Duplicate and rename column value where condition is satisfied in dataframe

Question

age	gender	occupation
19	Female	High School
45	Male	Designer
34	Both Gender	Coder

This is how my dataframe looks; wherever the gender is 'Both Gender' I would like to duplicate the rows and create a row for both genders.

Expected Result -

age	gender	occupation
19	Female	High School
45	Male	Designer
34	Female	Coder
34	Male	Coder

Answer 1

dict1 = {"age": [19,45,34],
         "gender": ["F","M","B"],
         "occupation" : ["HS","grad","Coder"]}
df1 = pd.DataFrame(dict1)    
df = df1[df1.gender == "B"]
df2 = df1[df1.gender == "B"]
df1 = df1[(df1.gender == "M") | (df1.gender == "F")]
df.gender = "M"
df2.gender = "F"
df3 = pd.concat([df1,df,df2])
df3

I think the above code will work.