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

1 vote352 views1 answer
Rangoli in python
Python
0 vote345 views1 answer
How to search on wikipedia with python and speak the result
Python
0 vote331 views1 answer
Adding text cv2
Python
10 votes329 views4 answers
Python bold text
Python
1 vote353 views1 answer
Convert base64 to image python
Python
0 vote352 views1 answer
What does -> none do in python
Python
0 vote353 views1 answer
Python is instance numpy arrya
Python
0 vote338 views1 answer
How to deal with SettingWithCopyWarning in Pandas
Python
1 vote343 views2 answers
Change xticks python
Python
0 vote349 views1 answer
Python compare each item of one list
Python