Python grouping Orderbook (Pandas dataframe)

     asks_price  asks_qty exchange_name_ask     bids_price  bids_qty exchange_name_bid
0      20156.51  0.000745          Coinbase      20153.28  0.000200          Coinbase
1      20157.52  0.050000          Coinbase      20152.27  0.051000          Coinbase
2      20158.52  0.000745          Coinbase      20151.28  0.000200          Kraken
3      20158.52  0.050000          FTX           20151.28  0.051000          Coinbase

I would like to group the same price, add quantity together and combine the name of the exchange like :

     asks_price  asks_qty exchange_name_ask     bids_price  bids_qty exchange_name_bid
0    20156.51  0.000745          Coinbase      20153.28  0.000200          Coinbase
1    20157.52  0.050000          Coinbase      20152.27  0.051000          Coinbase
2    20158.52  0.050745          CoinbaseFTX   20151.28  0.051200       KrakenCoinbase

Thanks you for help

>Solution :

df.groupby(['asks_price', 'bids_price'], as_index=False).sum(False)

    asks_price  bids_price  asks_qty    exchange_name_ask   bids_qty    exchange_name_bid
0   20156.51    20153.28    0.000745    Coinbase            0.0002      Coinbase
1   20157.52    20152.27    0.050000    Coinbase            0.0510      Coinbase
2   20158.52    20151.28    0.050745    CoinbaseFTX         0.0512      KrakenCoinbase