Create edgelist from dataframe with groups in Python

Question

I have the following data:

import pandas as pd
employee=["a","b","a","c","d","e","c","d","f"]
project=[1,1,2,2,2,3,3,4,4]
df=pd.DataFrame({"employee":employee,
             "project":project})

I want to make an edgelist from this dataframe. In the past when I was using RI used the following code:

edges<-unique(df %>% group_by(project) %>%
            filter(n()>=2) %>% group_by(project) %>%
            do(data.frame(t(combn(.$employee, 2)), stringsAsFactors=FALSE)))
edges<-subset(edges,as.numeric(edges$X1)-as.numeric(edges$X2)!=0)

However, I don't succeed when I want to do the same thing in Python. Can anybody help with some tips on how to transform this (probably via an adjacency matrix) into an edge-list.

The desired result should look something like this

employee1  employee2
A            B 
A            C
C            D  
E            C
D            F

EDIT: I finally found my answer: pandas - reshape dataframe to edge list according to column values