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,...
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，...
ascending=False)assert_frame_equal(df, sorted_df) 开发者ID:AlexisMignon,项目名称:pandas,代码行数:7,代码来源:test_sorting.py 示例5: test_query_python ▲点赞 1▼ deftest_query_python(self):df = self.df result = df.query('A>0', engine='python')assert_frame_equal(result, self.expected1...
>>> 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...
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....
Method/Function:assert_frame_equal 导入包:pandasutiltesting 每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。 示例1 deftest_groupby_to_series_to_frame_2(self):df=pd.DataFrame({'a':[6,2,2],'b':[4,5,6]})labels=['g1','g1','g2']benchmark=df.groupby(labels).ap...
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
# Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, ...
assert_frame_equal(_concat(frames3), pd.concat(frames4)) # Non-categorical DataFrame, Categorical Index tm.assert_frame_equal(_concat([i[['x', 'z']] for i in frames3]), pd.concat([i[['x', 'z']] for i in frames4])) # Categorical Series, Categorical Index tm.assert_series_...
wxPython 笔记(4)自定义Frame 在前一篇 《wxPython 笔记(3)基本结构》中,我们用 wx.Frame 创建了一个窗体。但是一般情况下,我们都是从 wx.Frame 继承并创建一个自定义的 Frame 类,并用自定义的 Frame 类来创建窗体。在自定义的 Frame 中,我们可以加入以下一些功能:...