ValueError: Can only compare identically-labeled DataFrame objects in Python
Dung Do Tien
Jul 12 2022
342
Hi guys.
I am trying to create a python app with two dataframes and I want to compare them by using == operator. You can see the demo here:
import pandas as pd
dfa = pd.DataFrame({'Bodyweight (kg)':[760, 840, 930, 1060, 1200, 560], 'Bench press (kg)':[1350, 1500, 1700, 1400, 1080, 1505]},
index = ['index_1', 'index_2', 'index_3', 'index_4', 'index_5', 'index_6'])
dfb = pd.DataFrame({'Bodyweight (kg)':[756, 840, 903, 1006, 1200, 560], 'Bench press (kg)':[1405, 1020, 1080, 2200, 1075, 1010]},
index = ['index_A', 'index_B', 'index_C', 'index_D', 'index_E', 'index_F'])
print(dfa == dfb)
But when ran this code I got an exception ValueError: Can only compare identically-labeled DataFrame objects. Here is the full exception:
Traceback (most recent call last):
File "main.py", line 7, in <module>
print(dfa == dfb)
File "/usr/lib/python3.8/site-packages/pandas/core/ops/__init__.py", line 701, in f
self, other = _align_method_FRAME(self, other, axis, level=None, flex=False)
File "/usr/lib/python3.8/site-packages/pandas/core/ops/__init__.py", line 510, in _align_method_FRAME
raise ValueError(
ValueError: Can only compare identically-labeled DataFrame objects
** Process exited - Return Code: 1 **
Press Enter to exit terminal
Can anyone help me?
Thanks in advance
Have 1 answer(s) found.
-
R0
Roshna t.v. Jul 12 2022
We can drop the indexes of the DataFrames using the
reset_index()method, then we can compare the DataFrames. To drop the indexes, we need to set the parameterdrop = True. And then we can use theequals()method to see if all elements are the same in bothDataFrameobjects. Let’s look at the code:import pandas as pd dfa = pd.DataFrame({'Bodyweight (kg)':[760, 840, 930, 1060, 1200, 560], 'Bench press (kg)':[1350, 1500, 1700, 1400, 1080, 1505]}, index = ['index_1', 'index_2', 'index_3', 'index_4', 'index_5', 'index_6']) dfb = pd.DataFrame({'Bodyweight (kg)':[756, 840, 903, 1006, 1200, 560], 'Bench press (kg)':[1405, 1020, 1080, 2200, 1075, 1010]}, index = ['index_A', 'index_B', 'index_C', 'index_D', 'index_E', 'index_F']) dfa = dfa.reset_index(drop=True) dfb = dfb.reset_index(drop=True) print(dfa == dfb)#Output
Bodyweight (kg) Bench press (kg) 0 False False 1 True False 2 False False 3 False False 4 True False 5 True False ** Process exited - Return Code: 0 ** Press Enter to exit terminalI hope this answer is helpful to you.
* Type maximum 2000 characters.
* All comments have to wait approved before display.
* Please polite comment and respect questions and answers of others.