assert_frame_equal()是pytest库中的一个函数,可以用来断言两个DataFrame是否相等。该函数会同时比较DataFrame的形状、索引和值。如果所有条件都满足,则测试通过;否则,测试失败并抛出异常。首先,你需要安装pytest库(如果尚未安装): pip install pytest 然后,在Python脚本或交互式环境中导入ass
assert_frame_equal()是pytest库中的一个函数,用于断言两个DataFrame是否相等。它同时比较DataFrame的形状、索引和值。如果所有条件都满足,则测试通过;否则,测试失败并抛出异常。 python from pandas.testing import assert_frame_equal try: assert_frame_equal(df1, df2) print("两个DataFrame相等") except Assertion...
df2= pd.DataFrame({'a': [1, 2],'b': [5, 6]}) assert_frame_equal(df1, df2)
assert_frame_equal(df1, df1) 若相等没有返回值 assert_frame_equal(df1, df2) 若不相等,即使类型不同也会显示 Source code detail: def assert_frame_equal( left, right, check_dtype=True, check_index_type="equiv", check_column_type="equiv", check_frame_type=True, check_less_precise=no_defaul...
assert_frame_equal是比较两个df是否完全一模一样。index都要一样! import pandas as pd import numpy as np from pandas.testing import assert_frame_equal df1 = pd.DataFrame(np.arange(12).reshape(3, -1)) df2 = pd.DataFrame(np.arange(12).reshape(3, -1)) df1 == df2 assert_frame_equal(df1...
assert_frame_equal(left=df2[check_columns], right=df1[check_columns], check_dtype=False, check_names=False, rtol=1e-4) 1. 2. 打乱DataFrame数据顺序 使用sklearn中的shuffle: from sklearn.utils import shuffle df = shuffle(df)使用pandas中的随机抽样: ...
movie_equal.all().all() False movie_equal.size - movie_equal.sum().sum() 2654 movie.isnull().sum().sum() 2654 比较两个DataFrame最直接的方法是使用equals()方法 frompandas.testingimportassert_frame_equal assert_frame_equal(movie, movie) ...
DataFrame({"A": []}) assert_frame_equal(df1,df2) 输出 代码语言:javascript 运行 AI代码解释 DataFrame.index classes are not equivalent [left]: Index([], dtype='object') [right]: RangeIndex(start=0, stop=0, step=1) 然后 代码语言:javascript 运行 AI代码解释 assert_frame_equal(df1.reset...
{'A':[1,2,3]},index=[0,1,2])df2=pd.DataFrame({'C':[4,5,6]},index=[0,1,2])result=pd.concat([df1,df2],axis=1)expected=pd.DataFrame({'A':[1,2,3],'C':[4,5,6]},index=[0,1,2])pd.testing.assert_frame_equal(result,expected)if__name__=='__main__':unittest....
testing import assert_frame_equal In[60]: assert_frame_equal(college_ugds_, college_ugds_) Out[60]: True 更多 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # eq()方法类似于==,和前面的equals有所不同 In[61]: college_ugds_.eq(.0019).head() Out[61]: ...