Answers for "detect different columns dataframes"

Python

pandas compare two columns of different dataframe

df1['priceDiff?'] = np.where(df1['Price1'] == df2['Price2'], 0, df1['Price1'] - df2['Price2'])

Posted by: Guest on May-01-2020

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pandas difference between two dataframes

source_df.merge(target_df,how='left',indicator=True).loc[lambda x:x['_merged']!='both']

Posted by: Guest on April-18-2020

pandas compare two columns of different dataframe

import numpy as np
df1['low_high_value'] = np.where((df1.value >= df2.low) & (df1.value <= df2.high), 'True', 'False')

Posted by: Guest on May-01-2020

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pandas compare two columns of different dataframe

df1['enh2'] = pd.Series((df2.type.isin(df1.type)) & (df1.value != df2.low)  | (df1.value + 1 == df2.high))

Posted by: Guest on May-01-2020

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