forked from pandas-dev/pandas
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathparsers.py
42 lines (31 loc) · 1.01 KB
/
parsers.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
import numpy as np
try:
from pandas._libs.tslibs.parsing import (
_does_string_look_like_datetime,
concat_date_cols,
)
except ImportError:
# Avoid whole benchmark suite import failure on asv (currently 0.4)
pass
class DoesStringLookLikeDatetime:
params = (["2Q2005", "0.0", "10000"],)
param_names = ["value"]
def setup(self, value):
self.objects = [value] * 1000000
def time_check_datetimes(self, value):
for obj in self.objects:
_does_string_look_like_datetime(obj)
class ConcatDateCols:
params = ([1234567890, "AAAA"], [1, 2])
param_names = ["value", "dim"]
def setup(self, value, dim):
count_elem = 10000
if dim == 1:
self.object = (np.array([value] * count_elem),)
if dim == 2:
self.object = (
np.array([value] * count_elem),
np.array([value] * count_elem),
)
def time_check_concat(self, value, dim):
concat_date_cols(self.object)