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=
你确实可以使用pandas的assert_frame_equal()与unittest.TestCase，使用unittest.TestCase.addTypeEqualityFu...
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)...
>>> 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...
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，...
assert_index_equal(a, b, exact=False) if is_float_index: assert isinstance(b, Float64Index) else: self.check_is_index(b) 浏览完整代码 来源:test_numeric.py 项目:DusanMilunovic/pandas 示例24 def test_frame_to_period(self): K = 5 from pandas.tseries.period import period_range dr = ...
>>> from pandas import testing as tm >>> a = pd.Series([1, 2, 3, 4]) >>> b, c = a.array, a.array >>> tm.assert_extension_array_equal(b, c)相關用法 Python pandas.testing.assert_frame_equal用法及代碼示例 Python pandas.testing.assert_index_equal用法及代碼示例 Python pandas....
assert_sp_frame_equal(result, sdf) msg = "the 'axes' parameter is not supported" tm.assert_raises_regex(ValueError, msg, np.transpose, sdf, axes=1)浏览完整代码 来源:test_frame.py 项目:MasonGallo/pandas示例11def test_period_array_freq_mismatch(): arr = period_array(['2000', '2001']...
pandas.testing.assert_series_equal(left, right, check_dtype=True, check_index_type='equiv', check_series_type=True, check_less_precise=NoDefault.no_default, check_names=True, check_exact=False, check_datetimelike_compat=False, check_categorical=True, check_category_order=True, check_freq=True...
pandas.testing.assert_index_equal(left, right, exact='equiv', check_names=True, check_less_precise=NoDefault.no_default, check_exact=True, check_categorical=True, check_order=True, rtol=1e-05, atol=1e-08, obj='Index') 检查左右索引是否相等。