pandas.testing.assert_frame_equal(left, right, check_dtype=True, check_index_type='equiv', check_column_type='equiv', check_frame_type=True, check_less_precise=NoDefault.no_default, check_names=True, by_blocks=False, check_exact=False, check_datetimelike_compat=False, check_categorical=True,...
2,2],'b':[4,5,6]})labels=['g1','g1','g2']benchmark=df.groupby(labels).apply(frame_to_series)result=pandas_easy.groupby_to_series_to_frame(df,frame_to_series,1,use_apply=False,by=labels)assert_frame_equal(result,benchmark)...
alecxe的回答是不完整的，你确实可以使用pandas的assert_frame_equal()与unittest.TestCase，使用unittest....
result = pandas_easy.groupby_to_series_to_frame( df, frame_to_series,1, use_apply=False, by=labels)assert_frame_equal(result, benchmark) 开发者ID:PaulHastings,项目名称:rosetta,代码行数:7,代码来源:test_parallel.py 示例2: test_query_with_nested_special_character ▲点赞 5▼ deftest_query_...
>>> pd.testing.assert_frame_equal(df1, df2) /pandas/core/dtypes/missing.py:503: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty. return lib.arra...
# Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, ...
assert_panel_equal(out, expected) 浏览完整代码 来源:test_generic.py 项目:bkandel/pandas 示例2 def test_setitem(self): # LongPanel with one item # lp = self.panel.filter(['ItemA', 'ItemB']).to_frame() # self.assertRaises(Exception, self.panel.__setitem__, # 'ItemE', lp) # ...
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - BUG: `assert_frame_equal` behaves differently when comparing a mostly-numeric
Python 使用一种称为 引用计数 的垃圾回收机制来管理内存。在这种机制下，每个对象都有一个引用计数器，...
assertDictEqual方法是使用!=操作符比较两个dict。当dict类型为!=和==操作返回单个True/False时，...