precision)
read_csv(self.data(self.StringIO_input), sep=sep, header=None,
names=list('abc'), float_precision=float_precision)

def time_read_csv_python_engine(self, sep, decimal, float_precision):
read_csv(self.s_data, sep=sep, header=None, engine='python',
read_csv(self.data(self.StringIO_input), sep=sep, header=None, engine='python',
float_precision=None, names=list('abc'))


Expand All @@ -193,7 +203,7 @@ def time_convert_direct(self):
read_csv(self.fname, dtype='category')


class ReadCSVParseDates(object):
class ReadCSVParseDates(StringIORewind):

goal_time = 0.2

Expand All @@ -206,12 +216,14 @@ def setup(self):
"""
two_cols = ['KORD,19990127'] * 5
data = data.format(*two_cols)
self.s_data = StringIO(data)
self.StringIO_input = StringIO(data)

def time_multiple_date(self):
read_csv(self.s_data, sep=',', header=None,
names=list(string.digits[:9]), parse_dates=[[1, 2], [1, 3]])
read_csv(self.data(self.StringIO_input), sep=',', header=None,
names=list(string.digits[:9]),
parse_dates=[[1, 2], [1, 3]])

def time_baseline(self):
read_csv(self.s_data, sep=',', header=None, parse_dates=[1],
read_csv(self.data(self.StringIO_input), sep=',', header=None,
parse_dates=[1],
names=list(string.digits[:9]))