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pythonpandasdataframedata-analysis

comparing two Dataframe columns to check if they have same value in python

I have two dataframes,

new1.
      Name       city
 0    sri won    chn
 1    pechi won  pune
 2    Ram won    mum
 0    pec won    kerala

new3
    req
0   pec
1   mut

I tried, 

mask=new1.Name.str.contains("|".join(new3.req.values.tolist()))
new1[mask]

I am getting,

 new1[mask]
      Name       city
 1  pechi won    pune
 0  pec won      kerala

As "pechi" contains "pec", it took this valu. but I want the exact match between the values not "contains"

my desired output is,

 new1[mask]
      Name       city
 0  pec won      kerala
Solution

  • You need \b that means "word boundary":

    a = r'\b(' + "|".join(new3.req.values.tolist()) + r')\b'
print (a)
\b(pec|mut)\b

mask=new1.Name.str.contains(a)
df = new1[mask]
print (df)
      Name    city
0  pec won  kerala