Pandas df exact equals

>>> from pandas._testing import assert_frame_equal
>>> df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
>>> df2 = pd.DataFrame({'a': [1, 2], 'b': [3.0, 4.0]})
>>> df3 = pd.DataFrame({'a': [1, 2], 'b': [3.0, 4.0]})
>>> assert_frame_equal(df1, df2)
False
>>> assert_frame_equal(df2, df3)
True
>>> assert_frame_equal(df1, df2, check_dtype=False)
True

Source: pandas.pydata.org

Pandas two dataframes equal

>>> df = pd.DataFrame({1: [10], 2: [20]})

>>> exactly_equal = pd.DataFrame({1: [10], 2: [20]}) # Note the same as above

>>> df.equals(exactly_equal)
True
# Two are the same hence true. If not would be false

-1

Similar codes

8 votes280 views2 answers
Determinant of matrix in python
Python
0 vote207 views1 answer
Pip install arcpy python 3
Python
1 vote185 views1 answer
Boolean python meaning for idiots
Python
0 vote277 views2 answers
How to avoid inserting duplicate records in orm django
Python Django
4 votes158 views1 answer
Datetime has no attribute now
Python
0 vote223 views1 answer
Accessing Java Array Elements using for Loop
Python
0 vote189 views1 answer
Download viper for python ubutunu
Python
2 votes201 views1 answer
How to return PIL image from opencv
Python
0 vote206 views1 answer
Padnas get list of rows
Python
6 votes227 views5 answers
Mean python
Python