Comparación de dos columnas de marco de datos
comparison_column = np.where(df["col1"] == df["col2"], True, False)
Tense Turtle
comparison_column = np.where(df["col1"] == df["col2"], True, False)df1['priceDiff?'] = np.where(df1['Price1'] == df2['Price2'], 0, df1['Price1'] - df2['Price2'])
df3 = [(df2.type.isin(df1.type)) & (df1.value.between(df2.low,df2.high,inclusive=True))]
df1.join(df3)
import numpy as np
df1['low_value'] = np.where(df1.value <= df2.low, 'True', 'False')
import numpy as np
df1['low_high_value'] = np.where((df1.value >= df2.low) & (df1.value <= df2.high), 'True', 'False')