How To Find difference between two data frames? Today in this tutorial we are going to learn about Find the difference between two data frames in Python so without wasting your time let’s start this tutorial.
- How To Find difference between two data frames?
To Find difference between two data frames You can Also Use
isinittupleto get differentiate. Just like this: dtfrm1[~dtfrm1.apply(tuple,1).isin(dtfrm2.apply(tuple,1))] And now you can achieve differentiate. - Find difference between two data frames
To Find difference between two data frames You can find the difference between two data frames using drop_duplicates and it will drop duplicate values and in the output, you will get the difference: pd.concat([dtfrm1,dtfrm2]).drop_duplicates(keep=False) And now, You can find differences between your two data frames. Thanks.
Method 1: Use drop_duplicates
You can find the difference between two data frames using drop_duplicates and it will drop duplicate values and in the output, you will get the difference.
pd.concat([dtfrm1,dtfrm2]).drop_duplicates(keep=False)
And now, You can find differences between your two data frames. Thanks.
Method 2: Use isin with tuple
You can Also Use isin it tuple to get differentiate. Just like this.
dtfrm1[~dtfrm1.apply(tuple,1).isin(dtfrm2.apply(tuple,1))]And now you can achieve differentiate.
Method 3: Use merge with indicator
You can Also Use merge it with indicator to get differentiate. Just like this.
dtfrm1.merge(dtfrm2,indicator = True, how='left').loc[lambda x : x['_merge']!='both']
And now you can achieve differentiation.
Conclusion
It’s all About this article. Hope this method worked for you. Comment below Your thoughts and your queries. Also, Comment below which method worked for you?
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