new dataframe based on certain row conditions
filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]
new dataframe based on certain row conditions
filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]
pandas look for values in column with condition
# The common syntax is df.loc[], the condition is put in the bracket
#Eg, look for rows with column1 > 5 and column2 = 3
df.loc[(df['column_1'] > 5) & (df['column_2'] = 3)]
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