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)pandas merge two columns from different dataframes
#suppose you have two dataframes df1 and df2, and
#you need to merge them along the column id
df_merge_col = pd.merge(df1, df2, on='id')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 1pandas compare two columns of different dataframe
df1['priceDiff?'] = np.where(df1['Price1'] == df2['Price2'], 0, df1['Price1'] - df2['Price2'])pandas compare two columns of different dataframe
import numpy as np
df1['low_value'] = np.where(df1.value <= df2.low, 'True', 'False')Copyright © 2021 Codeinu
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