comparing two dataframe columns
comparison_column = np.where(df["col1"] == df["col2"], True, False)comparing two dataframe columns
comparison_column = np.where(df["col1"] == df["col2"], True, False)compare multiple columns in pandas
df['Result'] = (df.iloc[:, 1:4].values < df[['E']].values).all(axis=1).astype(int)
print (df)
A B C D E Result
0 V 10 5 18 20 1
1 W 9 18 11 13 0
2 X 8 7 12 5 0
3 Y 7 9 7 8 0
4 Z 6 5 3 90 1find difference between two pandas dataframes
# by doing outer, you will get records from both the sides.
f = df1.merge(df2,indicator = True, how='outer').loc[lambda x : x['_merge']!='both']
Out[421]:
A B _merge
1 2 3 left_only
2 3 4 left_only
3 3 4 left_only
left_unique_result = f.loc[lambda x: x['_merge'] == 'left_only']
right_unique_result = f.loc[lambda x: x['_merge'] == 'right_only']Copyright © 2021 Codeinu
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