在单元测试中创建 pandas 数据框
creating pandas data frame in unittest
我在单元测试文件中尝试创建 Pandas 数据框时遇到了一个我不明白的问题。错误发生在 class 中的函数被调用之前。
这里是一个简单的重现代码:
import unittest
import pandas as pd
import numpy as np
class simpleTest(unitest.TestCase):
dates = pd.date_range('20160101', periods = 5)
dataDf = pd.DataFrame({'date': dates,
'count': np.array([3, 7, 4, 66, 9])})
def doSomething(self):
pass
if __name__ == '__main__':
unittest.main()
我得到的错误是这样的:
Traceback (most recent call last):
File "tsa_test.py", line 31, in <module>
unittest.main()
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/main.py", line 94, in __init__
self.parseArgs(argv)
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/main.py", line 149, in parseArgs
self.createTests()
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/main.py", line 158, in createTests
self.module)
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/loader.py", line 130, in loadTestsFromNames
suites = [self.loadTestsFromName(name, module) for name in names]
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/loader.py", line 100, in loadTestsFromName
parent, obj = obj, getattr(obj, part)
AttributeError: 'module' object has no attribute '-'
你的单元测试代码有问题。您在 subclassing unittest.TestCase
中做对了,所以这一行是可以的:
class simpleTest(unitest.TestCase):
但是,此 class 现在应该具有如下所示的方法:
def test_foo(self):
...
(注意他们应该以test_
开头,并且应该取self
)。任何此类方法的遗漏都会混淆 unittest。
另外,您有静态 class 成员,您可能打算将其用作 class 固定装置。那是 not how it's done in unittest。您的 class 应如下所示:
class simpleTest(unitest.TestCase):
@classmethod
def setUpClass(cls):
cls.dates = pd.date_range('20160101', periods = 5)
cls.dataDf = pd.DataFrame({'date': cls.dates,
'count': np.array([3, 7, 4, 66, 9])})
def test_foo(self):
# Note that here you access things like so:
self.dataDF
# even though you defined it as a class instance - that's how unittest works
我在单元测试文件中尝试创建 Pandas 数据框时遇到了一个我不明白的问题。错误发生在 class 中的函数被调用之前。
这里是一个简单的重现代码:
import unittest
import pandas as pd
import numpy as np
class simpleTest(unitest.TestCase):
dates = pd.date_range('20160101', periods = 5)
dataDf = pd.DataFrame({'date': dates,
'count': np.array([3, 7, 4, 66, 9])})
def doSomething(self):
pass
if __name__ == '__main__':
unittest.main()
我得到的错误是这样的:
Traceback (most recent call last):
File "tsa_test.py", line 31, in <module>
unittest.main()
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/main.py", line 94, in __init__
self.parseArgs(argv)
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/main.py", line 149, in parseArgs
self.createTests()
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/main.py", line 158, in createTests
self.module)
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/loader.py", line 130, in loadTestsFromNames
suites = [self.loadTestsFromName(name, module) for name in names]
File "/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/unittest/loader.py", line 100, in loadTestsFromName
parent, obj = obj, getattr(obj, part)
AttributeError: 'module' object has no attribute '-'
你的单元测试代码有问题。您在 subclassing unittest.TestCase
中做对了,所以这一行是可以的:
class simpleTest(unitest.TestCase):
但是,此 class 现在应该具有如下所示的方法:
def test_foo(self):
...
(注意他们应该以test_
开头,并且应该取self
)。任何此类方法的遗漏都会混淆 unittest。
另外,您有静态 class 成员,您可能打算将其用作 class 固定装置。那是 not how it's done in unittest。您的 class 应如下所示:
class simpleTest(unitest.TestCase):
@classmethod
def setUpClass(cls):
cls.dates = pd.date_range('20160101', periods = 5)
cls.dataDf = pd.DataFrame({'date': cls.dates,
'count': np.array([3, 7, 4, 66, 9])})
def test_foo(self):
# Note that here you access things like so:
self.dataDF
# even though you defined it as a class instance - that's how unittest works