check a one by one row of two columns in two dataframes code example

Example 1: pandas compare two columns of different dataframe

df3 = [(df2.type.isin(df1.type)) & (df1.value.between(df2.low,df2.high,inclusive=True))]
df1.join(df3)

Example 2: 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')